462 citations · 816 across the 7 of their papers we have counts for
7 papers · 1 filter
l_0 Norm Constraint LMS Algorithm for Sparse System Identification
Yuantao Gu, Jian Jin, Shunliang Mei
In order to improve the performance of Least Mean Square (LMS) based system identification of sparse systems, a new adaptive algorithm is proposed which utilizes the sparsity prope…
A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework
Jian Jin, Yuantao Gu, Shunliang Mei
Based on the methodological similarity between sparse signal reconstruction and system identification, a new approach for sparse signal reconstruction in compressive sensing (CS) i…
A Robust Zero-point Attraction LMS Algorithm on Near Sparse System Identification
Jian Jin, Qing Qu, Yuantao Gu
The newly proposed norm constraint zero-point attraction Least Mean Square algorithm (ZA-LMS) demonstrates excellent performance on exact sparse system identification. Howeve…
Zero-point attracting projection algorithm for sequential compressive sensing
Yang You, Jian Jin, Wei Duan +3
Sequential Compressive Sensing, which may be widely used in sensing devices, is a popular topic of recent research. This paper proposes an online recovery algorithm for sparse appr…
Robustness of Sparse Recovery via -minimization: A Topological Viewpoint
Jingbo Liu, Jian Jin, Yuantao Gu
A recent trend in compressed sensing is to consider non-convex optimization techniques for sparse recovery. The important case of -minimization has become of particular interest…
Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection
Jingbo Liu, Jian Jin, Yuantao Gu
In this paper, we consider compressed sensing (CS) of block-sparse signals, i.e., sparse signals that have nonzero coefficients occurring in clusters. An efficient algorithm, calle…
Performance Analysis of l_0 Norm Constraint Least Mean Square Algorithm
Guolong Su, Jian Jin, Yuantao Gu +1
As one of the recently proposed algorithms for sparse system identification, norm constraint Least Mean Square (-LMS) algorithm modifies the cost function of the traditi…