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Yariv Ephraim
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2020 – today
- 2023
- [j39]Hanoch Lev-Ari, Yariv Ephraim, Brian L. Mark:
Traffic rate network tomography with higher-order cumulants. Networks 81(2): 220-234 (2023) - 2022
- [c39]Yariv Ephraim, Joshua Coblenz, Brian L. Mark, Hanoch Lev-Ari:
Traffic Rate Network Tomography via Moment Generating Function Matching. CISS 2022: 148-153 - [c38]Massieh Kordi Boroujeny, Brian L. Mark, Yariv Ephraim:
Traffic Workload Envelope for Network Performance Guarantees with Multiplexing Gain. GLOBECOM 2022: 6325-6330 - 2021
- [c37]Yariv Ephraim, Joshua Coblenz, Brian L. Mark, Hanoch Lev-Ari:
Mixed Poisson Traffic Rate Network Tomography. CISS 2021: 1-6 - [c36]Hanke Cheng, Brian L. Mark, Yariv Ephraim, Chun-Hung Chen:
Multiband Spectrum Sensing with Non-exponential Channel Occupancy Times. ICC 2021: 1-6 - 2020
- [c35]Massieh Kordi Boroujeny, Brian L. Mark, Yariv Ephraim:
Fitting Network Traffic to Phase-Type Bounds. CISS 2020: 1-6 - [c34]Massieh Kordi Boroujeny, Brian L. Mark, Yariv Ephraim:
Stochastic Traffic Regulator for End-to-End Network Delay Guarantees. ICC 2020: 1-6 - [c33]Hanke Cheng, Joseph M. Bruno, Brian L. Mark, Yariv Ephraim, Chun-Hung Chen:
Multiband Parameter Estimation for Spectrum Sensing from Noisy Measurements. ICC 2020: 1-6 - [i2]Hanoch Lev-Ari, Yariv Ephraim, Brian L. Mark:
Traffic Rate Network Tomography with Higher-Order Cumulants. CoRR abs/2012.07224 (2020)
2010 – 2019
- 2019
- [c32]Massieh Kordi Boroujeny, Brian L. Mark, Yariv Ephraim:
Tail-Limited Phase-Type Burstiness Bounds for Network Traffic. CISS 2019: 1-6 - [c31]Hanke Cheng, Brian L. Mark, Yariv Ephraim:
Wideband Temporal Spectrum Sensing Using Cepstral Features. WOWMOM 2019: 1-6 - 2018
- [c30]Massieh Kordi Boroujeny, Yariv Ephraim, Brian L. Mark:
Phase-type bounds on network performance. CISS 2018: 1-6 - 2017
- [j38]Neshat Etemadi Rad, Yariv Ephraim, Brian L. Mark:
Delay Network Tomography Using a Partially Observable Bivariate Markov Chain. IEEE/ACM Trans. Netw. 25(1): 126-138 (2017) - [c29]Joseph M. Bruno, Brian L. Mark, Yariv Ephraim, Chun-Hung Chen:
A Computing Budget Allocation Approach to Multiband Spectrum Sensing. WCNC 2017: 1-6 - 2016
- [j37]Yuandao Sun, Brian L. Mark, Yariv Ephraim:
Collaborative Spectrum Sensing via Online Estimation of Hidden Bivariate Markov Models. IEEE Trans. Wirel. Commun. 15(8): 5430-5439 (2016) - 2015
- [j36]Yariv Ephraim, Brian L. Mark:
Causal Recursive Parameter Estimation for Discrete-Time Hidden Bivariate Markov Chains. IEEE Trans. Signal Process. 63(8): 2108-2117 (2015) - [j35]Yuandao Sun, Brian L. Mark, Yariv Ephraim:
Online Parameter Estimation for Temporal Spectrum Sensing. IEEE Trans. Wirel. Commun. 14(8): 4105-4114 (2015) - [c28]Yuandao Sun, Brian L. Mark, Yariv Ephraim:
Collaborative Spectrum Sensing Based on Hidden Bivariate Markov Models. GLOBECOM Workshops 2015: 1-6 - 2014
- [j34]Brian L. Mark, Yariv Ephraim:
Explicit Causal Recursive Estimators for Continuous-Time Bivariate Markov Chains. IEEE Trans. Signal Process. 62(10): 2709-2718 (2014) - 2013
- [j33]Brian L. Mark, Yariv Ephraim:
An EM algorithm for continuous-time bivariate Markov chains. Comput. Stat. Data Anal. 57(1): 504-517 (2013) - [j32]Yariv Ephraim, Brian L. Mark:
Bivariate Markov Processes and Their Estimation. Found. Trends Signal Process. 6(1): 1-95 (2013) - [j31]Thao Nguyen, Brian L. Mark, Yariv Ephraim:
Spectrum Sensing Using a Hidden Bivariate Markov Model. IEEE Trans. Wirel. Commun. 12(9): 4582-4591 (2013) - 2012
- [c27]Yariv Ephraim, Brian L. Mark:
On forward recursive estimation for bivariate Markov chains. CISS 2012: 1-6 - 2011
- [c26]Brian L. Mark, Yariv Ephraim:
On modeling network congestion using continuous-time bivariate Markov chains. CISS 2011: 1-6 - [c25]Thao Nguyen, Brian L. Mark, Yariv Ephraim:
Hidden Markov process based dynamic spectrum access for cognitive radio. CISS 2011: 1-6 - [i1]Brian L. Mark, Yariv Ephraim:
An EM Algorithm for Continuous-time Bivariate Markov Chains. CoRR abs/1107.2446 (2011) - 2010
- [j30]Yariv Ephraim, Michael Tinston:
Iterative Schur Complement and Multistage Wiener Filtering. SIAM J. Matrix Anal. Appl. 31(4): 2222-2238 (2010)
2000 – 2009
- 2009
- [j29]Yariv Ephraim, William J. J. Roberts:
An EM Algorithm for Markov Modulated Markov Processes. IEEE Trans. Signal Process. 57(2): 463-470 (2009) - [c24]Michael Tinston, Yariv Ephraim:
Speech enhancement using the multistage Wiener filter. CISS 2009: 55-60 - 2008
- [j28]William J. J. Roberts, Yariv Ephraim:
An EM Algorithm for Ion-Channel Current Estimation. IEEE Trans. Signal Process. 56(1): 26-33 (2008) - 2007
- [c23]Michael Tinston, Yariv Ephraim:
Subspace Sequence Estimation. CISS 2007: 57-62 - 2006
- [j27]William J. J. Roberts, Yariv Ephraim, Elvis Dieguez:
On Ryde'n's EM algorithm for estimating MMPPs. IEEE Signal Process. Lett. 13(6): 373-376 (2006) - 2005
- [j26]Yariv Ephraim, William J. J. Roberts:
Revisiting autoregressive hidden Markov modeling of speech signals. IEEE Signal Process. Lett. 12(2): 166-169 (2005) - [j25]Yariv Ephraim, William J. J. Roberts:
On Second-Order Statistics of Log-Periodogram With Correlated Components. IEEE Signal Process. Lett. 12(9): 625-628 (2005) - [j24]William J. J. Roberts, Yariv Ephraim, Howard W. Sabrin:
Speaker classification using composite hypothesis testing and list decoding. IEEE Trans. Speech Audio Process. 13(2): 211-219 (2005) - 2003
- [j23]Hanoch Lev-Ari, Yariv Ephraim:
Extension of the signal subspace speech enhancement approach to colored noise. IEEE Signal Process. Lett. 10(4): 104-106 (2003) - 2002
- [j22]Yariv Ephraim, Neri Merhav:
Hidden Markov processes. IEEE Trans. Inf. Theory 48(6): 1518-1569 (2002) - [c22]William J. J. Roberts, Yariv Ephraim:
On application of the Faragó-Lugosi algorithm in speech recognition. ICASSP 2002: 941-944 - 2001
- [j21]Yariv Ephraim, William J. J. Roberts:
On preprocessing for mismatched classification of Gaussian signals. IEEE Trans. Inf. Theory 47(3): 1251-1256 (2001) - 2000
- [j20]William J. J. Roberts, Yariv Ephraim:
Hidden Markov modeling of speech using Toeplitz covariance matrices. Speech Commun. 31(1): 1-14 (2000) - [j19]Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees:
A Bayesian approach to robust adaptive beamforming. IEEE Trans. Signal Process. 48(2): 386-398 (2000)
1990 – 1999
- 1999
- [j18]Yariv Ephraim, Mazin Rahim:
On second-order statistics and linear estimation of cepstral coefficients. IEEE Trans. Speech Audio Process. 7(2): 162-176 (1999) - 1998
- [j17]Yariv Ephraim, Neri Merhav, Harry L. Van Trees:
Authors' reply to "Comments on 'Min-Norm interpretations and consistency of MUSIC, MODE, and ML'". IEEE Trans. Signal Process. 46(11): 3104 (1998) - [c21]Yariv Ephraim, Mazin G. Rahim:
On second order statistics and linear estimation of cepstral coefficients. ICASSP 1998: 965-968 - [c20]William J. J. Roberts, Yariv Ephraim:
Robust speech recognition using HMM's with toeplitz state covariance matrices. ICSLP 1998 - 1997
- [j16]Kristine L. Bell, Yossef Steinberg, Yariv Ephraim, Harry L. Van Trees:
Extended Ziv-Zakai lower bound for vector parameter estimation. IEEE Trans. Inf. Theory 43(2): 624-637 (1997) - [c19]Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees:
Robust adaptive beamforming using data dependent constraints. ICASSP 1997: 3513-3516 - 1996
- [j15]Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees:
Explicit Ziv-Zakai lower bound for bearing estimation. IEEE Trans. Signal Process. 44(11): 2810-2824 (1996) - [c18]Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees:
Explicit Ziv-Zakai lower bound for bearing estimation. ICASSP 1996: 2852-2855 - 1995
- [j14]Yariv Ephraim, Harry L. Van Trees:
A signal subspace approach for speech enhancement. IEEE Trans. Speech Audio Process. 3(4): 251-266 (1995) - [j13]Yariv Ephraim, Neri Merhav, Harry L. Van Trees:
Min-norm interpretations and consistency of MUSIC, MODE and ML. IEEE Trans. Signal Process. 43(12): 2937-2942 (1995) - [c17]Yariv Ephraim, Harry L. Van Trees:
A spectrally-based signal subspace approach for speech enhancement. ICASSP 1995: 804-807 - [c16]Kristine L. Bell, Yariv Ephraim, Harry L. Van Trees:
Ziv-Zakai lower bounds in bearing estimation. ICASSP 1995: 1649-1652 - 1993
- [c15]Yariv Ephraim, Harry L. Van Trees:
A signal subspace approach for speech enhancement. ICASSP (2) 1993: 355-358 - 1992
- [j12]Yariv Ephraim:
Statistical-model-based speech enhancement systems. Proc. IEEE 80(10): 1526-1555 (1992) - [j11]Yariv Ephraim, Neri Merhav:
Lower and upper bounds on the minimum mean-square error in composite source signal estimation. IEEE Trans. Inf. Theory 38(6): 1709-1724 (1992) - [j10]Yariv Ephraim:
A Bayesian estimation approach for speech enhancement using hidden Markov models. IEEE Trans. Signal Process. 40(4): 725-735 (1992) - [j9]Yariv Ephraim:
Gain-adapted hidden Markov models for recognition of clean and noisy speech. IEEE Trans. Signal Process. 40(6): 1303-1316 (1992) - [c14]Yariv Ephraim:
Speech enhancement using state dependent dynamical system model. ICASSP 1992: 289-292 - 1991
- [j8]Neri Merhav, Yariv Ephraim:
Maximum likelihood hidden Markov modeling using a dominant sequence of states. IEEE Trans. Signal Process. 39(9): 2111-2115 (1991) - [j7]Neri Merhav, Yariv Ephraim:
A Bayesian classification approach with application to speech recognition. IEEE Trans. Signal Process. 39(10): 2157-2166 (1991) - [c13]Neri Merhav, Yariv Ephraim:
Hidden Markov modeling using the most likely state sequence. ICASSP 1991: 469-472 - [c12]Neri Merhav, Yariv Ephraim:
A Bayesian classification approach with application to speech recognition. ICASSP 1991: 529-532 - [c11]Yariv Ephraim:
On minimum mean square error speech enhancement. ICASSP 1991: 997-1000 - 1990
- [j6]Yariv Ephraim, Lawrence R. Rabiner:
On the relations between modeling approaches for speech recognition. IEEE Trans. Inf. Theory 36(2): 372-380 (1990) - [c10]Andrej Ljolje, Yariv Ephraim, Lawrence R. Rabiner:
Estimation of hidden Markov model parameters by minimizing empirical error rate. ICASSP 1990: 709-712 - [c9]Yariv Ephraim:
A minimum mean square error approach for speech enhancement. ICASSP 1990: 829-832
1980 – 1989
- 1989
- [j5]Yariv Ephraim, Amir Dembo, Lawrence R. Rabiner:
A minimum discrimination information approach for hidden Markov modeling. IEEE Trans. Inf. Theory 35(5): 1001-1013 (1989) - [j4]Yariv Ephraim, David Malah, Biing-Hwang Juang:
On the application of hidden Markov models for enhancing noisy speech. IEEE Trans. Acoust. Speech Signal Process. 37(12): 1846-1856 (1989) - [c8]Yariv Ephraim, David Malah, Biing-Hwang Juang:
Speech enhancement based upon hidden Markov modeling. ICASSP 1989: 353-356 - [c7]António Joaquim Serralheiro, Yariv Ephraim, Lawrence R. Rabiner:
On nonstationary hidden Markov modeling of speech signals. EUROSPEECH 1989: 1159-1162 - 1988
- [j3]Yariv Ephraim, Robert M. Gray:
A unified approach for encoding clean and noisy sources by means of waveform and autoregressive model vector quantization. IEEE Trans. Inf. Theory 34(4): 826-834 (1988) - [j2]Yariv Ephraim, Hanoch Lev-Ari, Robert M. Gray:
Asymptotic minimum discrimination information measure for asymptotically weakly stationary processes. IEEE Trans. Inf. Theory 34(5): 1033-1040 (1988) - [c6]Yariv Ephraim, Lawrence R. Rabiner:
On the relations between modeling approaches for information sources [speech recognition]. ICASSP 1988: 24-27 - [c5]Yariv Ephraim, David Malah, Biing-Hwang Juang:
On the application of hidden Markov models for enhancing noisy speech. ICASSP 1988: 533-536 - 1987
- [c4]Yariv Ephraim, Amir Dembo, Lawrence R. Rabiner:
A minimum discrimination information approach for hidden Markov modeling. ICASSP 1987: 25-28 - [c3]Yariv Ephraim, Jay G. Wilpon, Lawrence R. Rabiner:
A linear predictive front-end processor for speech recognition in noisy environments. ICASSP 1987: 1324-1327 - 1985
- [j1]Yariv Ephraim, David Malah:
Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. 33(2): 443-445 (1985) - 1984
- [c2]Yariv Ephraim, David Malah:
On the Estimation of the Short-Time Phase in Speech Enhancement Systems. ICC (3) 1984: 1488-1491 - 1983
- [c1]Yariv Ephraim, David Malah:
Speech enhancement using optimal non-linear spectral amplitude estimation. ICASSP 1983: 1118-1121
Coauthor Index
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