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jcsb

于 2012-07-19 发布 文件大小:82KB
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  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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基于决策理论的数字调制信号识别.doc,132608,2012-07-19

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    积分:1
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    基于vc++开发,dtw语音识别,MFCC参数(DTW recognice based on vc++)
    2012-03-25 19:12:20下载
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  • Td-psolaPitchDuration
    使用TD-PSOLA(td-psola、psola)算法,做了一个语音合成,实现语音声调的变调,时长的变化等功能。参考praat源码,提取出其合成方法,效果不错。需要提供pitchtier、durationtier、pointprocess等准换信息文本(可由praat产生)供readfile函数读入(Use TD-PSOLA (TD-PSOLA, PSOLA algorithm, made a speech synthesis, speech tone tone sandhi, long-term changes in the function. Reference Praat source code, extract its synthetic method, the effect of the same.)
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    积分:1
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