### Sparse Signal Recovery via Adaptive Filtering

1 Introduction Compressive sensing (CS) is a novel technique that enables sampling below Nyquist rate, without (or with little) sacrificing reconstruction quality. It is based on exploiting signal sparsity in some typical domains. One of the main tasks of CS…

### $l_0$-LMS——an efficient and robust adaptive filtering algorithm for sparse system identification

1 Introduction $l_0$-LMS is an efficient and robust adaptive filtering algorithm for sparse system identification. It is first proposed in the paper $l_0$ Norm Constraint LMS for Sparse System Identification, IEEE Signal Processing Letters, 16(9) 2009 by Yuantao Gu, Jian…