基于正交匹配追踪算法的语音信号重构研究

压缩感知理论是近年来提出的一种新兴的基于信号稀疏性的采样理论。正交匹配追踪算法是其中一种典型的重构方法，文中针对语音信号重构中存在的不足，采用正交匹配追踪算法对语音信号进行信号重构，相比于传统的压缩感知的重构算法更加地适用于对含噪语音、重构语音质量会更高，去噪效果也会更明显。为语音信号CS性能的基础性的研究提供了参考。

Research on Speech Signal Reconstruction Based on Orthogonal Matching Pursuit Algorithm

Compressed sensing theory is a new sampling theory based on the sparsity of signal in recent years. Orthogonal matching pursuit algorithm is one of the typical reconstruction methods, aiming at the problems in speech recognition, using orthogonal matching pursuit algorithm for signal reconstruction of speech signal reconstruction algorithm, compared to the traditional compressed sensing is more suitable for the noisy speech, reconstructed speech quality will be higher, the denoising effect it will be more obvious. The basic research on the performance of speech signal CS is of great practical value and significance.