speechenhancement

QPSO和FDTD相结合的英文文章，费了好大劲找到的(FDTD combined QPSO and English articles, and with great enthusiasm to find)

To calculate huffman in information theory.

说明：  基于PCA人脸识别算法的研究，用matlab实现。(PCA-based face recognition algorithm using matlab to achieve.)

一种新型的配电网潮流计算的matlab源代码,基于前推回代法，并附有10kv配电网数据，利用新的判别手段，成功解决配电网不收敛的问题(A new distribution power flow calculation matlab source code, based on forward and backward substitution method, together with 10kv distribution network data, using new identification methods, successfully resolved the problem of the distribution network does not converge)

针对电机的直接转矩控制，通过MATLAB的simulink进行了详细的仿真，并且给出了一篇仿真的论文。(For direct torque control of the motor , through the MATLAB simulink carried out a detailed simulation , and gives a simulation papers. )

matpower中文手册 详细介绍了matpower的安装使用方法 数据格式 潮流计算及最优潮流等内容(matpower Chinese installation manual details the methods of data format and flow calculation matpower OPF etc.)

对图像作直方图均衡化处理，列出原图像直方图与均衡后图像的直方图的对照；灰度级的转换调试(For histogram equalization of image processing, listing the original image histogram and histogram equalization contrast gray-scale conversion of debugging)

自己编写的一个卡尔曼滤波c++源程序代码，可以借鉴学习(My writing of a kalman filter c++ source code that can be drawn lessons from learning )

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

基于MATLAB软件的陷波器及另一种LMS算法程序(Notch filter based on MATLAB software and another LMS algorithm)