chordsol

生成无尺度网络的matlab程序，就是速度慢了点哦！(Generate scale-free networks matlab process is slow point Oh!)

This document contains a tutorial on Matlab with a principal components analysis for a set of face images as the theme

分析灰色预测模型基本原理的基础上，利用MATLAB强大的矩阵功能，用MATLAB实现灰色预测GM(1，1)模型算法，并通过实例分析验证了程序的准确性和可靠性。(Grey forecasting model of the basic principle, using the powerful MATLAB matrix functions, with the MATLAB implementation Grey GM (1,1) model algorithm, and an example of program verify the accuracy and reliability. )

基于Matlab的音频文件数字滤波处理。本文基于Matlab分析了wav声音文件频谱与声音的关系，并给出了不同采样频率对输出声音信号的影响。(Matlab-based digital filter processing of audio files. This analysis based on Matlab wav sound files and sound relationship between the spectrum and gives different output sampling frequency of the sound signals.)

block tridiagonal matrix

说明：  通过visual c++6.0调用 matlab6.5(vc matlab)

Matlab遗传算法工具箱函数及实例讲解。(Matlab genetic algorithm toolbox functions and examples to explain.)

基于Kalman滤波器设计思想，仿真实现电池充放电模型建立，实现二阶RC电路充放电模型；(The battery charge and discharge model to achieve second-order RC circuit to charge and discharge model-based Kalman filter design thinking, simulation )

说明：  利用SVM,采用网格法和交叉法，训练与预测数据，并形成图像(Using SVM, using grid method and cross method to train and predict data, and form images)

文件中包含word文档报告 设雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz，仿真雷达回波，并绘出家Hamming窗前后的脉压波形。（提示：通过正确设定采集波门，减少数据量） 设雷达采用Dechirp方式完成脉冲压缩，其中参考距离位于（0，0），采集频率为10MHz，距离采样点数512点，仿真雷达回波，并绘出加Hamming窗前后的脉压波形（提示：通过正确设定采集波门，减少数据量）。(Word document file contains the report of the completion of matched filter-based radar uses pulse compression, gathering frequency fs = 420MHz, simulation of radar echo, and draw the house after the pulse pressure waveform Hamming window. (Hint: By setting the correct collection wave door, reducing the amount of data), based radar uses pulse compression Dechirp manner, in which reference distance at (0,0), collection frequency of 10MHz, from the sampling points 512 points, simulation, radar echo, and draw the increase of pulse pressure waveform after the Hamming window (hint: set up collection waves through the correct door, reducing the amount of data).)