Adaptive multi-channel least mean square and Newton algorithms for blind channel identification
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
With the MCLMS algorithm, the channel estimate can converge in mean to the true impulse responses (up to a scale and common delay).
“It was shown that with this MCLMS algorithm the channel estimate can converge in mean to the true impulse responses (up to a scale and common delay).”
From Time Delay Estimation in Room Acoustic Environments: An Overview (2006) · cites this paper as [60]
Cites
Haykin, S. (1986) · Cited by 12,603 · see citing works
Rogers, S. (1996) · Control Engineering Practice · doi:10.1016/0967-0661(96)82838-3 · Cited by 10,013 · see citing works
Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems
Godard, D. (1980) · IRE Transactions on Communications Systems · doi:10.1109/tcom.1980.1094608 · Cited by 2,534 · see citing works
Subspace methods for the blind identification of multichannel FIR filters
Moulines, É., Duhamel, P., Cardoso, J.-F., & Mayrargue, S. (1995) · IEEE Transactions on Signal Processing · doi:10.1109/78.348133 · Cited by 1,502 · see citing works
A new approach to multipath correction of constant modulus signals
Treichler, J. R., & Agee, B. G. (1983) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1983.1164062 · Cited by 1,259 · see citing works
A Method of Self-Recovering Equalization for Multilevel Amplitude-Modulation Systems
Sato, Y. (1975) · IRE Transactions on Communications Systems · doi:10.1109/tcom.1975.1092854 · Cited by 863 · see citing works
A least-squares approach to blind channel identification
Xu, G., Liu, H., Tong, L., & Kailath, T. (1995) · IEEE Transactions on Signal Processing · doi:10.1109/78.476442 · Cited by 777 · see citing works
Multichannel blind identification: from subspace to maximum likelihood methods
Tong, L., & Perreau, S. (1998) · Proceedings of the IEEE · doi:10.1109/5.720247 · Cited by 572 · see citing works
Benveniste, A., & Goursat, M. (1984) · IRE Transactions on Communications Systems · doi:10.1109/tcom.1984.1096163 · Cited by 443 · see citing works
A new approach to blind identification and equalization of multipath channels
Tong, L., Xu, G., & Kailath, T. (2002) · Asilomar Conference on Signals, Systems & Computers (ACSSC) · doi:10.1109/acssc.1991.186568 · Cited by 439 · see citing works
Slock, D. T. M. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1994.389749 · Cited by 399 · see citing works
Fast maximum likelihood for blind identification of multiple FIR channels
Hua, Y. (1996) · IEEE Transactions on Signal Processing · doi:10.1109/78.489039 · Cited by 306 · see citing works
On the evaluation of estimated impulse responses
Morgan, D. R., Benesty, J., & Sondhi, M. M. (1998) · IEEE Signal Processing Letters · doi:10.1109/97.700920 · Cited by 162 · see citing works
Self-citationA deterministic approach to blind equalization
Liu, H., Xu, G., & Tong, L. (2002) · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · doi:10.1109/acssc.1993.342621 · Cited by 77 · see citing works
Adaptive eigenvalue decomposition algorithm for real time acoustic source localization system
Huang, Y., Benesty, J., & Elko, G. W. (1999) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1999.759826 · Cited by 74 · see citing works
Self-citationAdaptive blind channel estimation by least squares smoothing
Zhao, Q. Q., & Tong, L. (1999) · IEEE Transactions on Signal Processing · doi:10.1109/78.796435 · Cited by 54 · see citing works
A least squares component normalization approach to blind channel identification
Avendaño, C., Benesty, J., & Morgan, D. R. (1999) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1999.758269 · Cited by 25 · see citing works
Self-citationDong, G., & Liu, R. (1998) · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · doi:10.1109/81.660748 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Time Delay Estimation in Room Acoustic Environments: An Overview
Chen, J., Benesty, J., & Huang, Y. (2006) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/asp/2006/26503 · Cited by 370 · see citing works
Self-citationA class of frequency-domain adaptive approaches to blind multichannel identification
Huang, Y., & Benesty, J. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2002.806559 · Cited by 199 · see citing works
Self-citationA Semi-Blind Channel Estimation Method for Multiuser Multiantenna OFDM Systems
Zeng, Y., & Ng, S. T. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.826183 · Cited by 127 · see citing works
Huang, Y. A., Benesty, J., & Chen, J. (2005) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/tsa.2005.851941 · Cited by 105 · see citing works
Self-citationDoclo, S., & Moonen, M. (2003) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/s111086570330602x · Cited by 96 · see citing works
Leak location using blind system identification in water distribution pipelines
Yang, J., Wen, Y., & Li, P. (2007) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2007.07.067 · Cited by 53 · see citing works
Identification of acoustic MIMO systems: Challenges and opportunities
Huang, Y. A., Benesty, J., & Chen, J. (2005) · Signal Processing · doi:10.1016/j.sigpro.2005.06.023 · Cited by 51 · see citing works
Self-citationChen, J., Huang, Y. A., & Benesty, J. (2004) · Springer eBooks · doi:10.1007/1-4020-7769-6_8 · Cited by 49 · see citing works
Self-citationOptimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification
Huang, Y. A., Benesty, J., & Chen, J. (2005) · IEEE Signal Processing Letters · doi:10.1109/lsp.2004.842286 · Cited by 42 · see citing works
Self-citationBlind System Identification Using Sparse Learning for TDOA Estimation of Room Reflections
Kowalczyk, K., Habets, E. A. P., Kellermann, W., & Naylor, P. A. (2013) · IEEE Signal Processing Letters · doi:10.1109/lsp.2013.2261059 · Cited by 40 · see citing works
Time Delay Estimation and Source Localization
Huang, Y. A., Benesty, J., & Chen, J. (2007) · Springer handbooks · doi:10.1007/978-3-540-49127-9_51 · Cited by 38 · see citing works
Self-citationRobust Multichannel Dereverberation using Relaxed Multichannel Least Squares
Lim, F. S. C., Zhang, W., Habets, E. A. P., & Naylor, P. A. (2014) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2014.2329632 · Cited by 36 · see citing works
Improving Robustness Of Blind Adaptive Multichannel Identification Algorithms Using Constraints
Hasan, M. K., Benesty, J., Naylor, P. A., & Ward, D. B. (2005) · doi:10.5281/zenodo.38825 · Cited by 35 · see citing works
Self-citationBayesian inference model for applications of time-varying acoustic system identification
Enzner, G. (2010) · European Signal Processing Conference (EUSIPCO) · Cited by 34 · see citing works
Huang, Y., & Benesty, J. (2003) · Signals and Communication Technology · doi:10.1007/978-3-662-11028-7_8 · Cited by 31 · see citing works
Self-citationRobust Design of Adaptive Equalizers
Rupp, M. (2011) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2011.2180717 · Cited by 25 · see citing works
Wang, L., Odani, K., & Kai, A. (2012) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/1687-6180-2012-12 · Cited by 24 · see citing works
Li, Y., Zheng, L., Liang, Y., & Yu, Y. (2020) · Journal of Vibration and Control · doi:10.1177/1077546320909985 · Cited by 24 · see citing works
Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition
Neo, V. W., Evers, C., & Naylor, P. A. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3120630 · Cited by 23 · see citing works
Generalized Optimal Step-Size for Blind Multichannel LMS System Identification
Gaubitch, N. D., Hasan, M. K., & Naylor, P. A. (2006) · IEEE Signal Processing Letters · doi:10.1109/lsp.2006.876341 · Cited by 23 · see citing works
Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS Algorithm
Wang, L., Kitaoka, N., & Nakagawa, S. (2011) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e94.d.659 · Cited by 21 · see citing works
Hasan, M. K., & Naylor, P. A. (2006) · Cited by 20 · see citing works
Yang, J., Wen, Y., & Li, P. (2007) · Measurement Science and Technology · doi:10.1088/0957-0233/18/7/049 · Cited by 19 · see citing works
Cross-Relation-Based Blind SIMO Identifiability in the Presence of Near-Common Zeros and Noise
Schmid, D., & Enzner, G. (2011) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2011.2169410 · Cited by 18 · see citing works
Two-stage blind identification of SIMO systems with common zeros
Lin, X. Q., Gaubitch, N. D., & Naylor, P. A. (2006) · Cited by 18 · see citing works
Energy constrained frequency-domain normalized LMS algorithm for blind channel identification
Haque, M. A., Bashar, M. S. A., Naylor, P. A., Hirose, K., & Hasan, M. K. (2007) · Signal Image and Video Processing · doi:10.1007/s11760-007-0011-x · Cited by 17 · see citing works
López-Pacheco, M. G., Fernández, L. P. S., & Molina-Lozano, H. (2013) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2013.08.085 · Cited by 16 · see citing works
Habets, E. A. P., & Naylor, P. A. (2018) · doi:10.1002/9781119279860.ch15 · Cited by 16 · see citing works
Selective-Tap Blind Dereverberation for Two-Microphone Enhancement of Reverberant Speech
Kokkinakis, K., & Loizou, P. C. (2009) · IEEE Signal Processing Letters · doi:10.1109/lsp.2009.2027658 · Cited by 15 · see citing works
Zhang, Z., Wang, L., & Kai, A. (2014) · EURASIP Journal on Audio Speech and Music Processing · doi:10.1186/1687-4722-2014-15 · Cited by 14 · see citing works
Adaptive filters: stable but divergent
Rupp, M. (2015) · EURASIP Journal on Advances in Signal Processing · doi:10.1186/s13634-015-0289-8 · Cited by 13 · see citing works
Adaptive Common Root Estimation And The Common Zeros Problem In Blind Channel Identification
Gaubitch, N. D., Benesty, J., & Naylor, P. A. (2005) · doi:10.5281/zenodo.39102 · Cited by 13 · see citing works
Self-citationAn Extended Normalized Multichannel Flms Algorithm For Blind Channel Identification
Ahmad, R., Hasan, M. K., Khong, A. W. H., & Naylor, P. A. (2006) · doi:10.5281/zenodo.39763 · Cited by 13 · see citing works
On a Class of Exponentiated Adaptive Algorithms for the Identification of Sparse Impulse Responses
Benesty, J., Huang, Y. A., & Morgan, D. R. (2003) · Signals and communication technology · doi:10.1007/978-3-662-11028-7_1 · Cited by 13 · see citing works
Self-citationA neural networks learning algorithm for minor component analysis and its convergence analysis
Peng, D., Zhang, Y., Lv, J., & Xiang, Y. (2008) · Neurocomputing · doi:10.1016/j.neucom.2007.11.012 · Cited by 12 · see citing works
Speaker change detection and speaker diarization using spatial information
Hu, M., Sharma, D., Doclo, S., Brookes, M., & Naylor, P. A. (2015) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2015.7179072 · Cited by 11 · see citing works
Noise Robust Adaptive Blind Channel Identification Using Spectral Constraints
Gaubitch, N. D., Hasan, M. K., & Naylor, P. A. (2006) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2006.1661220 · Cited by 11 · see citing works
Bharadwaj, P., Laurent Demanet, A., & Fournier, A. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2908911 · Cited by 11 · see citing works
An online quasi-Newton algorithm for blind SIMO identification
Habets, E. A. P., & Naylor, P. A. (2010) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2010.5496248 · Cited by 11 · see citing works
Haque, M. A., & Hasan, M. K. (2007) · IET Signal Processing · doi:10.1049/iet-spr:20070022 · Cited by 11 · see citing works
An exponentiated gradient adaptive algorithm for blind identification of sparse SIMO systems
Benesty, J., Huang, Y. A., & Chen, J. (2004) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2004.1326386 · Cited by 10 · see citing works
Self-citationBlind multichannel identification based on Kalman filter and eigenvalue decomposition
Mei, T. (2018) · International Journal of Speech Technology · doi:10.1007/s10772-018-09562-w · Cited by 9 · see citing works
Adaptive Blind Multichannel Identification
Huang, Y. A., Benesty, J., & Chen, J. (2007) · Springer handbooks · doi:10.1007/978-3-540-49127-9_13 · Cited by 8 · see citing works
Self-citationCho, J.-W., & Park, H. (2009) · IEEE Signal Processing Letters · doi:10.1109/lsp.2008.2012222 · Cited by 8 · see citing works
Non-cooperative MPSK Modulation Identification in SIMO Underwater Acoustic Multipath Channel
Fang, T., Liu, S., Wu, X., Yan, H., & Khan, I. U. (2021) · IEEE OES China Ocean Acoustics (COA) · doi:10.1109/coa50123.2021.9520023 · Cited by 7 · see citing works
Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach
Neo, V. W., Evers, C., & Naylor, P. A. (2020) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco47968.2020.9287869 · Cited by 7 · see citing works
Reverberant speech recognition
Li, J., Li Juan, D. E. N. G., Haeb‐Umbach, R., & Gong, Y. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-802398-3.00009-x · Cited by 7 · see citing works
Efficient Source Localization and Tracking in Reverberant Environments Using Microphone Arrays
Antonacci, F., Lonoce, D., Motta, M., Sarti, A., & Tubaro, S. (2006) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2005.1416195 · Cited by 7 · see citing works
Blind Deconvolution Using Modulated Inputs
Ahmed, A. M. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2959218 · Cited by 7 · see citing works
Estimation of Basis Frequencies for Time-Varying SIMO Channels: A Second-Order Method
Peng, D., Xiang, Y., & Huang, D. D. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2048104 · Cited by 7 · see citing works
FPGA Implementation of LMS Adaptive Filters Using High-Level Synthesis Tools
Владимировна, У. И. (2022) · Smart innovation, systems and technologies · doi:10.1007/978-981-16-8759-4_47 · Cited by 6 · see citing works
Fang, T., Xia, Z. X., Liu, S., Wu, X., & Zhang, L. (2020) · Applied Sciences · doi:10.3390/app10175919 · Cited by 6 · see citing works
Naylor, P. A., & Gaubitch, N. D. (2010) · Signals and communication technology · doi:10.1007/978-1-84996-056-4_1 · Cited by 6 · see citing works
Haque, M. A., & Hasan, M. K. (2008) · IET Signal Processing · doi:10.1049/iet-spr:20070217 · Cited by 6 · see citing works
Enzner, G., Merks, I. L. D. M., & Zhang, T. (2012) · European Signal Processing Conference (EUSIPCO) · Cited by 5 · see citing works
An insight into common filtering in noisy SIMO blind system identification
Thomas, M. R., Gaubitch, N. D., Habets, E. A. P., & Naylor, P. A. (2012) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2012.6287931 · Cited by 5 · see citing works
Jo, B., & Calamia, P. T. (2020) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco47968.2020.9287710 · Cited by 5 · see citing works
Liu, W., Li, Z., Wang, Y., Song, D., Ji, N., Xu, L., Mei, T., Sun, Y., & Greenwald, S. E. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104545 · Cited by 5 · see citing works
Compensation of frequency independent I/Q imperfections using LMS algorithm
Talebpour, F., Varahram, P., Ali, B. B. M., & Sali, A. B. (2014) · IEEE International Symposium on Telecommunication Technologies · doi:10.1109/istt.2014.7238234 · Cited by 5 · see citing works
Reverberant Speech Recognition
Haeb‐Umbach, R., & Krueger, A. (2012) · doi:10.1002/9781118392683.ch10 · Cited by 5 · see citing works
Rashobh, R. S., Liu, D., & Khong, A. W. H. (2011) · International Conference on Information, Communications & Signal Processing (ICICS) · doi:10.1109/icics.2011.6174220 · Cited by 4 · see citing works
Xue, W., Brookes, M., & Naylor, P. A. (2016) · European Signal Processing Conference (EUSIPCO) · doi:10.1109/eusipco.2016.7760342 · Cited by 4 · see citing works
SRP-PHAR Combined Velocity Scanning for Locating the Shallow Underground Acoustic Source
Nie, P., Liu, B., Chen, P., Li, K., & Han, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2947097 · Cited by 4 · see citing works
A cross-relation based affine projection algorithm for blind SIMO system identification
Habets, E. A. P., Benesty, J., & Naylor, P. A. (2011) · Cited by 4 · see citing works
Self-citationSparseness-controlled adaptive algorithms for supervised and unsupervised system identification
Loganathan, P. (2011) · doi:10.25560/9052 · Cited by 4 · see citing works
A study on hands-free speech/speaker recognition
Wang, L. (2008) · Institutional Repositories DataBase (IRDB) · Cited by 4 · see citing works
Physics-Informed Neural Network-Based Indoor Non-Line-of-Sight Optical Wireless Communication
Fang, C., He, C., He, J., Chen, C., Li, S., Yang, S., Wang, Y., & Wang, K. (2025) · IEEE Photonics Technology Letters · doi:10.1109/lpt.2025.3635889 · Cited by 3 · see citing works
Blind dereverberation based on CMN and spectral subtraction by multi-channel LMS algorithm
Wang, L., Nakagawa, S., & Kitaoka, N. (2008) · Interspeech (USB) · doi:10.21437/interspeech.2008-299 · Cited by 3 · see citing works
Enzner, G., Schmid, D., & Haeb‐Umbach, R. (2013) · European Signal Processing Conference (EUSIPCO) · Cited by 3 · see citing works
Rashobh, R. S., & Khong, A. W. H. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6637681 · Cited by 3 · see citing works
Blind Identification of Ambisonic Reduced Room Impulse Response
Kitić, S., & Daniel, J. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2023.3332546 · Cited by 3 · see citing works
Xue, W., Brookes, M., & Naylor, P. A. (2017) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2017.7952224 · Cited by 3 · see citing works
Separation and Dereverberation of Speech Signals with Multiple Microphones
Huang, Y. A., Benesty, J., & Chen, J. (2005) · Springer eBooks · doi:10.1007/3-540-27489-8_12 · Cited by 3 · see citing works
Self-citationRobust low-complexity multichannel equalization for dereverberation
Lim, F. S. C., & Naylor, P. A. (2013) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2013.6637736 · Cited by 3 · see citing works
A new adaptive blind channel identification algorithm
Peng, D., Xiang, Y., & Zhang, Y. (2008) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2008.01.002 · Cited by 3 · see citing works
Zhang, W., & Naylor, P. A. (2009) · Cited by 3 · see citing works
Noise robust blind system identification algorithms based on a Rayleigh quotient cost function
Hu, M., Doclo, S., Sharma, D., Brookes, M., & Naylor, P. A. (2015) · European Signal Processing Conference (EUSIPCO) · doi:10.1109/eusipco.2015.7362830 · Cited by 3 · see citing works
Javidi, S., Gaubitch, N. D., & Naylor, P. A. (2006) · Cited by 3 · see citing works
Enhanced blind maximum ratio combining using channel tap masking for broadcasting applications
Eitel, B., Ahmed, R. A., & Speidel, J. (2013) · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin.2013.6697967 · Cited by 2 · see citing works
Zhang, L.-M., He, H., Chen, J., Yu, Y., & Benesty, J. (2024) · Applied Acoustics · doi:10.1016/j.apacoust.2024.110460 · Cited by 2 · see citing works
Self-citationDistributed Cross-Relation-Based Frequency-Domain Blind System Identification Using Online-Admm
Blochberger, M., Elvander, F., Ali, R. A., Moonen, M., van Waterschoot, T., Østergaard, J., & Jensen, J. (2022) · International Workshop on Acoustic Signal Enhancement · doi:10.1109/iwaenc53105.2022.9914714 · Cited by 2 · see citing works
Adaptive Blind Multichannel System Identification
Khong, A. W. H., & Naylor, P. A. (2010) · Signals and communication technology · doi:10.1007/978-1-84996-056-4_6 · Cited by 2 · see citing works
Adaptive blind identification of SIMO systems using channel cross-relation in the frequency domain
Huang, Y. A., Benesty, J., & Chen, J. (2004) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2003.1201687 · Cited by 2 · see citing works
Self-citationSchmid, D., & Enzner, G. (2011) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2011.5947264 · Cited by 2 · see citing works
An adaptive LMS estimation for channel variant condition in real time communication
Kapula, P. R., & Sridevi, P. V. (2013) · IEEE India Conference · doi:10.1109/indcon.2013.6725866 · Cited by 2 · see citing works
Haque, M. A., & Hasan, K. (2007) · European Signal Processing Conference (EUSIPCO) · Cited by 2 · see citing works
Design of momentum LMS algorithm for control autoregressive autoregressive systems
Ahmed, M., Chaudhary, N. I., Samar, R., & Raja, M. A. Z. (2018) · International Bhurban Conference on Applied Sciences and Technology (IBCAST) · doi:10.1109/ibcast.2018.8312237 · Cited by 2 · see citing works
Noisy speech dereverberation as a SIMO system identification issue
Bobillet, W., Grivel, É., Guidorzi, R. P., & Najim, M. (2005) · IEEE Statistical Signal Processing Workshop (SSP) · doi:10.1109/ssp.2005.1628712 · Cited by 2 · see citing works
HASAN: Highly accurate sensitivity for auto-contrast-corrected pMRI reconstruction
Sajal, M., & Hasan, M. K. (2018) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2018.09.007 · Cited by 1 · see citing works
Blind identification of the inverse of SIMO system and deconvolution with Kalman filter
Mei, T., He, G., Zhao, Y., & Dong, J. (2022) · International Journal of Speech Technology · doi:10.1007/s10772-022-10000-1 · Cited by 1 · see citing works
Chen, Y.-S., Yuan, A., & Bai, M. R. (2024) · International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · doi:10.1109/ispacs62486.2024.10868800 · Cited by 1 · see citing works
Generalized Robust Multichannel Frequency-Domain LMS Algorithms for Blind Channel Identification
Chung, I., & Clements, M. A. (2012) · ETRI Journal · doi:10.4218/etrij.11.0211.0118 · Cited by 1 · see citing works
Rashobh, R. S., & Khong, A. W. H. (2014) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2014.6854587 · Cited by 1 · see citing works
Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks
Blochberger, M., Elvander, F., Ali, R. A., Østergaard, J., Jensen, J., Moonen, M., & van Waterschoot, T. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10096574 · Cited by 1 · see citing works
A Broadband Kalman Filtering Approach to Blind Multichannel Identification
Qi, Y., Yang, F., Wu, M., & Yang, J. J. (2019) · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · doi:10.1587/transfun.e102.a.788 · Cited by 1 · see citing works
Aortic Pressure Waveforms Reconstruction Using Simplified Kalman Filter
Liu, W., Li, Z., Yao, Y., Zhou, S., & Xu, L. (2019) · Computing in cardiology · doi:10.22489/cinc.2019.117 · Cited by 1 · see citing works
THE COMPLEX MULTICHANNEL LMS ALGORITHM FOR ADAPTIVE BLIND SYSTEM IDENTIFICATION
Gaubitch, N. D., & Naylor, P. A. (2008) · Cited by 1 · see citing works
Sredojević, R. (2008) · DSpace@MIT (Massachusetts Institute of Technology)
Wang, L., Odani, K., Kai, A., Kitaoka, N., & Nakagaw, S. (2012) · InTech eBooks · doi:10.5772/48430
Frequency Domain Errors-In-Variables Approach For Two-Channel Simo System Identification
Bobillet, W., Grivel, É., Serban, I., & Serra‐Capizzano, S. (2007) · HAL · doi:10.5281/zenodo.40311
- Authors
- Huang, Y. A., & Benesty, J.
- Affiliations
- Alcatel-Lucent (France) (FR)
- Corresponding author
- Huang, Yiteng Arden
- ORCID
- Benesty, Jacob
- Venue
- Signal Processing
- Publisher
- Elsevier BV
- Published
- 2002-08
- Volume
- 82
- Issue
- 8
- Pages
- 1127-1138
- ISSN
- 0165-1684 (ISSN-L)
- OpenAlex
- W2140983050
- Cited by
- 121
- References
- 18
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 3 · 2021: 3 · 2020: 4 · 2019: 6 · 2018: 4 · 2017: 1 · 2016: 1 · 2015: 7 · 2014: 9 · 2013: 10 · 2012: 8
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Signal Processing (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Advanced Adaptive Filtering Techniques
- Physical Sciences › Computer Science › Signal Processing › Blind Source Separation Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- blind system identification, blind channel estimation, LMS algorithm, Newton algorithm, FIR systems, channel impulse response estimation, mean convergence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review