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ORCIDSridhar Krishnan 0001
Sridhar Sri Krishnan
Person information
- affiliation: Toronto Metropolitan University, Canada
- affiliation (PhD 1999): University of Calgary, AB, Canada
Other persons with the same name
- Sridhar Krishnan 0002 — Texas Instruments, Dallas, TX, USA
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Journal Articles
- 2024
[j91]Garima Sharma
, Karthikeyan Umapathy, Sridhar Krishnan:
Time-Frequency Scattergrams for Biomedical Audio Signal Representation and Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 564-576 (2024)- 2023
- [j90]Binh P. Nguyen, Andrei B. B. Torres, Caroline W. Espinola, Walter Sim, Deborah Kenny, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Elizabeth Peter, Adam Dubrowski, Sridhar Krishnan, Venkat Bhat:
Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic. Comput. Methods Programs Biomed. 240: 107645 (2023) - 2022
- [j89]Syem Ishaque, Naimul Khan, Sridhar Krishnan:
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis. Biomed. Signal Process. Control. 74: 103484 (2022) - [j88]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
Visual saliency detection approach for long-term ECG analysis. Comput. Methods Programs Biomed. 213: 106518 (2022) - [j87]Alice Rueda, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth, Sridhar Krishnan:
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Comput. Speech Lang. 72: 101322 (2022) - [j86]Anupreet Kaur Singh, Sridhar Krishnan:
Trends in EEG signal feature extraction applications. Frontiers Artif. Intell. 5 (2022) - [j85]Fayez Qureshi, Sridhar Krishnan:
Design and Analysis of Electronic Head Protector for Taekwondo Sports. Sensors 22(4): 1415 (2022) - [j84]Ana Cecilia Villa-Parra, Ismael Criollo, Carlos Valadão, Leticia Silva, Yves Luduvico Coelho, Lucas Lampier, Luara Rangel, Garima Sharma, Denis Delisle Rodríguez, John Calle Sigüencia, Fernando Urgiles-Ortiz, Camilo A. R. Díaz, Eliete Caldeira, Sridhar Krishnan, Teodiano Freire Bastos-Filho:
Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms. Sensors 22(12): 4341 (2022) - [j83]Michael Nigro, Sridhar Krishnan:
Multimodal System for Audio Scene Source Counting and Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1073-1082 (2022) - 2021
- [j82]Garima Sharma, Xiao-Ping Zhang, Karthikeyan Umapathy, Sridhar Krishnan:
Audio texture and age-wise analysis of disordered speech in children having specific language impairment. Biomed. Signal Process. Control. 66: 102471 (2021) - [j81]Syem Ishaque, Naimul Mefraz Khan, Sridhar Krishnan:
Trends in Heart-Rate Variability Signal Analysis. Frontiers Digit. Health 3: 639444 (2021) - [j80]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. Frontiers Digit. Health 3: 738996 (2021) - [j79]Vivianne Cardoso, Denis Delisle Rodríguez, M. Alejandra Romero-Laiseca, Flávia A. Loterio, Dharmendra Gurve, Alan Floriano, Carlos Valadão, Leticia Silva, Sridhar Krishnan, Anselmo Frizera-Neto, Teodiano Freire Bastos-Filho:
Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity. Sensors 21(6): 2020 (2021) - 2020
- [j78]Yashodhan Rajiv Athavale, Sridhar Krishnan:
A telehealth system framework for assessing knee-joint conditions using vibroarthrographic signals. Biomed. Signal Process. Control. 55 (2020) - [j77]Jeevan K. Pant, Sridhar Krishnan:
Group sparse structure and elastic-net regularization for compressive sensing of pulse-type physiological signals. Biomed. Signal Process. Control. 57 (2020) - [j76]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
Robust identification of QRS-complexes in electrocardiogram signals using a combination of interval and trigonometric threshold values. Biomed. Signal Process. Control. 61: 102007 (2020) - [j75]Sourav Kumar Mukhopadhyay, Sridhar Krishnan:
A singular spectrum analysis-based model-free electrocardiogram denoising technique. Comput. Methods Programs Biomed. 188: 105304 (2020) - [j74]Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano Freire Bastos-Filho, Sridhar Krishnan:
Trends in Compressive Sensing for EEG Signal Processing Applications. Sensors 20(13): 3703 (2020) - [j73]Dharmendra Gurve, Sridhar Krishnan:
Separation of Fetal-ECG From Single-Channel Abdominal ECG Using Activation Scaled Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 24(3): 669-680 (2020) - 2018
- [j72]Dharmendra Gurve, Sridhar Krishnan:
Deep Learning of EEG Time-Frequency Representations for Identifying Eye States. Adv. Data Sci. Adapt. Anal. 10(2): 1840006:1-1840006:13 (2018) - [j71]Alice Rueda, Sridhar Krishnan:
Clustering Parkinson's and Age-Related Voice Impairment Signal Features for Unsupervised Learning. Adv. Data Sci. Adapt. Anal. 10(2): 1840007:1-1840007:24 (2018) - [j70]Sridhar Krishnan, Yashodhan Rajiv Athavale:
Trends in biomedical signal feature extraction. Biomed. Signal Process. Control. 43: 41-63 (2018) - [j69]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Patient-specific seizure detection in long-term EEG using wavelet decomposition. Biomed. Signal Process. Control. 46: 157-165 (2018) - [j68]Yashodhan Rajiv Athavale, Sridhar Krishnan:
A Device-Independent Efficient Actigraphy Signal-Encoding System for Applications in Monitoring Daily Human Activities and Health. Sensors 18(9): 2966 (2018) - [j67]Fayez Qureshi, Sridhar Krishnan:
Wearable Hardware Design for the Internet of Medical Things (IoMT). Sensors 18(11): 3812 (2018) - [j66]Wenjun Yang, Sridhar Krishnan:
Sound event detection in real-life audio using joint spectral and temporal features. Signal Image Video Process. 12(7): 1345-1352 (2018) - 2017
- [j65]Feng Jin, Lakshmi Sugavaneswaran, Sridhar Krishnan, Vijay S. Chauhan:
Quantification of fragmented QRS complex using intrinsic time-scale decomposition. Biomed. Signal Process. Control. 31: 513-523 (2017) - [j64]Yashodhan Rajiv Athavale, Sridhar Krishnan:
Biosignal monitoring using wearables: Observations and opportunities. Biomed. Signal Process. Control. 38: 22-33 (2017) - [j63]Denis Delisle Rodríguez, Ana Cecilia Villa-Parra, Teodiano Freire Bastos-Filho, Alberto López Delis, Anselmo Frizera-Neto, Sridhar Krishnan, Eduardo Rocon:
Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing. Sensors 17(12): 2725 (2017) - [j62]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Hierarchical decomposition based on a variation of empirical mode decomposition. Signal Image Video Process. 11(5): 793-800 (2017) - [j61]Wenjun Yang, Sridhar Krishnan:
Combining Temporal Features by Local Binary Pattern for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1315-1321 (2017) - 2016
- [j60]Richard M. G. Tello, Sandra M. T. Muller, Muhammad A. Hasan, André Ferreira, Sridhar Krishnan, Teodiano F. Bastos:
An independent-BCI based on SSVEP using Figure-Ground Perception (FGP). Biomed. Signal Process. Control. 26: 69-79 (2016) - [j59]Karl Magtibay, Mohammadali Beheshti, Farbod Hosseyndoust Foomany, Stéphane Massé, Patrick F. H. Lai, Nima Zamiri, John Asta, Kumaraswamy Nanthakumar, David A. Jaffray, Sridhar Krishnan, Karthikeyan Umapathy:
Feature-based MRI data fusion for cardiac arrhythmia studies. Comput. Biol. Medicine 72: 13-21 (2016) - [j58]Muhammad A. Hasan, Vijay S. Chauhan, Sridhar Krishnan:
Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method. Comput. Biol. Medicine 77: 1-8 (2016) - [j57]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise. Digit. Signal Process. 48: 12-26 (2016) - [j56]Mehrnaz Shokrollahi, Sridhar Krishnan, Dustin D. Dopsa, Ryan T. Muir, Sandra E. Black, Richard H. Swartz, Brian J. Murray, Mark I. Boulos:
Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep. Medical Biol. Eng. Comput. 54(11): 1641-1654 (2016) - [j55]Mohammadreza Balouchestani, Sridhar Krishnan:
Advanced K-means clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach. Signal Image Video Process. 10(1): 113-120 (2016) - [j54]Mehrnaz Shokrollahi, Sridhar Krishnan:
Non-stationary signal feature characterization using adaptive dictionaries and non-negative matrix factorization. Signal Image Video Process. 10(6): 1025-1032 (2016) - [j53]Jeevan K. Pant, Sridhar Krishnan:
Compressive Sensing of Foot Gait Signals and Its Application for the Estimation of Clinically Relevant Time Series. IEEE Trans. Biomed. Eng. 63(7): 1401-1415 (2016) - 2015
- [j52]Mohammadreza Balouchestani, Sridhar Krishnan:
Robust compressive sensing algorithm for wireless surface electromyography applications. Biomed. Signal Process. Control. 20: 100-106 (2015) - [j51]M. Rasooli, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Nima Zamiri, Andrew Ramadeen, X. Hu, Paul Dorian, Kumaraswamy Nanthakumar, Sridhar Krishnan, Soosan Beheshti, Karthikeyan Umapathy:
Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation. Biomed. Signal Process. Control. 21: 26-33 (2015) - [j50]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low sampling rate algorithm for wireless ECG systems based on compressed sensing theory. Signal Image Video Process. 9(3): 527-533 (2015) - 2014
- [j49]Chen Lin, Wenqiang Chen, Cheng Qiu, Yunfeng Wu, Sridhar Krishnan, Quan Zou:
LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy. Neurocomputing 123: 424-435 (2014) - [j48]Guangyi Chen, Sridhar Krishnan, Tien D. Bui:
Ramanujan Sums for Image Pattern Analysis. Int. J. Wavelets Multiresolution Inf. Process. 12(1) (2014) - [j47]Mohammadreza Balouchestani, Sridhar Krishnan:
Effective Low-Power Wearable Wireless Surface EMG Sensor Design Based on Analog-Compressed Sensing. Sensors 14(12): 24305-24328 (2014) - [j46]Jeevan K. Pant, Sridhar Krishnan:
Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary Learning. IEEE Trans. Biomed. Circuits Syst. 8(2): 293-302 (2014) - 2013
- [j45]Suxian Cai, Shanshan Yang, Fang Zheng, Meng Lu, Yunfeng Wu, Sridhar Krishnan:
Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion. Comput. Math. Methods Medicine 2013: 904267:1-904267:11 (2013) - [j44]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
New channel model for wireless body area network with compressed sensing theory. IET Wirel. Sens. Syst. 3(2) (2013) - [j43]Shengkun Xie, Sridhar Krishnan:
Wavelet-based sparse functional linear model with applications to EEGs seizure detection and epilepsy diagnosis. Medical Biol. Eng. Comput. 51(1-2): 49-60 (2013) - [j42]Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51(7): 811-821 (2013) - [j41]Yaqing Niu, Matthew J. Kyan, Lin Ma, Azeddine Beghdadi, Sridhar Krishnan:
Visual saliency's modulatory effect on just noticeable distortion profile and its application in image watermarking. Signal Process. Image Commun. 28(8): 917-928 (2013) - [j40]Guangyi Chen, Sridhar Krishnan, Tien D. Bui:
Matrix-Based Ramanujan-Sums Transforms. IEEE Signal Process. Lett. 20(10): 941-944 (2013) - 2012
- [j39]Behnaz Ghoraani, Sridhar Krishnan:
Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. EURASIP J. Adv. Signal Process. 2012: 250 (2012) - [j38]Shahin Sanayei Lotfabadi, Andy Gean Ye, Sridhar Krishnan:
Measuring the power efficiency of subthreshold FPGAs for implementing portable biomedical applications. Microprocess. Microsystems 36(3): 151-158 (2012) - [j37]Shengkun Xie, Feng Jin, Sridhar Krishnan, Farook Sattar:
Signal feature extraction by multi-scale PCA and its application to respiratory sound classification. Medical Biol. Eng. Comput. 50(7): 759-768 (2012) - [j36]Lakshmi Sugavaneswaran, Shengkun Xie, Karthikeyan Umapathy, Sridhar Krishnan:
Time-Frequency Analysis via Ramanujan Sums. IEEE Signal Process. Lett. 19(6): 352-355 (2012) - 2011
- [j35]Shengkun Xie, Sridhar Krishnan:
Signal classification via multi-scale PCA and empirical classification methods. Int. J. Mechatronics Autom. 1(3/4): 213-223 (2011) - [j34]Yunfeng Wu, Sridhar Krishnan:
Combining least-squares support vector machines for classification of biomedical signals: a case study with knee-joint vibroarthrographic signals. J. Exp. Theor. Artif. Intell. 23(1): 63-77 (2011) - [j33]Yaqing Niu, Matthew J. Kyan, Sridhar Krishnan, Qin Zhang:
A combined just noticeable distortion model-guided image watermarking. Signal Image Video Process. 5(4): 517-526 (2011) - [j32]Behnaz Ghoraani, Sridhar Krishnan:
Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. IEEE Trans. Speech Audio Process. 19(7): 2197-2209 (2011) - [j31]Feng Jin, Sridhar Krishnan, Farook Sattar:
Adventitious Sounds Identification and Extraction Using Temporal-Spectral Dominance-Based Features. IEEE Trans. Biomed. Eng. 58(11): 3078-3087 (2011) - 2010
- [j30]Ouarda Nedjah, Ali M. Hussein, Sridhar Krishnan, Reza Sotudeh:
Comparative study of adaptive techniques for denoising CN Tower lightning current derivative signals. Digit. Signal Process. 20(2): 607-618 (2010) - [j29]Soosan Beheshti, Azadeh Fakhrzadeh, Sridhar Krishnan:
Noiseless Codelength in Wavelet Denoising. EURASIP J. Adv. Signal Process. 2010 (2010) - [j28]Ying Shen, Xiaoli Li, Ngok-Wah Ma, Sridhar Krishnan:
Parametric Time-Frequency Analysis and Its Applications in Music Classification. EURASIP J. Adv. Signal Process. 2010 (2010) - [j27]Karthikeyan Umapathy, Behnaz Ghoraani, Sridhar Krishnan:
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking. EURASIP J. Adv. Signal Process. 2010 (2010) - [j26]B. Jiao, Sridhar Krishnan, Adnan Kabbani:
FPGA implementation of adaptive segmentation for non-stationary biomedical signals. IET Circuits Devices Syst. 4(3): 239-250 (2010) - [j25]Yaqing Niu, Sridhar Krishnan, Qin Zhang:
Spatio-Temporal Just Noticeable Distortion Model Guided Video Watermarking. Int. J. Digit. Crime Forensics 2(4): 16-36 (2010) - [j24]Xiaoli Li, Sridhar Krishnan, Ngok-Wah Ma:
A wavelet-PCA-based fingerprinting scheme for peer-to-peer video file sharing. IEEE Trans. Inf. Forensics Secur. 5(3): 365-373 (2010) - 2009
- [j23]Julien Bonnel, April Khademi, Sridhar Krishnan, Cornel Ioana:
Small bowel image classification using cross-co-occurrence matrices on wavelet domain. Biomed. Signal Process. Control. 4(1): 7-15 (2009) - [j22]Behnaz Ghoraani, Sridhar Krishnan:
A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification. EURASIP J. Adv. Signal Process. 2009 (2009) - [j21]Yunfeng Wu, Sridhar Krishnan:
Computer-aided analysis of gait rhythm fluctuations in amyotrophic lateral sclerosis. Medical Biol. Eng. Comput. 47(11): 1165-1171 (2009) - [j20]Karthikeyan Umapathy, Stéphane Massé, Elias Sevaptsidis, John Asta, Sridhar Krishnan, Kumaraswamy Nanthakumar:
Spatiotemporal Frequency Analysis of Ventricular Fibrillation in Explanted Human Hearts. IEEE Trans. Biomed. Eng. 56(2): 328-335 (2009) - 2008
- [j19]Danoush Hosseinzadeh, Sridhar Krishnan:
On the Use of Complementary Spectral Features for Speaker Recognition. EURASIP J. Adv. Signal Process. 2008 (2008) - [j18]Danoush Hosseinzadeh, Sridhar Krishnan:
Gaussian Mixture Modeling of Keystroke Patterns for Biometric Applications. IEEE Trans. Syst. Man Cybern. Part C 38(6): 816-826 (2008) - 2007
- [j17]Karthikeyan Umapathy, Sridhar Krishnan:
Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform. EURASIP J. Audio Speech Music. Process. 2007 (2007) - [j16]Sridhar Krishnan, Serhat Erküçük:
Interference Excision in Spread Spectrum Communications Using Adaptive Positive Time-Frequency Analysis. EURASIP J. Wirel. Commun. Netw. 2007 (2007) - [j15]April Khademi, Sridhar Krishnan:
Shift-invariant discrete wavelet transform analysis for retinal image classification. Medical Biol. Eng. Comput. 45(12): 1211-1222 (2007) - [j14]Karthikeyan Umapathy, Sridhar Krishnan, R. K. Rao:
Audio Signal Feature Extraction and Classification Using Local Discriminant Bases. IEEE Trans. Speech Audio Process. 15(4): 1236-1246 (2007) - [j13]Karthikeyan Umapathy, Sridhar Krishnan:
Time-Width Versus Frequency Band Mapping of Energy Distributions. IEEE Trans. Signal Process. 55(3): 978-989 (2007) - 2006
- [j12]Lam Le, Sridhar Krishnan:
Time-Frequency Signal Synthesis and Its Application in Multimedia Watermark Detection. EURASIP J. Adv. Signal Process. 2006 (2006) - [j11]Xiaoli Li, Sridhar Krishnan, Ngok-Wah Ma:
Application of grammar-based codes for lossless compression of digital mammograms. J. Electronic Imaging 15(1): 013021 (2006) - [j10]Karthikeyan Umapathy, Sridhar Krishnan:
Modified local discriminant bases algorithm and its application in analysis of human knee joint vibration signals. IEEE Trans. Biomed. Eng. 53(3): 517-523 (2006) - [j9]Arunan Ramalingam, Sridhar Krishnan:
Gaussian Mixture Modeling of Short-Time Fourier Transform Features for Audio Fingerprinting. IEEE Trans. Inf. Forensics Secur. 1(4): 457-463 (2006) - [j8]Serhat Erküçük, Sridhar Krishnan, Mehmet Zeytinoglu:
A Robust Audio Watermark Representation Based on Linear Chirps. IEEE Trans. Multim. 8(5): 925-936 (2006) - 2005
- [j7]Sridhar Krishnan:
A New Approach for Estimation of Instantaneous Mean Frequency of a Time-Varying Signal. EURASIP J. Adv. Signal Process. 2005(17): 2848-2855 (2005) - [j6]Karthikeyan Umapathy, Sridhar Krishnan:
Feature analysis of pathological speech signals using local discriminant bases technique. Medical Biol. Eng. Comput. 43(4): 457-464 (2005) - [j5]Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, Donald G. Jamieson:
Discrimination of pathological voices using a time-frequency approach. IEEE Trans. Biomed. Eng. 52(3): 421-430 (2005) - [j4]Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa:
Multigroup classification of audio signals using time-frequency parameters. IEEE Trans. Multim. 7(2): 308-315 (2005) - 2001
- [j3]Rangaraj M. Rangayyan, Sridhar Krishnan:
Feature identification in the time-frequency plane by using the Hough-Radon transform. Pattern Recognit. 34(6): 1147-1158 (2001) - 2000
- [j2]Sridhar Krishnan, Rangaraj M. Rangayyan, Gordon Douglas Bell, Cyril B. Frank:
Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology. IEEE Trans. Biomed. Eng. 47(6): 773-783 (2000) - 1997
- [j1]Rangaraj M. Rangayyan, Sridhar Krishnan, G. Duncan Bell, Cyril B. Frank, Katherine O. Ladly:
Parametric representation and screening of knee joint vibroarthrographic signals. IEEE Trans. Biomed. Eng. 44(11): 1068-1074 (1997)
Conference and Workshop Papers
- 2024
- [c118]Michael Nigro, Binh P. Nguyen, Sridhar Krishnan:
Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes. MLSP 2024: 1-6 - 2023
- [c117]Abdelrahman Abdou, Niraj Mistry, Sridhar Krishnan:
3D Printed Dry Electrodes for Single-Lead Newborn ECG Monitoring. CinC 2023: 1-4 - [c116]Binh P. Nguyen, Andrei B. B. Torres, Alice Rueda, Walter Sim, Douglas M. Campbell, Wendy Lou, Bill Kapralos, Lindsay Beavers, Adam Dubrowski, Venkat Bhat, Sridhar Krishnan:
Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress. EMBC 2023: 1-4 - [c115]Binh P. Nguyen, Michael Nigro, Alice Rueda, Venkat Bhat, Sridhar Krishnan:
Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data. ICASSP 2023: 1-5 - [c114]Michael Nigro, Sridhar Krishnan:
SARdBScene: Dataset and Resnet Baseline for Audio Scene Source Counting and Analysis. ICASSP 2023: 1-5 - 2021
- [c113]Binh P. Nguyen, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan:
Clustering and Feature Analysis of Smartphone Data for Depression Monitoring. EMBC 2021: 113-116 - [c112]Binh P. Nguyen, Michael Nigro, Alice Rueda, Sharadha Kolappan, Venkat Bhat, Sridhar Krishnan:
Feature Analysis and Hierarchical Classification of Anxiety Severity during early COVID-19. EMBC 2021: 1678-1681 - [c111]Abdelrahman Abdou, Sridhar Krishnan:
ECG Dry-electrode 3D Printing and Signal Quality Considerations. EMBC 2021: 6855-6858 - 2020
- [c110]Syem Ishaque, Alice Rueda, Binh P. Nguyen, Naimul Mefraz Khan, Sridhar Krishnan:
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. EMBC 2020: 867-870 - [c109]Garima Sharma, Deepak Prasad, Karthikeyan Umapathy, Sridhar Krishnan:
Screening and analysis of specific language impairment in young children by analyzing the textures of speech signal. EMBC 2020: 964-967 - [c108]Yunier Prieur-Coloma, Denis Delisle Rodríguez, Leondry Mayeta-Revilla, Dharmendra Gurve, Ramón Amado Reinoso-Leblanch, Alberto López Delis, Teodiano F. Bastos, Sridhar Krishnan, Adson F. da Rocha:
Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton. EMBC 2020: 3848-3851 - [c107]Leticia Silva, Denis Delisle Rodríguez, Vivianne Cardoso, Dharmendra Gurve, Sridhar Krishnan, Teodiano Freire Bastos-Filho:
Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs. SMC 2020: 2014-2018 - [c106]Eisha Patel, Sridhar Krishnan:
Generating Stylistic Images by Extending Neural Style Transfer Method. SSIP 2020: 19-24 - 2019
- [c105]Shengkun Xie, Sridhar Krishnan:
Feature Extraction of Epileptic EEG using Wavelet Power Spectra and Functional PCA. EMBC 2019: 2551-2554 - [c104]Dharmendra Gurve, Denis Delisle Rodríguez, Teodiano F. Bastos, Sridhar Krishnan:
Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization. EMBC 2019: 3083-3086 - [c103]Alice Rueda, Sridhar Krishnan:
Augmenting Dysphonia Voice Using Fourier-based Synchrosqueezing Transform for a CNN Classifier. ICASSP 2019: 6415-6419 - [c102]Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth:
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH 2019: 3048-3052 - 2018
- [c101]Yashodhan Rajiv Athavale, Sridhar Krishnan, Afsaneh Raissi, Nardin Kirolos, Brian J. Murray, Mark I. Boulos:
Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep. EMBC 2018: 4436-4439 - [c100]Jeevan K. Pant, Sridhar Krishnan:
First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals. ICASSP 2018: 925-929 - [c99]Jeevan K. Pant, Sridhar Krishnan:
Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization. ISCAS 2018: 1-5 - 2017
- [c98]Jeevan K. Pant, Sridhar Krishnan:
Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals. EMBC 2017: 825-828 - [c97]Alice Rueda, Sridhar Krishnan:
Feature analysis of dysphonia speech for monitoring Parkinson's disease. EMBC 2017: 2308-2311 - [c96]Dharmendra Gurve, Jeevan K. Pant, Sridhar Krishnan:
Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA. EMBC 2017: 2794-2797 - [c95]Uzair Mayat, Fayez Qureshi, Saad Ahmed, Yashodhan Rajiv Athavale, Sridhar Krishnan:
Towards a low-cost point-of-care screening platform for electronic auscultation of vital body sounds. IHTC 2017: 1-5 - [c94]George K. Endo, Ibukun Oluwayomi, Victor Alexandra, Yashodhan Rajiv Athavale, Sridhar Krishnan:
Technology for continuous long-term monitoring of pregnant women for safe childbirth. IHTC 2017: 6-10 - [c93]Mariana Cardoso Melo, D. R. Macedo, Alcimar Barbosa Soares, Sridhar Krishnan:
Technological aspects of traumatic spinal cord injury rehabilitation. IHTC 2017: 11-15 - [c92]Amnyah Almahouzi, Toka Alnaser, Susanne Tiraci, Yashodhan Rajiv Athavale, Sridhar Krishnan:
An integrated biosignals wearable system for low-cost blood pressure monitoring. IHTC 2017: 16-20 - [c91]Sharadha Kolappan, Sridhar Krishnan, Brian J. Murray, Mark I. Boulos:
A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders. IHTC 2017: 105-108 - [c90]Jeevan K. Pant, Sridhar Krishnan:
Two-pass ℓp-regularized least-squares algorithm for compressive sensing. ISCAS 2017: 1-4 - 2016
- [c89]Timothy Liang, Mark I. Boulos, Brian J. Murray, Sridhar Krishnan, Hans Katzberg, Karthikeyan Umapathy:
Detection of myasthenia gravis using electrooculography signals. EMBC 2016: 896-899 - [c88]Saeed Pouryazdian, Andrew Chang, Dan J. Bosnyak, Laurel J. Trainor, Soosan Beheshti, Sridhar Krishnan:
Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach. EMBC 2016: 1603-1607 - [c87]Jeevan K. Pant, Sridhar Krishnan:
Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference. EMBC 2016: 3700-3703 - [c86]Jeevan K. Pant, Sridhar Krishnan:
Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection. EMBC 2016: 4731-4734 - [c85]Bo Wu, Sridhar Krishnan, Nan Zhang, Li Su:
Compact and robust video fingerprinting using sparse represented features. ICME 2016: 1-6 - 2015
- [c84]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. EMBC 2015: 113-116 - [c83]Richard M. G. Tello, Saeed Pouryazdian, André Ferreira, Soosan Beheshti, Sridhar Krishnan, Teodiano F. Bastos:
A new approach for SSVEP detection using PARAFAC and canonical correlation analysis. EMBC 2015: 6174-6177 - [c82]Guangyi Chen, Sridhar Krishnan:
Small bowel image classification using dual tree complex wavelet-based cross co-occurrence features and canonical discriminant analysis. ICACCI 2015: 2174-2179 - [c81]Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan:
Learning Dictionary Via Wavelet Sparse Principal Component Analysis. ICPRAM (1) 2015: 199-203 - 2014
- [c80]Mohammadreza Balouchestani, Lakshmi Sugavaneswaran, Sridhar Krishnan:
Advanced K-means clustering algorithm for large ECG data sets based on K-SVD approach. CSNDSP 2014: 177-182 - [c79]Lakshmi Sugavaneswaran, Mohammadreza Balouchestani, Karthikeyan Umapathy, Sridhar Krishnan:
Discriminative kernel learning in ambiguity domain. CSNDSP 2014: 261-265 - [c78]Mohammadreza Balouchestani, Sridhar Krishnan:
Fast clustering algorithm for large ECG data sets based on CS theory in combination with PCA and K-NN methods. EMBC 2014: 98-101 - [c77]Farbod Hosseyndoust Foomany, Mohammad T. H. Beheshti, Karl Magtibay, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Sridhar Krishnan, Kumaraswamy Nanthakumar, Karthikeyan Umapathy:
A novel approach to quantification of real and artifactual components of current density imaging for phantom and live heart. EMBC 2014: 1075-1078 - [c76]Karl Magtibay, Mohammad T. H. Beheshti, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Patrick F. Lai, John Asta, Nima Zamiri, David A. Jaffray, Kumaraswamy Nanthakumar, Sridhar Krishnan, Karthikeyan Umapathy:
Fusion of structural and functional cardiac magnetic resonance imaging data for studying Ventricular Fibrillation. EMBC 2014: 5579-5582 - [c75]Jeevan K. Pant, Sridhar Krishnan:
Foot gait time series estimation based on support vector machine. EMBC 2014: 6410-6413 - [c74]Jeevan K. Pant, Sridhar Krishnan:
Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences. ICASSP 2014: 4423-4427 - 2013
- [c73]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory. ANT/SEIT 2013: 206-213 - [c72]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory. ANT/SEIT 2013: 281-288 - [c71]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Increasing the reliability of wireless body area networks based on compressed sensing theory. CCECE 2013: 1-5 - [c70]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification. EMBC 2013: 965-968 - [c69]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. EMBC 2013: 4314-4317 - [c68]Mehrnaz Shokrollahi, Sridhar Krishnan:
Non-negative matrix factorization and sparse representation for sleep signal classification. EMBC 2013: 4318-4321 - [c67]Farbod Hosseyndoust Foomany, Mohammad T. H. Beheshti, Karl Magtibay, Stéphane Massé, W. Foltz, Elias Sevaptsidis, Patrick F. Lai, David A. Jaffray, Sridhar Krishnan, Kumaraswamy Nanthakumar, Karthikeyan Umapathy:
Analysis of reliability metrics and quality enhancement measures in current density imaging. EMBC 2013: 4394-4397 - [c66]Mohammadreza Balouchestani, Kaainran Raahemifar, Sridhar Krishnan:
A high reliability detection algorithm for wireless ECG systems based on compressed sensing theory. EMBC 2013: 4722-4725 - [c65]Jeevan K. Pant, Sridhar Krishnan:
Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient. ICASSP 2013: 993-997 - [c64]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
A variation of empirical mode decomposition with intelligent peak selection in short time windows. ICASSP 2013: 5627-5631 - [c63]Guangyi Chen, Sridhar Krishnan, Yongjia Zhao, Wenfang Xie:
Illumination Invariant Face Recognition. ICIC (1) 2013: 385-391 - [c62]Guangyi Chen, Sridhar Krishnan, Weihua Liu, Wenfang Xie:
Sparse Signal Analysis Using Ramanujan Sums. ICIC (2) 2013: 450-456 - [c61]Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan:
Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. ISNN (1) 2013: 273-282 - [c60]Guangyi Chen, Tien Dai Bui, Sridhar Krishnan, Shuling Dai:
Circular Projection for Pattern Recognition. ISNN (1) 2013: 429-436 - [c59]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
New sampling approach for wireless ECG systems with compressed sensing theory. MeMeA 2013: 213-218 - [c58]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
High - Resolution QRS detection algorithm for wireless ECG systems based on compressed sensing theory. MWSCAS 2013: 1326-1329 - 2012
- [c57]Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak:
Sparse principal component extraction and classification of long-term biomedical signals. CBMS 2012: 1-6 - [c56]Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak:
Analysis of communication network surveillance using functional ANOVA model with unequal variances. CISDA 2012: 1-6 - [c55]Mehrnaz Shokrollahi, Sridhar Krishnan:
Sleep EMG analysis using sparse signal representation and classification. EMBC 2012: 3480-3483 - [c54]Behnaz Ghoraani, Sridhar Krishnan, Vijay S. Chauhan:
Characterization of fractionated electrograms using a novel time-frequency based algorithm. EMBC 2012: 6361-6364 - [c53]Feng Jin, Farook Sattar, Sridhar Krishnan:
Log-frequency spectrogram for respiratory sound monitoring. ICASSP 2012: 597-600 - [c52]Shengkun Xie, Sridhar Krishnan:
Learning sparse dictionary for long-term biomedical signal classification and clustering. ISSPA 2012: 1118-1123 - [c51]Saeed Pouryazdian, Soosan Beheshti, Sridhar Sri Krishnan:
Minimum noiseless description length (MNDL) based regularization parameter selection. ISSPA 2012: 1341-1346 - [c50]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Low Power Wireless Body Area Networks with Compressed sensing theory. MWSCAS 2012: 916-919 - [c49]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Robust Wireless Sensor Networks with Compressed Sensing Theory. NDT (1) 2012: 608-619 - 2011
- [c48]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Audio scene analysis using parametric signal features. CCECE 2011: 922-925 - [c47]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Hardware-software analysis of pole model features. CCECE 2011: 1288-1291 - [c46]J. Jeyaratnam, Karthikeyan Umapathy, Stéphane Massé, Krishnakumar Nair, Talha Farid, Sridhar Krishnan, Kumaraswamy Nanthakumar:
Relating spatial heterogeneities to rotor formation in studying human ventricular fibrillation. EMBC 2011: 231-234 - [c45]E. Afatmirni, Kumaraswamy Nanthakumar, Stéphane Massé, Krishnakumar Nair, Talha Farid, Sridhar Krishnan, Paul Dorian, Karthikeyan Umapathy:
Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation. EMBC 2011: 251-254 - [c44]Lakshmi Sugavaneswaran, Karthikeyan Umapathy, Sridhar Krishnan:
Discriminative time-frequency kernels for gait analysis for amyotrophic lateral sclerosis. EMBC 2011: 2683-2686 - [c43]Mohd Zulfaezal Che Azemin, Dinesh K. Kumar, Lakshmi Sugavaneswaran, Sridhar Krishnan:
Supervised retinal biometrics in different lighting conditions. EMBC 2011: 3971-3974 - [c42]M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC 2011: 7095-7098 - [c41]Shengkun Xie, Feng Jin, Sridhar Krishnan:
Sparse approximation of long-term biomedical signals for classification via dynamic PCA. EMBC 2011: 7167-7170 - [c40]Yaqing Niu, Matthew J. Kyan, Lin Ma, Azeddine Beghdadi, Sridhar Krishnan:
A visual saliency modulated just noticeable distortion profile for image watermarking. EUSIPCO 2011: 2039-2043 - [c39]Feng Jin, Farook Sattar, Sridhar Krishnan:
Automatic respiratory sound classification using temporal-spectral dominance. ICME 2011: 1-4 - [c38]Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan:
Increasing the reliability of wireless sensor network with a new testing approach based on compressed sensing theory. WOCN 2011: 1-4 - 2010
- [c37]Behnaz Ghoraani, Sridhar Krishnan:
Discriminative base decomposition for time-frequency matrix decomposition. ICASSP 2010: 3674-3677 - [c36]Yaqing Niu, Jianbo Liu, Sridhar Krishnan, Qin Zhang:
Combined just noticeable difference model guided image watermarking. ICME 2010: 1679-1684 - [c35]Talieh Seyed Tabatabaei, Sridhar Krishnan, Alagan Anpalagan:
SVM-based classification of digital modulation signals. SMC 2010: 277-280 - [c34]Talieh Seyed Tabatabaei, Sridhar Krishnan:
Towards robust speech-based emotion recognition. SMC 2010: 608-611 - 2009
- [c33]Behnaz Ghoraani, Sridhar Krishnan, Raja J. Selvaraj, Vijay S. Chauhan:
Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis. DPS 2009: 1-5 - [c32]Yunfeng Wu, Sridhar Krishnan:
Classification of knee-joint vibroarthrographic signals using time-domain and time-frequency domain features and least-squares support vector machine. DPS 2009: 1-6 - [c31]April Khademi, Farhang Sahba, Anastasios N. Venetsanopoulos, Sridhar Krishnan:
Region, Lesion and Border-Based Multiresolution Analysis of Mammogram Lesions. ICIAR 2009: 802-813 - [c30]Yaqing Niu, Jianbo Liu, Sridhar Krishnan, Qin Zhang:
Spatio-temporal Just Noticeable Distortion Model Guided Video Watermarking. PCM 2009: 887-897 - [c29]Yashodhan Rajiv Athavale, Aziz Guergachi, Pouyan Hosseinizadeh, Sridhar Krishnan:
Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods. SMC 2009: 1073-1077 - 2008
- [c28]Ouarda Nedjah, Ali M. Hussein, Sridhar Krishnan, Reza Sotudeh:
CN Tower Lightning Current Derivative Heidler Model Analysis and Transmission. EMS 2008: 268-273 - [c27]Mathieu Parvaix, Sridhar Krishnan, Cornel Ioana:
An audio watermarking method based on molecular matching pursuit. ICASSP 2008: 1721-1724 - 2007
- [c26]Cornel Ioana, Arnaud Jarrot, André Quinquis, Sridhar Krishnan:
A Watermarking Method for Speech Signals Based on the Time-Warping Signal Processing Concept. ICASSP (2) 2007: 201-204 - [c25]Randa Zarifeh, Nandini Alinier, Sridhar Krishnan, Alagan Anpalagan:
Interference Detection in Spread Spectrum Communication Using Polynomial Phase Transform. ICC 2007: 2979-2984 - [c24]Talieh Seyed Tabatabaei, Sridhar Krishnan, Aziz Guergachi:
Emotion Recognition Using Novel Speech Signal Features. ISCAS 2007: 345-348 - [c23]Danoush Hosseinzadeh, Sridhar Krishnan:
Combining Vocal Source and MFCC Features for Enhanced Speaker Recognition Performance Using GMMs. MMSP 2007: 365-368 - [c22]Tahir Farooq, Aziz Guergachi, Sridhar Krishnan:
Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. SMC 2007: 373-378 - 2006
- [c21]Talieh Seyed Tabatabaei, Tahir Farooq, Aziz Guergachi, Sridhar Krishnan:
Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant. CCECE 2006: 318-322 - [c20]Mohammad Aram, Baice Li, Sridhar Krishnan, Alagan Anpalagan, Bern Grush:
Improving Position Estimates from a Stationary GNSS Receiver using Wavelets and Clustering. CCECE 2006: 758-762 - [c19]Jonathan Marchal, Cornel Ioana, Emanuel Radoi, André Quinquis, Sridhar Krishnan:
Soccer Video Retrival Using Adaptive Time-Frequency Methods. ICASSP (5) 2006: 509-512 - [c18]Danoush Hosseinzadeh, Sridhar Krishnan, April Khademi:
Keystroke Identification Based on Gaussian Mixture Models. ICASSP (3) 2006: 1144-1147 - [c17]Kambiz Jarrah, Matthew J. Kyan, Sridhar Sri Krishnan, Ling Guan:
Computational Intellegence Techniques and their Applications in Content-Based Image Retrieval. ICME 2006: 33-36 - [c16]Lam Le, Sridhar Krishnan, Behnaz Ghoraani:
Discrete Polynomial Transform for Digital Imagewatermarking Application. ICME 2006: 1569-1572 - [c15]Behnaz Ghoraani, Sridhar Krishnan:
Chirp-Based Image Watermarking as Error-Control Coding. IIH-MSP 2006: 647-650 - [c14]Kambiz Jarrah, Sridhar Krishnan, Ling Guan:
Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms. IJCNN 2006: 3532-3537 - 2005
- [c13]Libo Zhang, Heping Ding, Sridhar Krishnan:
Data embedding in μ-law speech with spread spectrum techniques. GLOBECOM 2005: 4 - [c12]Syed G. Quadri, Sridhar Krishnan, Ling Guan:
Indexing of NFL Video using MPEG-7 Descriptors and MFCC features. ICASSP (2) 2005: 429-432 - [c11]Karthikeyan Umapathy, Sridhar Krishnan:
A signal classification approach using time-width vs frequency band sub-energy distributions. ICASSP (5) 2005: 477-480 - [c10]Arunan Ramalingam, Sridhar Krishnan:
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting. ICME 2005: 1146-1149 - 2004
- [c9]Shahrzad Esmaili, Sridhar Krishnan, Kaamran Raahemifar:
Content based audio classification and retrieval using joint time-frequency analysis. ICASSP (5) 2004: 665-668 - [c8]Karthikeyan Umapathy, Sridhar Krishnan:
Modified local discriminant bases and its applications in signal classification [biomedical signal examples]. ICASSP (2) 2004: 745-748 - 2003
- [c7]Serhat Erküçük, Sridhar Krishnan, Mehmet Zeytinoglu:
Robust audio watermarking using a chirp based technique. ICME 2003: 513-516 - [c6]Serhat Erküçük, Sridhar Krishnan:
Time-frequency filtering of interferences in spread spectrum communications. ISSPA (2) 2003: 323-326 - 2002
- [c5]Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, Donald G. Jamieson:
Discrimination of pathological voices using an adaptive time-frequency approach. ICASSP 2002: 3852-3855 - [c4]Serhat Erküçük, Sridhar Krishnan:
Interference excision in spread spectrum communications using adaptive positive time-frequency distributions. ICASSP 2002: 4180 - [c3]Shynimol Thayilchira, Sridhar Krishnan:
Detection of linear chirp and non-linear chirp interferences in a spread spectrum signal by using Hough-Radon transform. ICASSP 2002: 4181 - [c2]Karthikeyan Umapathy, Sridhar Krishnan, Shihab Jimaa:
Audio signal classification using time-frequency parameters. ICME (2) 2002: 249-252 - 2001
- [c1]Sridhar Krishnan, Rangaraj M. Rangayyan, Karthikeyan Umapathy:
A time-frequency approach for auditory display of time-varying signals. SIP 2001: 236-241
Informal and Other Publications
- 2021
- [i1]Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Mefraz Khan:
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion. CoRR abs/2107.04566 (2021)
Coauthor Index
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