多抽样率信号处理matlab开发源码

一般来说，matlab中没有现成的工具箱来解决整数规划问题，但可以利用分支界定法来编程实现(Generally speaking, matlab no ready-made kit to solve the integer programming problem, but can use the branch as defined in law to Programming)

matlab主要工具箱函数以及详细注解等等。(matlab toolbox function main, and detailed notes and so on.)

能实现人脸的简单匹配算法，本人亲自测试，还行吧(To achieve a simple matching algorithm, face, OK.)

finite element program to analysis a lot of elements

我采用的帧间差分法是在matlab2012上仿真成功的，从读入视频入手，当然首先你得将一个视频转换为avi格式，我是下载了一个格式工厂转换的，不同视频帧之间进行差分，最后得到结果。

包含deec协议和leach协议的对比，以及改进算法，算法清晰明了，有利于学习和研究，可以仿真出生命周期图，和数据传输对比图。

主要是实现调制识别，区分几种常用的数字调制信号，包括ASK,FSK,PSK,QAM。含有两个文件夹 其一为特征参数的仿真；其二为正确识别率的仿真。 文件夹key feature simulink中： 运行程序会得到各特征参数之间区分图 从图中可看到特征参数的有效性。 文件夹classification rate simulink中： 运行main.m文件 可以得到正确识别率 (Mainly to achieve modulation recognition, distinction of several commonly used digital modulation signals including ASK, FSK, PSK, QAM. One folder contains two characteristic parameters for the simulation second simulation for the correct recognition rate. Folder key feature simulink in: run the program will have the distinction between the characteristic parameters can be seen from the diagram Fig characteristic parameters of effectiveness. Folder in the classification rate simulink: Run main.m file to get the right recognition rate)

双音多频，由高频群和低频群组成，高低频群各包含4个频率。一个高频信号和一个低频信号叠加组成一个组合信号，代表一个数字。DTMF信号有16个编码。利用DTMF信令可选择呼叫相应的对讲机。(Dual tone multi-frequency, high-frequency and low-frequency group composed of groups, high-frequency group contains four frequencies each. A high-frequency signal and a low frequency signal is superimposed to form a combined signal representative of a number. DTMF signal has a 16 code. DTMF signaling to the appropriate use of the intercom call.)

利用MATLAB实现聚类~MATLAB程序~多种方法实现~(Clustering ~ MATLAB using MATLAB program a variety of methods to achieve ~ ~)

将背景音乐（交响乐）中的摩斯电码找出并分离出来(morse_code_sound.wav is a mono (1-channel) 11,025 samples per sec, 16-bits per sample, WAV file. There is a morse code signal within the audio file, you should be able to hear it in the background, but it is not very audible (able to be heard). Write a Matlab program to analyze the wav file and determine the narrow range of frequencies occupied by the morse code sound. Then separate the morse code sound into a separate file and the music into a separate file. Write out the separated morse code and the separated music to separate wav files titled your_name_morse.wav and your_name_music.wav)