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example qpsk modulation

Sample code for testing OK6410 braod card client/server communication

实现典型相关分析，基于SVPWM的三电平逆变的matlab仿真，基于kaiser窗的双谱线插值FFT谐波分析。( Achieve canonical correlation analysis, Based on SVPWM three-level inverter matlab simulation, Dual-line interpolation FFT harmonic analysis kaiser windows.)

对原始图像在水平方向和垂直方向与2个滤波器(低通、高通)相卷积，可以得到4块面积为原图像1/4的子图，分别为水平方向低频和垂直方向低频(HH)、水平方向低频和垂直方向高频(HG)、水平方向高频和垂直方向低频(GH)、水平方向高频和垂直方向高频(GG)。(The original image in the horizontal direction and vertical direction and two filters (low pass, high pass) with convolution, you can get the original image area of 4 1/4 graph, respectively, horizontal and vertical direction low frequency ( HH), horizontal and vertical high-frequency low-frequency (HG), horizontal and vertical high-frequency low-frequency (GH), horizontal and vertical high-frequency high-frequency (GG).)

这是关于matlab中ica工具箱，本工具箱下载即可方便按照。(This can be convenient in accordance about matlab ica Toolbox, the Toolbox download.)

该算法为基于克隆选择原理的人工免疫算法。算法有三部分，第一部分为传统的遗传算法，第二部分CSA算法，两方法对一些函数求极值，可比较各自的特点。(The algorithm is based on the principle of artificial immune clonal selection algorithm. Algorithm has three parts, the first part of the traditional genetic algorithm, the second part of the CSA algorithm, two methods for some function extreme, can compare their characteristics.)

说明：  matlab code of TV using splitBregman algorithm for image denoising

程序主要是求一段音频数据的基音频率 jiyinzhouqi.m --------求基音周期 find_maxn.m --------求自相关函数的最大值 test2.wav --------程序中用到的示例wav数据文件(The program is mainly the fundamental frequency for an audio data Jiyinzhouqi.m- for pitch period Find_maxn.m- the maximum value of autocorrelation function Test2.wav: the procedures used in the example of wav data file)

雷达课程的作业，在了解雷达原理后，对实际过程的仿真，有Chirp的形成，匹配滤波器，MTI，MTD的具体实现(Concrete realization of radar courses operating in the understanding of the radar principle, the simulation of the actual process, the formation of the Chirp matched filter, MTI, MTD)

粒子群算法，及粒子群与遗传算法混合，求解装配序列规划问题。有系统界面，可运行，并画出适应度曲线。(Particle swarm optimization (pso) algorithm and hybrid particle swarm algorithm and genetic algorithm, to solve the assembly sequence planning problems. A system interface, can run, and draw the curve of fitness.)