[PDF][PDF] Time delay estimation in room acoustic environments: An overview

J Chen, J Benesty, Y Huang - EURASIP Journal on Advances in Signal …, 2006 - Springer
Time delay estimation has been a research topic of significant practical importance in many
fields (radar, sonar, seismology, geophysics, ultrasonics, hands-free communications, etc.) …

Blind system identification

K Abed-Meraim, W Qiu, Y Hua - Proceedings of the IEEE, 1997 - ieeexplore.ieee.org
Blind system identification (BSI) is a fundamental signal processing technology aimed at
retrieving a system's unknown information from its output only. This technology has a wide …

[引用][C] Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications

A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

Blind deconvolution using convex programming

A Ahmed, B Recht, J Romberg - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We consider the problem of recovering two unknown vectors, w and x, of length L from their
circular convolution. We make the structural assumption that the two vectors are members of …

[图书][B] Speech dereverberation

PA Naylor, ND Gaubitch - 2010 - books.google.com
Speech dereverberation is a signal processing technique of key importance for successful
hands-free speech acquisition in applications of telecommunications and automatic speech …

Space-time processing for wireless communications

AJ Paulraj, CB Papadias - IEEE signal processing magazine, 1997 - ieeexplore.ieee.org
Space-time processing can improve network capacity, coverage, and quality by reducing co-
channel interference (CCI) while enhancing diversity and array gain. This article focuses …

Stochastic Approximation with Applications

HF Chen - Encyclopedia of Systems and Control, 2021 - Springer
The topic of stochastic approximation (SA) and its pioneer algorithm (the Robbins-Monro
(RM) algorithm) with methods for its convergence analysis are described. Algorithms …

Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels

GB Giannakis, C Tepedelenlioglu - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
The time-varying impulse response of rapidly fading mobile communication channels is
expanded over a basis of complex exponentials that arise due to Doppler effects …

Multichannel blind identification: From subspace to maximum likelihood methods

L Tong, S Perreau - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
A review of blind channel estimation algorithms is presented. From the (second-order)
moment-based methods to the maximum likelihood approaches, under both statistical and …

Adaptive blind signal processing-neural network approaches

S Amari, A Cichocki - Proceedings of the IEEE, 1998 - ieeexplore.ieee.org
Learning algorithms and underlying basic mathematical ideas are presented for the problem
of adaptive blind signal processing, especially instantaneous blind separation and …