The speech signal and noise signal are the typical non-stationary signals,however the speech signal is short-stationary ***,the denoising methods are always executed in frequency domain due to the short-time stationar...
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The speech signal and noise signal are the typical non-stationary signals,however the speech signal is short-stationary ***,the denoising methods are always executed in frequency domain due to the short-time stationarity of the speech *** this article,an improved speech denoising algorithm based on discrete fractional Fourier transform(DFRFT)is presented,which contains linear optimal filtering and median *** simulation shows that it can easily eliminate the noise compared to Wiener filtering,improve the Signal to Noise Ratio(SNR) and enhance the original speech signal.
Along with the coming of network times,the research of spam filtering technology has been imperative under the situation,However,some specialties of mail dataset such as the data sparseness,high dimensionalities and m...
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Along with the coming of network times,the research of spam filtering technology has been imperative under the situation,However,some specialties of mail dataset such as the data sparseness,high dimensionalities and multi-collinearity in mail content make great difference between spare filtering work and text classification *** this paper,a new Partial Least Squares（PLS）feature extraction method on spam filtering is proposed,which could extract new much less latent semantic components than full features by linear combination,compress original data and be better solution for *** experiments on CEAS 2006 benchmark datasets（Enron-Spam datasets）show that promising results are reported after evaluated by TREC spam track and the new method performs better than feature selection by x statistics.
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