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cs-speech-enhancement

于 2014-01-20 发布 文件大小:436KB
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  文利用带噪语音经特征基函数矩阵转换后所具有的稀疏特性,用最大似然估计方法对转换后得到的稀疏 分量进行非线性压缩去噪,然后再经过反变换和重构恢复出原始语音信号的估计。特征基函数矩阵反映了语音数据本 身的统计特性,因此具有很好的合理性和可取性。仿真结果表明利用稀疏编码方法能极大程度地抑制背景噪卢,与小波消噪法相比优势明显。(a speech enhancement algorithm based Compressed Sensing.)

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cs speech enhancement.pdf,470690,2014-01-19

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