关键词: 语音压缩感知, 离散余弦变换（DCT）域稀疏预处理, 循环观测, 正交匹配追踪（OMP）

Abstract: Based on the compressed sensing theory, it proposes a pre-treatment for the sparsity of transform-domain by zeroing the value below the threshold in the DCT domain. It builds the circulant measurement matrix in three ways instead of Gaussian random matrix, and proves the non-coherence between measurement matrix and DCT base. It uses the OMP method to recover the signal. Simulation experimental result demonstrates that after pre-treatment using circulant measurement matrix has lower restruction error in different compression rate. While analyzing the SNR of each frame, it guarantees a low compress rate and has a good score in PESQ.

Key words: speech compressed sensing, Discrete Cosine Transform（DCT） sparse pre-treatment, circulant measurement, Orthogonal Matching Pursuit（OMP）