CAJ | 학술논문

压缩感知理论是利用信号的稀疏性，通过少量的观测值就可以实现对该信号的精确重构。贪婪类算法是压缩感知重构步骤中广泛应用的一类算法。该文主要对该类算法中典型的三种算法在存在噪声环境中进行了综合分析比较。首先从理论方面分析了三种算法，给出了实现过程；然后在不同稀疏度情况下，对三种贪婪算法重构性能进行综合比较。根据理论分析结果和仿真结果，得出相应的结论。
압축감지이론시이용신호적희소성，통과소량적관측치취가이실현대해신호적정학중구。탐람류산법시압축감지중구보취중엄범응용적일류산법。해문주요대해류산법중전형적삼충산법재존재조성배경중진행료종합분석비교。수선종이론방면분석료삼충산법，급출료실현과정；연후재불동희소도정황하，대삼충탐람산법중구성능진행종합비교。근거이론분석결과화방진결과，득출상응적결론。
Compressive sensing is a novel signal sampling theory under the condition that the signals are sparse.In this case ,the small amount of signal values can be reconstructed accurately. Greedy algorithm is one class of the algorithms used most widely in CS signal reconstruction.In this paper, the three classic greedy algorithms are analyzed and compared theoretically in noise condi?tion with different sparsity level,by the analysis and simulation result,the conclusion is obtained.