| 语音压缩感知及其重构算法 |
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| 引用本文： | 梁瑞宇,邹采荣,赵力,奚吉,张学武.语音压缩感知及其重构算法[J].东南大学学报(自然科学版),2011,41(1):1-5. |
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| 作者姓名： | 梁瑞宇 邹采荣 赵力 奚吉 张学武 |
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| 作者单位： | 东南大学信息科学与工程学院;河海大学计算机及信息工程学院; |
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| 基金项目： | 国家自然科学基金资助项目(60472058,60975017); 江苏省自然科学基金资助项目(BK2008291); 中央高校基本科研业务费专项资金资助项目(2009B32614) |
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| 摘 要： | 在研究语音信号在小波域的稀疏性的基础上,提出双正交小波变换的方法,与一维小波变换方法相比稀疏度提高10%～25%.此外,提出基于自适应次梯度投影算法(ASPM)进行压缩感知(CS)语音信号重构的方案.ASPM算法首先根据压缩感知重构模型建立包含稀疏重构信号并具有随机属性的凸集,然后运用次梯度投影的思想将该凸集的投影转化...
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| 关 键 词： | 次梯度投影 双正交小波 压缩感知 稀疏重构 |
Compressed sensing in speech and its reconstruction algorithm |
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| Liang Ruiyu,Zou Cairong,Zhao Li,Xi Ji,Zhang Xuewu.Compressed sensing in speech and its reconstruction algorithm[J].Journal of Southeast University(Natural Science Edition),2011,41(1):1-5. |
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| Authors: | Liang Ruiyu Zou Cairong Zhao Li Xi Ji Zhang Xuewu |
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| Affiliation: | Liang Ruiyu1,2 Zou Cairong1 Zhao Li1 Xi Ji2 Zhang Xuewu2(1 School of Information Science and Engineering,Southeast University,Nanjing 210096,China)(2 College of Computer and Information,Hohai University,Changzhou 213022,China) |
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| Abstract: | Based on the research of sparseness of speech signals in wavelet domain,a method based on biorthogonal wavelet transform is presented.Compared with 1-dimension wavelet transform method,the sparseness can be improved 10% to 25% at least.Furthermore,Adaptive subgradient projection method(ASPM) is proposed in this paper for speech reconstruction in compressed sensing.Stochastic property convex set which contains the sparse reconstruction signal is established by the CS(compressed sensing) reconstruction model ... |
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| Keywords: | subgradient projection biorthogonal wavelet compressed sensing sparse reconstruction |
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