Search Results - "Zayyani, H."

An Iterative Bayesian Algorithm for Sparse Component Analysis in Presence of Noise by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…We present a Bayesian approach for sparse component analysis (SCA) in the noisy case. The algorithm is essentially a method for obtaining sufficiently sparse…”
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DISTRIBUTED UNMIXING OF HYPERSPECTRAL DATAWITH SPARSITY CONSTRAINT by Khoshsokhan, S., Rajabi, R., Zayyani, H.

“…Spectral unmixing (SU) is a data processing problem in hyperspectral remote sensing. The significant challenge in the SU problem is how to identify endmembers…”
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Approximated Cramér–Rao bound for estimating the mixing matrix in the two-sensor noisy Sparse Component Analysis (SCA) by Zayyani, H., Babaie-Zadeh, M.

“…In this paper, we address theoretical limitations in estimating the mixing matrix in noisy Sparse Component Analysis (SCA) in the two-sensor case. We obtain…”
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An iterative bayesian algorithm for block-sparse signal reconstruction by Korki, M., Zhangy, J., Zhang, C., Zayyani, H.

“…This paper presents a novel iterative Bayesian algorithm, Block Iterative Bayesian Algorithm (Block-IBA), for reconstructing block-sparse signals with unknown…”
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On the Cramér-Rao Bound for Estimating the Mixing Matrix in Noisy Sparse Component Analysis by Zayyani, H., Babaie-zadeh, M., Haddadi, F., Jutten, C.

“…In this letter, we address the theoretical limitations in estimating the mixing matrix in noisy sparse component analysis (SCA) for the two-sensor case. We…”
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Stochastic Block NIHT Algorithm for Adaptive Block-Sparse System Identification by Z. Habibi, H. Zayyani, M. Shams Esfandabadi

“…Background and Objectives: Compressive sensing (CS) theory has been widely used in various fields, such as wireless communications. One of the main issues in…”
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Approximated CrameraRao bound for estimating the mixing matrix in the two-sensor noisy Sparse Component Analysis (SCA) by Zayyani, H, Babaie-Zadeh, M

“…In this paper, we address theoretical limitations in estimating the mixing matrix in noisy Sparse Component Analysis (SCA) in the two-sensor case. We obtain…”
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Bayesian Pursuit algorithm for sparse representation by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…In this paper, we propose a Bayesian pursuit algorithm for sparse representation. It uses both the simplicity of the pursuit algorithms and optimal Bayesian…”
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Frequency Estimation of Unbalanced Three-Phase Power System using a New LMS Algorithm by H. Zayyani, M. Dehghan

“…This paper presents a simple and easy implementable Least Mean Square (LMS) type approach for frequency estimation of three phase power system in an unbalanced…”
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Compressed sensing Block MAP-LMS adaptive filter for sparse channel estimation and a Bayesian Cramer-Rao bound by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…This paper suggests to use a block MAP-LMS (BMAP-LMS) adaptive filter instead of an adaptive filter called MAP-LMS for estimating the sparse channels. Moreover…”
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Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm…”
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Thresholded smoothed-ℓ0(SL0) dictionary learning for sparse representations by Zayyani, H., Babaie-Zadeh, M.

“…In this paper, we suggest to use a modified version of Smoothed-lscr 0 (SL0) algorithm in the sparse representation step of iterative dictionary learning…”
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Weighted diffusion LMP algorithm for distributed estimation in non-uniform noise conditions by Zayyani, H, Korki, M

“…This letter presents an improved version of diffusion least mean ppower (LMP) algorithm for distributed estimation. Instead of sum of mean square errors, a…”
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Joint DOA Estimation and Array Calibration Using Multiple Parametric Dictionary Learning by Ghanbari, H, Zayyani, H, Yazdian, E

“…This letter proposes a multiple parametric dictionary learning algorithm for direction of arrival (DOA) estimation in presence of array gain-phase error and…”
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Bayesian hypothesis testing for one bit compressed sensing with sensing matrix perturbation by Zayyani, H, Korki, M, Marvasti, F

“…This letter proposes a low-computational Bayesian algorithm for noisy sparse recovery in the context of one bit compressed sensing with sensing matrix…”
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Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…In this paper, we focus on the mixing matrix estimation which is the first step of Sparse Component Analysis. We propose a novel algorithm based on…”
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Source Estimation in Noisy Sparse Component Analysis by Zayyani, H., Babaie-Zadeh, M., Jutten, C.

“…In this paper, a new algorithm for sparse component analysis (SCA) in the noisy underdetermined case (i.e., with more sources than sensors) is presented. The…”
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