wavelet

所属分类:语音合成
开发工具:PDF
文件大小:188KB
下载次数:49
上传日期:2009-05-05 21:50:29
上 传 者majidazimi
说明:  SPEECH ENHANCEMENT BASED ON WAVELET DENOISING Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of processing of the signal contributes to the noise addition. A signal traveling through the channel also gathers lots of noise. It degrades the quality of the information signal. The effect of noise could be reduced only at the cost of the bandwidth of the channel which is again undesired as bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the power of the noise signal or in the other way, raise the power level of the informative signal, at the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing Estimation method) to improving the signal to noise ratio.
(SPEECH ENHANCEMENT BASED ON WAVELET DENOISING Abstract:- Noise is an unwanted and inevitable interference in any form of communication. It is non-informative and plays the role of sucking the intelligence of the original signal. Any kind of processing of the signal contributes to the noise addition. A signal traveling through the channel also gathers lots of noise. It degrades the quality of the information signal. The effect of noise could be reduced only at the cost of the bandwidth of the channel which is again undesired as bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the power of the noise signal or in the other way, raise the power level of the informative signal, at the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing Estimation method) to improving the signal to noise ratio.)

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wavelet.pdf (213335, 2009-04-11)

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