A Novel Underdetermined Source Recovery Algorithm Based on k-Sparse Component Analysis

Sparse Representation for Brain Signal Processing: A tutorial on methods and applications

(2014) Yuanqing Li et al.   IEEE SIGNAL PROCESSING MAGAZINE

A Linear Source Recovery Method for Underdetermined Mixtures of Uncorrelated AR-Model Signals Without Sparseness

(2014) Benxu Liu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Blind source separation of underdetermined mixtures of event-related sources

(2014) Mohammad Niknazar et al.   SIGNAL PROCESSING

A new fuzzy K-EVD orthogonal complement space clustering method

(2013) Jiechang Wen et al.   NEURAL COMPUTING & APPLICATIONS

A unified approach to sparse signal processing

(2012) Farokh Marvasti et al.   EURASIP Journal on Advances in Signal Processing

An Iterative Bayesian Algorithm for Sparse Component Analysis in Presence of Noise

(2009) H. Zayyani et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

(2008) D. Needell et al.   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Underdetermined Blind Source Separation Based on Relaxed Sparsity Condition of Sources

(2008) Dezhong Peng et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $\ell ^{0}$ Norm

(2008) H. Mohimani et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Probing the Pareto Frontier for Basis Pursuit Solutions

(2008) Ewout van den Berg et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

K-hyperline clustering learning for sparse component analysis

(2008) Zhaoshui He et al.   SIGNAL PROCESSING