| 基于最优观测的语音信号压缩感知 |
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| 引用本文： | 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. |
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| 作者姓名： | 徐倩 季云云 |
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| 作者单位： | 南京邮电大学信号处理与传输研究院,江苏南京210003;南京邮电大学宽带无线通信与传感网技术教育部重点实验室,江苏南京210003 |
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| 基金项目： | 国家自然科学基金(60971129);国家重点基础研究发展计划(973计划)(2011CB302903)资助项目 |
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| 摘 要： | 压缩感知是一种结合采样和压缩的新技术,是近年来研究的热点.文中研究基于压缩感知(Compressed Sensing,CS)理论的语音信号处理新技术.验证了语音信号在离散余弦变换域(Discrete Cosing Transform,DCT)的近似稀疏性.根据文献1]提出的最优观测理论,文中针对语音信号进行了研究,提...
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| 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 |
Speech Compressed Sensing Based on Optimized Observation |
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| XU Qian
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JI Yun-yun.Speech Compressed Sensing Based on Optimized Observation[J].Journal of Nanjing University of Posts and Telecommunications,2011,31(6):49-54. |
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| Authors: | XU Qian JI Yun-yun |
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| Institution: | 1,2 1.Institute of Signal Processing and Transmission,Nanjing University of Posts and Telecommunications,Nanjing 210003,China2.Key Lab of Broadband Wireless Communication and Sensor Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China |
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| 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]. |
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| Keywords: | compressed sensing discrete cosing transform sparsity mutual coherence optimal observation matrix orthogonal matching pursuit |
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