南京邮电大学学报（自然科学版）2011，Vol.31Issue(5)：1-6,6.
基于自适应基追踪去噪的含噪语音压缩感知
Compressed Sensing of Noisy Speech Signal Based on Adaptive Basis Pursuit De-noising
摘要
Abstract
An adaptive basis pursuit de-noising method is proposed for compressed sensing of speech degraded by white Gaussian noise interference. This method adaptively selects the prime regularization parameter according to the SNR of original speech signal and enhancement is achieved as it is applied to noisy speech compression and reconstruction. The reconstructed speech signal via adaptive basis pursuit de-noising is evaluated by the objective and subjective evaluation. It is demonstrated that the performance of reconstructed speech based on adaptive basis pursuit de-noising is superior to basis pursuit,to low-SNR original speech signal.关键词
压缩感知/语音压缩与重构/语音增强/自适应基追踪去噪/基追踪Key words
compressed sensing/speech compression and reconstruction/speech enhancement/adaptive basis pursuit de-noising/basis pursuit分类
信息技术与安全科学引用本文复制引用
孙林慧,杨震..基于自适应基追踪去噪的含噪语音压缩感知[J].南京邮电大学学报（自然科学版）,2011,31(5):1-6,6.基金项目
国家自然科学基金(60971129,60902065)、南京邮电大学青蓝计划(NY210031)、江苏省普通高校研究生科研创新计划(CX10B_191Z)、江苏省博士后科学基金(1101022B)资助项目 （60971129,60902065）
