基于等角紧框架的稀疏信号重构算法
Sparse Signal Reconstruction Algorithm Based on ETF

作者: 钱 建 , 张洪峰 :杭州电子科技大学通信工程学院,浙江 杭州;

关键词: 信号处理稀疏信号等角紧框架Signal Processing Sparse Signal Equiangular Tight Frames

摘要:
由于信号稀疏表示的优良特性,已被用于信号处理很多领域,但计算复杂成为其实际应用中一大障碍。框架理论是一个新的研究方向,框架可以更为灵活的表示信号。本文结合稀疏信号和框架的特点,提出一种基于等角紧框架(Equiangular Tight Frames, ETF)的稀疏信号重构算法,并通过相应仿真验证。

Abstract: As sparse representation of signals has excellent characteristics, it has been applied in several fields of signal processing. However, the computational complexity has become a major obstacle in practical application. Frame theory is a new research direction and can be more flexible repre-sentation signal. In this paper, with the characteristics of sparse signal and frameworks, we propose a sparse signal reconstruction algorithm based on ETF, and then simulate and verify it.

文章引用: 钱 建 , 张洪峰 (2015) 基于等角紧框架的稀疏信号重构算法。 计算机科学与应用, 5, 165-170. doi: 10.12677/CSA.2015.55021

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