lattice_filter_Matlab

％电影动画： ％1.首先调用moviein函数对内存初始化.创建一个足够大的矩阵来容纳一系列指定的图形（帧） ％2.调用getframe函数生成每一帧.该函数返回一个矢量，利用这个矢量创建一个电影动画矩阵 ％3.调用movie函数按照指定速度进行指定次数的播放 ％例子2：演示如何实现快速傅立叶变换（exp(j*2*pi/n)）的可视化过程( Movie animation: 1. First transfers the moviein function to the memory initialization Founds graph which an enough big matrix holds a series of assigns (frame) % 2. Transfers the getframe function to produce each This function returns to a vector, uses this vector to found a movie animation matrix % 3. Transfers the movie function according to assign the speed to carry on assigns the number of times the broadcast Example 2: How demonstrates realizes fast Fourier transforms (exp (j*2*pi/n)) the visible process )

对一个模拟信号进行fft变换，并求出其幅值图和相位图，对于fft初学者会有一定的用途(An analog signal fft transform, and find its magnitude and phase diagrams, for beginners there will be some use of fft)

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经典数据挖掘的MATLAB代码，非常全面！非常好用，欢迎大家下载使用~(Mining in the classical algorithm of MATLAB code is very comprehensive! Very easy to use, welcome to download ~)

. The 8-puzzle problem is a puzzle invented and popularized by Noyes Palmer Chapman in the 1870s. It is played on a 3-by-3 grid with 8 square blocks labeled 1 through 8 and a blank square. Your goal is to rearrange the blocks so that they are in order. You are permitted to slide blocks horizontally or vertically into the blank square. The following shows a sequence of legal moves from an initial board position (left) to the goal position (right).

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

this is an ieee based simulink based projects for reducing the harmonic ditortion is the power systems

M/M/1 模型,主要用来求解单对单服务台的模型，过程比较简介，适合任何分布(M/M/1 model, mainly used to solve the one-on-one help desk model, the process is relatively brief, suitable for any distribution)

本例子给出了fmincon的使用方法，还有遗传工具箱的使用方法，供新手参考。(This example gives the use of fmincon and genetic toolbox for novice reference.)

emd源程序的工具包，只要编写主程序调用即可，非常经典(emd source toolkit, just write the main program calls can be very classic)