Multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse response (IIR) systems is investigated using the multichannel super-exponential method. First, some properties are shown for the rank of the correlation matrices relevant to the multichan-nel super-exponential method. Then, the matrix inver-sion lemma is extended to the degenerate rank case. Based on these results, two types of adaptive mul-tichannel super-exponential algorithms are presented, that is, the one in covariance form and the other in QR-factorization form. 1
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
In this paper, we present an algorithm for the problem of multi-channel blind deconvolution which ca...
[[abstract]]Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criter...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
Abstract. The multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse...
Abstract — The so called ”super-exponential ” methods (SEMs) are attractive methods for solving mult...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
Abstract — Recently we develop two kinds of approaches, that is, the super-exponential method (SEM) ...
Abstract — This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multipl...
[[abstract]]Shalvi and Weinstein (1990, 1993, 1994) proposed a computationally efficient iterative s...
International audienceThis article reviews the super-exponential algorithm proposed by Shalvi and We...
Abstract—The matrix inversion lemma gives an explicit formula of the inverse of a positive definite ...
[[abstract]]Feng and Chi (1998) reported a two-step lattice super-exponential algorithm (2S-LSEA) fo...
In this paper, a cumulant-based method for blind deconvolution of a multi-input multi-output system ...
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
In this paper, we present an algorithm for the problem of multi-channel blind deconvolution which ca...
[[abstract]]Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criter...
Abstract — The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse...
Abstract. The multichannel blind deconvolution of finite-impulse re-sponse (FIR) or infinite-impulse...
Abstract — The so called ”super-exponential ” methods (SEMs) are attractive methods for solving mult...
In this paper, a method for MIMO blind deconvolution is proposed. The method is applicable to the ca...
International audienceIn this paper, we propose a new iterative algorithm to solve the blind deconvo...
Abstract — Recently we develop two kinds of approaches, that is, the super-exponential method (SEM) ...
Abstract — This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multipl...
[[abstract]]Shalvi and Weinstein (1990, 1993, 1994) proposed a computationally efficient iterative s...
International audienceThis article reviews the super-exponential algorithm proposed by Shalvi and We...
Abstract—The matrix inversion lemma gives an explicit formula of the inverse of a positive definite ...
[[abstract]]Feng and Chi (1998) reported a two-step lattice super-exponential algorithm (2S-LSEA) fo...
In this paper, a cumulant-based method for blind deconvolution of a multi-input multi-output system ...
Abstract—In this paper, we present a new filter decomposition method for multichannel blind deconvol...
In this paper, we present an algorithm for the problem of multi-channel blind deconvolution which ca...
[[abstract]]Tugnait (1997), and Chi and Chen proposed multi-input multi-output inverse filter criter...