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传统谱减与MCRA语音增强算法

于 2018-11-22 发布文件大小:221KB

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下载积分: 1 下载次数: 22

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代码说明：

传统语音增强算法，谱减法和MCRC算法，matlab源代码。(Traditional speech enhancement algorithm, spectral subtraction and MCRC algorithm, matlab source code.)

文件列表：

传统谱减与MCRA语音增强算法, 0 , 2017-10-10
传统谱减与MCRA语音增强算法\initialise_parameters.m, 4707 , 2017-05-03
传统谱减与MCRA语音增强算法\mcra_estimation.m, 876 , 2017-05-03
传统谱减与MCRA语音增强算法\mcra_main.asv, 1190 , 2017-05-06
传统谱减与MCRA语音增强算法\mcra_main.m, 1912 , 2017-05-07
传统谱减与MCRA语音增强算法\mcra_result.wav, 44844 , 2017-05-08
传统谱减与MCRA语音增强算法\myspectrogram.m, 13447 , 2017-05-03
传统谱减与MCRA语音增强算法\noise_estimation.m, 673 , 2017-05-03
传统谱减与MCRA语音增强算法\noisy.wav, 45102 , 2017-05-08
传统谱减与MCRA语音增强算法\outfile.wav, 35724 , 2017-05-06
传统谱减与MCRA语音增强算法\pujian_main.asv, 2637 , 2017-05-06
传统谱减与MCRA语音增强算法\pujian_main.m, 2817 , 2017-05-07
传统谱减与MCRA语音增强算法\pujian_result.wav, 44884 , 2017-05-08
传统谱减与MCRA语音增强算法\result.wav, 42604 , 2017-05-03
传统谱减与MCRA语音增强算法\specsub_ns.m, 6690 , 2017-05-03
传统谱减与MCRA语音增强算法\Thumbs.db, 31232 , 2017-05-08

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synsize1
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2012-11-02 20:41:58下载

积分：1
Demo2_UART_1017
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2012-04-24 17:59:51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.)

2012-07-19 09:29:58下载

积分：1
yuyinxinhaolianghua
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