Adaptive Gradient Based Algorithm for Complex Sparse Signal Reconstruction

被引：0

作者：

Dakovic, Milos ^{[1
]}

Stankovic, Ljubisa ^{[1
]}

Orovic, Irena ^{[1
]}

机构：

[1] Univ Montenegro, Fac Elect Engn, Dzordza Vasingtona Bb, Podgorica 81000, Montenegro

来源：

2014 22ND TELECOMMUNICATIONS FORUM TELFOR (TELFOR) | 2014年

关键词：

Compressive sensing; Concentration measure; Signal reconstruction; Sparse signal processing; RECOVERY;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

An adaptive gradient based algorithm for signal reconstruction from a reduced set of samples is considered in the paper. An extension to complex-valued signals is proposed. It has been assumed that the signals are sparse in a transformation domain. The proposed algorithm is based on the previously published algorithm suitable for real-valued signals only. The algorithm is based on the steepest descent method where the measure of signal sparsity is minimized by varying missing signal samples, using a decreasing step size in iterations. The algorithm performances are analyzed and presented through examples.

引用

页码：573 / 576

页数：4

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