南京邮电大学学报（自然科学版）2011，Vol.31Issue(6)：49-54,6.
基于最优观测的语音信号压缩感知
Speech Compressed Sensing Based on Optimized Observation
摘要
Abstract
Compressed sensing (CS) which offers a joint sampling and compression processes is a research hotspot in recent years. This paper researchs a new processing technology of speech signal based on CS. The approximate sparsity of speech signal in the DCT domain is verified. Based on the theory in the literature [ 1 ] , An optimal observation matrix algorithm for speech signal is intruduced. Speech compressed sensing based on optimized observation is proposed on the combination of the approximate sparsity of speech signal and the optimized observation matrix algorithm. The performance of speech CS in the DCT domain is analyzed by the experiments. The experiments' results show that performance of the speech signal CS based on the optimal observation is better than which of other algorithmes. The results verifys the correctness of the theory in the literature [ 1 ].关键词
压缩感知/离散余弦变换/稀疏性/内聚值/最优观测矩阵/正交匹配追踪Key words
compressed sensing/ discrete cosing transform/ sparsity/ mutual coherence/ optimal observation matrix/ orthogonal matching pursuit分类
信息技术与安全科学引用本文复制引用
徐倩,季云云..基于最优观测的语音信号压缩感知[J].南京邮电大学学报（自然科学版）,2011,31(6):49-54,6.基金项目
国家自然科学基金(60971129)和国家重点基础研究发展计划(973计划)(2011CB302903)资助项目 （60971129）
