vind2sub--by-Chris

功能描述：测试Levinson-Durbin算法 文件名：L_D_sim.m 测试用例： (1)x(n)+0.81*x(n-2)=u(n)，u(n)为高斯白噪声 (2)x(n)=u(n)+u(n-1)+u(n-2),u(n)为高斯白噪声 文件输出：两种测试用例情况下的功率谱 调用函数：function [A,E] = Levinson_Durbin_Algo(R,P) 被调用：无 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 ( Function Description: Test Levinson-Durbin algorithm file name: L_D_sim.m test case: (1) x (n)+0.81* x (n-2) = u (n), u (n) is Gaussian white noise (2) x (n) = u (n)+ u (n-1)+ u (n-2), u (n) is Gaussian white noise file output: two tests use case in case of power spectrum call the function: function [A, E] = Levinson_Durbin_Algo (R, P) is called: No of: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )

world sat ultimate bin ab sat decrypter for stm 5000 ng 9000

求最短路径的kruskal程序源代码适用于最小生成树(The shortest path kruskal source code)

基于matlab的点源弥散模型，可用于关于环境的毕业论文( point source dispersion model based on the matlab, can be used for the graduation thesis about the environment)

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)

Midi tools for PortAudio: Sending MIDI reset signal to Midi Keyboard Playing a midi with keyboard visualisation for training Midi filter / modifications

DCT变换：变换域系数选取采用阈值编码，：阈值越小，图像恢复效果越好，但压缩效果差，一般取在5-10 即可很好的获得恢复图像信息。(DCT transform: transform domain coefficients selected using the threshold coding: the smaller the threshold value, the better the image restoration, but the compression is poor, and generally in the 5-10 to get a good recovery image information.)

“基于MATLAB的系统分析与设计—信号处理”一书是一本极好的的书，对初学信号处理的非常值得一读。该书针对应用广泛的的号处理领域，简要介绍了信号处理的基本概念和基本方法，详细介绍了由MATLAB提供的信号处理工具箱函数的用法指南，最后以大量的应用示例，说明MATLAB进行信号处理系统分析与设计方法。( Based on MATLAB-Analysis and Design- Signal Processing, a book is an excellent book, for beginner signal processing is very worth reading. The book aimed at a wide range of applications to deal with the No. field, briefly introduced the basic concepts of signal processing and basic methods, detailed information provided by the MATLAB Signal Processing Toolbox function usage guide, and finally to a large number of application examples MATLAB signal dealing with system analysis and design methods.)

speech recognition using matlab

通信系统仿真的部分matlab程序，请大家来分享(Communication system simulation part of the matlab program, please come to share)