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paper4

于 2014-05-06 发布 文件大小:330KB
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  4基于稀疏编码的语音增强方法.pdf (4 sparse coding speech enhancement based on 4 sparse coding speech enhancement method based on.Pdf.Pdf method)

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说明.txt,741,2011-12-23

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    2013-08-13 09:02:28下载
    积分:1
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    对一维语音信号,用正交匹配追踪的方法进行重构,首先对其进行了分帧,然后再一帧一帧的重构,最后计算了平均帧重构误差(One-dimensional speech signal reconstruction, orthogonal matching pursuit, the first of its sub-frame, and then again a reconstruction of a final calculation of the average frame reconstruction error)
    2020-10-20 11:07:25下载
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    mfcc.m 用于语音识别上的mfcc特征参数提取函数。(mfcc.m mfcc characteristic parameters for speech recognition on the extraction function.)
    2021-03-28 02:09:11下载
    积分:1
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    matlab实现的基于小波变化的语音去噪源码,可以去除语音中的背景噪声。(Matlab based on the wavelet changes in the voice de-noising source, you can remove the background noise in the voice.)
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    基于峭度的盲分离开关算法的matlab源代码程序(Blind Source Separation Based on Kurtosis switch algorithm )
    2009-10-16 18:12:40下载
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  • jcsb
    文中研究了6种常用数字调制信号识别的特征参数集,并采用决策树判别方法进行分类识别。仿真结果表明,在SNR≥5dB时,识别正确率在99 以上,且当SNR≥20dB时,识别正确率达到100 。其特点是,算法简单,识别正确率高,达到了自动分类识别的目的,并有利于实现识别的实时化。(In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulation signal recognition, and decision tree method for classification. The simulation results show that SNR 鈮� 5dB, the correct rate more than 99 , and when SNR 鈮� 20dB, the correct rate of 100 . Which is characterized by simple algorithm to identify the correct rate, to achieve the purpose of automatic classification and recognition, and help to identify real-time.)
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