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MATLAB的mmread函数，用于读写与视频相关的文件(MATLAB-mmread functions for reading and writing and video-related documents)

自己编写的快速相关法ISAR成像仿真程序,包含完整的程序，效果非常好，对ISAR编程帮助很大( )

MATLAB/Simulink Device Blocksets for dsPIC® DSCs

music算法是用于估计信号到达天线阵列的到达角度信息(music estimate doa of arrival)

基于卡尔曼滤波的GNSS卫星导航PVT解算例程，实测可用。输入参数为至少四颗卫星的XYZ坐标和伪距，输出结果为接收机经纬度值。(GNSS satellite navigation PVT Calman filter solution based routines, can be measured. The input parameters for the XYZ coordinates of at least four satellites and pseudo distance, the output for the receiver latitude and longitude value.)

The “INVERTED PENDULUM, ANALYSIS, DESIGN AND IMPLEMENTATION” is a collection of MATLAB functions and scripts, and SIMULINK models, useful for analyzing Inverted Pendulum System and designing Control System for it.

二元CPFSK的 不开根升余弦成型函数调制及解调, 解调法采用了8倍采样的最终点解调.(Binary CPFSK not open root raised cosine shaping function of modulation and demodulation, the demodulation method using 8 times the final sampling point of demodulation.)

遗传算法程序最新版，可以提供不同的算子并且有多目标优化功能(呾Yang疻for the most唗Recent ㄛ唳terrace you can feed Andrew filthy cavity呾email people bleed at the nose of sweet sweet wine Catalpol Blue Pro Kun Zhao Kui)

MATLAB源码，preprocessing.m: preprocess the picture including:Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m: input the source picture output the core point of the fingerprint. samfun.m: generate the sample pattern automatically, which is used to sample the fingerprint. gabor2d_sub: get gabor filter. varpic.m: calculate variance picture(MATLAB source, preprocessing.m : preprocess the picture including : Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m : input the source picture output the core point o f the fingerprint. samfun.m : generate the sample pattern automatically, which is used to sample the fingerprint. gabor2 d_sub : get gabor filter. varpic.m : calculate variance picture)

这是清华大学周红星教授关于时频分析的精彩论述！(This is the Tsinghua University, Professor Zhou Hongxing on time-frequency analysis of the wonderful discussion!)