Robust sparse signal recovery based on weighted median operator

ADMM-based ℓ1− ℓ1 optimization algorithm for robust sparse channel estimation in OFDM systems

H Vargas, J Ramirez, H Arguello - Signal Processing, 2020 - Elsevier
In this paper, an ℓ 1− ℓ 1 optimization algorithm based on the alternating direction method of
multipliers (ADMM) is proposed for robust sparse channel estimation in OFDM systems …
被引用次数：8 相关文章 所有 3 个版本

Noise robust automatic speech recognition system by integrating robust principal component analysis (RPCA) and exemplar-based sparse representation

M Gavrilescu - 2015 7th International Conference on …, 2015 - ieeexplore.ieee.org
An enhanced Automatic Speech Recognition (ASR) system based on Hidden Markov
Models (HMM) is presented. The system makes use of two sparse algorithms in order to …
被引用次数：8 相关文章 所有 2 个版本

Improved Automatic Speech Recognition system by using compressed sensing signal reconstruction based on L0 and L1 estimation algorithms

M Gavrilescu - 2015 7th International Conference on …, 2015 - ieeexplore.ieee.org
This paper presents a way of improving the recognition rate of a typical Hidden Markov
Model (HMM)-based Automatic Speech Recognition (ASR) system by integrating the l 1 …
被引用次数：6 相关文章 所有 2 个版本

Hyperparameter-free Weighted Median Operator for Robust Spectral Analysis in Heavy-Tailed Noise Environment

Q Yi, Y Zhang, J Yan, B Tang - 2023 24th International Vacuum …, 2023 - ieeexplore.ieee.org
The least absolute shrinkage and selection operator (LASSO) regression has been widely
used for high-resolution spectral line estimation. Since the derivation of the LASSO is based …
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Robust Sparse Signal Recovery in Impulsive Noise Using Bayesian Methods

J Song, F Shen, X Chen, D Zhao - IEICE Transactions on …, 2018 - search.ieice.org
In this letter, robust sparse signal recovery is considered in the presence of heavy-tailed
impulsive noise. Two Bayesian approaches are developed where a Bayesian framework is …
被引用次数：1 相关文章 所有 4 个版本