[[abstract]]This correspondence shows that the Shalvi and Weinstein (1994) blind deconvolution criteria are applicable for finite SNR regardless of channels having zeros on the unit circle or not. The associated deconvolution filter is stable with a nonlinear relation to the nonblind MMSE equalizer and capable of performing perfect phase equalization for finite SNR[[fileno]]2030157010024[[department]]電機工程學
International audienceThis article reviews the super-exponential algorithm proposed by Shalvi and We...
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
ABSTRACT Blind deconvolution is aimed at recovering an unknown signal that has been distorted in tra...
[[abstract]]© 2000 Institute of Electrical and Electronics Engineers-This correspondence shows that ...
[[abstract]]In this paper, we show that Shalvi and Weinstein's (1994) blind deconvolution criteria a...
[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using...
We present necessary and sufficient conditions for blind equalization/deconvolution (without observi...
[[abstract]]Shalvi and Weinstein (1990, 1993, 1994) proposed a computationally efficient iterative s...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
[[abstract]]Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criter...
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
In this work, we explore the problem of blind deconvolution in the context of sparse signals. We sho...
[[abstract]]Tugnait (1995) and Chi and Chen proposed multi-input multi-output inverse filter criteri...
An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is present...
International audienceThis article reviews the super-exponential algorithm proposed by Shalvi and We...
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
ABSTRACT Blind deconvolution is aimed at recovering an unknown signal that has been distorted in tra...
[[abstract]]© 2000 Institute of Electrical and Electronics Engineers-This correspondence shows that ...
[[abstract]]In this paper, we show that Shalvi and Weinstein's (1994) blind deconvolution criteria a...
[[abstract]]This paper proposes a novel noise-insensitive approach to blind channel estimation using...
We present necessary and sufficient conditions for blind equalization/deconvolution (without observi...
[[abstract]]Shalvi and Weinstein (1990, 1993, 1994) proposed a computationally efficient iterative s...
The deconvolution problem is to design a deconvolution filter to reconstruct a signal from the measu...
[[abstract]]Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criter...
The most popular algorithms for blind equalization are the constant-modulus algorithm (CMA) and the ...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
In this work, we explore the problem of blind deconvolution in the context of sparse signals. We sho...
[[abstract]]Tugnait (1995) and Chi and Chen proposed multi-input multi-output inverse filter criteri...
An alternative blind deconvolution algorithm for white-noise driven minimum phase systems is present...
International audienceThis article reviews the super-exponential algorithm proposed by Shalvi and We...
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
ABSTRACT Blind deconvolution is aimed at recovering an unknown signal that has been distorted in tra...