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ORCIDPavel Sovka
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2020 – today
- 2023
[c15]Martin Henych, Ondrej Mamula, Pavel Sovka, Premysl Sucha:
Machine Learning-Based Forecasting of the Automatic Frequency Restoration Reserve Demand. ISGT EUROPE 2023: 1-5- 2020
- [j10]Vojtech Illner
, Pavel Sovka, Jan Rusz:
Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson's disease. Biomed. Signal Process. Control. 58: 101831 (2020)
2010 – 2019
- 2018
- [c14]Martin Dlask, Jaromír Kukal, Pavel Sovka:
Fractional Brownian Bridge Model for Alzheimer Disease Detection from EEG Signal. ICSPIS 2018: 1-4 - 2014
- [j9]Radoslav Bortel, Pavel Sovka:
Approximation of the null distribution of the multiple coherence estimated with segment overlapping. Signal Process. 96: 310-314 (2014) - 2013
- [j8]Radoslav Bortel, Pavel Sovka:
Statistical evaluation of coherence estimated from optimally beamformed signals. Comput. Biol. Medicine 43(9): 1286-1292 (2013) - [j7]Tomás Boril, Pavel Sovka:
Autoregressive causal relation: Digital filtering approach to causality measures in frequency domain. Digit. Signal Process. 23(5): 1756-1766 (2013) - [c13]Pavel Masa, Pavel Sovka, Miroslav Vlcek, Radim Spetik:
Using ADZT for a signal reconstruction. ECCTD 2013: 1-4 - 2011
- [c12]Jirí Hospodka, Pavel Sovka, Bohumil Psenicka:
Design and realization of a filter bank by switched capacitor technique. ECCTD 2011: 753-756 - [c11]Tomás Boril, Pavel Sovka:
System interpretation of causality measures in frequency domain used in eeg analysis. EUSIPCO 2011: 1539-1543
2000 – 2009
- 2008
- [j6]Radoslav Bortel, Pavel Sovka:
Electrode Position Scaling in Realistic Laplacian Computation. IEEE Trans. Biomed. Eng. 55(9): 2314-2316 (2008) - 2007
- [j5]Jakub Stastný, Pavel Sovka:
High-Resolution Movement EEG Classification. Comput. Intell. Neurosci. 2007 (2007) - [j4]Jakub Stastný, Pavel Sovka:
The 3D surface Laplacian filtration with integrated sampling error compensation. Signal Process. 87(1): 51-60 (2007) - [j3]Radoslav Bortel, Pavel Sovka:
Approximation of statistical distribution of magnitude squared coherence estimated with segment overlapping. Signal Process. 87(5): 1100-1117 (2007) - [j2]Radoslav Bortel, Pavel Sovka:
Regularization Techniques in Realistic Laplacian Computation. IEEE Trans. Biomed. Eng. 54(11): 1993-1999 (2007) - 2006
- [j1]Radoslav Bortel, Pavel Sovka:
EEG-EMG coherence enhancement. Signal Process. 86(7): 1737-1751 (2006) - 2004
- [c10]Roman Cmejla, Pavel Sovka:
Recursive Bayesian autoregressive changepoint detector for sequential signal segmentation. EUSIPCO 2004: 245-248 - 2001
- [c9]Jiri Tihelka, Pavel Sovka:
Implementation effective one-channel noise reduction system. INTERSPEECH 2001: 1863-1866 - [c8]Roman Cmejla, Pavel Sovka:
Estimation of Boundaries between Speech Units Using Bayesian Changepoint Detectors. TSD 2001: 291-298
1990 – 1999
- 1999
- [c7]Petr Pollák, Josef Vopièka, Pavel Sovka:
Czech language database of car speech and environmental noise. EUROSPEECH 1999 - [c6]Milan Svoboda, Pavel Sovka, Petr Pollák:
Combined noise suppression system for monaural cochlear implants. EUROSPEECH 1999: 2635-2638 - [c5]Roman Cmejla, Pavel Sovka:
The Use of Bayesian Detector in Signal Processing. SIP 1999: 76-80 - 1996
- [c4]Pavel Sovka, Petr Pollák, Jan Kybic:
Extended spectral subtraction. EUSIPCO 1996: 1-4 - 1995
- [c3]Vratislav Davidek, Pavel Sovka, Jiri Sika:
Real-time implementation of spectral subtraction algorithm for suppression of acoustic noise in speech. EUROSPEECH 1995: 141-144 - [c2]Pavel Sovka, Petr Pollák:
The study of speech/pause detectors for speech enhancement methods. EUROSPEECH 1995: 1575-1578 - 1993
- [c1]Petr Pollák, Pavel Sovka, Jan Uhlír:
Noise suppression system for a car. EUROSPEECH 1993: 1073-1076
Coauthor Index
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