ANN_MATLAB

包含多种噪声谱估计算法用于语音增强，采用的是标准谱减法，主要用于对各种噪声谱估计算法对比，详见readme.txt(Ppls spectral subtraction noise spectrum estimation, mainly used to compare the performance of different noise spectrum estimation algorithms, including Martin s minimum tracking algorithm, Minimum controlled recursive average algorithm (Cohen), variant of Minimum controlled recursive average algorithm, improved Minimum controlled recursive average algorithm (Cohen ), continuous spectral minimum tracking (Doblinger), weighted spectral average (Hirsch & Ehrilcher), connected frequency regions (Sorensen & Andersen). See readme.txt inside)

DRNN网络简单代码，n个样本个数，输出为权值矩阵(DRNN network of simple code, n the number of samples, the output weight matrix)

Blind Sources Separation code

对信号进行频谱分析及滤波，欢迎大家下载学习，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( The signal spectral analysis and filtering, Welcome to download the study, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)

说明：  matlab ocd函数 最优化的方法 有具体代码(the optimizition of the ocd function use in matlab)

利用MATLAB实现fft的MATLAB代码以及解释和仿真结果(Fft in MATLAB using MATLAB code as well as the realization of the interpretation and simulation results)

VBand matlab applicationed in power system short circuit

关于K近邻的一些列子和程序，可以更深入的了解近邻法(Some neighbors on K Liezi and procedures can be more in-depth understanding of neighbor law)

一种基于最小熵反褶积( ]8+83)3 6+D*(A4 Q20(+W(-)D8(+，]6Q) 的滚动轴承故障特征提取方法: 在利用 /X 模型去除齿轮啮合产生的确定性信号的基础上，对保留信号进行最小熵反褶积，增强冲击信号"该方法避免了传统轴承故障诊断方法中带通滤波器设计的难题，实车测试表明: 与共振解调技术相比，该方法提取的滚动轴承故障特征更加明显，更适合于工程应用"(Based on minimum entropy deconvolution (] 8+83) 3 6+D* (A4 Q20 (+W (-) D8 (+,] 6Q)' s fault feature extraction method: using/X model to remove the uncertainty generated signal gear on the basis of the retention signal minimum entropy deconvolution, and enhance the impact of signal " This method avoids the problems of traditional bearing fault diagnosis method of the bandpass filter design, real vehicle test showed that: compared with the resonance demodulation technology, which fault feature extraction method is more obvious, more suitable for engineering applications. " )

说明：  内点法的机组组合程序，采用不可行内点启动的原对偶线性规划内点法，采用了稀疏技术(unit commitment program using interior method)