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Speech Signal Denoising,Speech Signal Denoising
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Denoise EEG data using wavelet methods
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matlab下用小波去除随机噪声的一个例子，希望对大家有用-matlab remove the random noise using wavelet under an example, we hope to be useful
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将小波变换应用于信号消噪,去除冗余分量后，提取信号主要特征-the wavelet can be applied to the signal denoise and feature extraction
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在matlab环境下，试用小波变换消除数据中的噪声信号-In the matlab environment, the trial data in the wavelet transform to eliminate the noise signal
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matlab 基于小波变换的语音信号增强 及 语音信号去噪代码-matlab voice signal enhancement based on wavelet transform and speech signal denoising code
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利用matlab读入语音信号，加入噪声后滤波，并演示效果-Matlab reading the speech signal, filtering, and demonstrate the effect of the added noise
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matlab小波去噪程序，包含语音信号，和一维吸信号-wavelet denoise matlab code，including wav signal and one d signal。
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this matlab code denoise the pink noise from pcg signal and generate the specogram
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KSVD
a programme for Ksvd to denoise, using matlab,we can use it to deal with the signal or image or audo-a programme for Ksvd to denoise, using matlab,we can use it to deal with the signal or image or audo
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Matlab signal noise reduction toolbox
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利用互相关函数算法去除信号噪声，适用于matlab。-Using the cross-correlation function signal noise removal algorithms for matlab.
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对一段受高频信号干扰的音乐利用MATLAB进行去噪-using MATLAB to denoise a piece of music interfered by high frequency signal
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再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regul
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实现了维纳滤波对语音信号的去噪，输入一段音频文件，取单声道，加噪声后进行滤波(Wiener filtering The Wiener filter is used to denoise the speech signal, input a segment of audio file, take the single channel, and filter the noise after adding the noise)
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运用谱减法，对语音信号进行去噪处理并比较处理前后的信噪比(Using spectral subtraction to denoise the speech signal and compare the signal to noise ratio before and after processing)
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用于实现小波变换模极大值去噪，信号为正弦信号添加高斯白噪声(It is used to denoise the modulus maximum of wavelet transform, and the signal is sinusoidal signal, adding Gauss white noise.)
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