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Matlab-voicebox 这个里面的文件对于做语音识别有帮助(Matlab-voicebox)

电缆的EMC设计分析介绍，具体介绍了场在导线中感应的噪声以及电缆之间的串扰(EMC introduces the design of the cable analysis)

直接转矩控制方面的例子，希望能给大家提供帮助(Examples of direct torque control, hope that they can help)

一个滤波器的设计，大家看看了！！！！！！！！！！！！！(filter)

用matlab 实现离散时间傅里叶变换的例程，方便初接触者使用。这是我dsp课的大作业(Using matlab discrete-time Fourier transform routines to facilitate early contact to use. This is my big job dsp lesson)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

实现了1999年huang等人提出的基本MNF算法，经验证可运行。(Huang et al 1999 MNF algorithm, proven run.)

from this i want pesq result for speech enhancement

flownewton le thanh binh

MATLAB CODE FOR POWER FLOW