colour1

Galerkin方法,这是一种真正的无网格方法.这种方法采用移动最小二乘函数采近似解变量,并且采用移动最小二乘近似函数的权函数作为加权残值法的权函数.文中对形成的离散动力学方程用Newmark方法求解(Galerkin method, this is a real meshless method. This method adopts moving least squares in function approximation solution variables, and adopts moving least squares approximate function of weight function as a weighted residual method of weight function. In the paper, the discrete dynamic equation formed with Newmark method to solve)

Create a video file, by continuously reading an image from url (Create a video file, by continuously reading an image from url)

压缩感知 重构算法 迂回式匹配追踪 论文 附带 matlab代码(Compressed sensing reconstruction algorithm matlab code circuitous track comes with matching paper)

make gear toentation the image segm

滤波器的设计和实现，可以观察程序的结果，来看滤波效果，很好的学习资料(design filter)

说明：  自己设计的LT数字喷泉码（信道编码）的解码和测试程序。(Of their own design LT digital fountain codes (channel coding) decoder and test procedures.)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

CMA 盲均衡算法代码 采用QAM调制信号(CMA，blind equalizer with QAM)

说明：  这个是一个关于ofdm的程序，里面有很重要的东西，希望大家多看看！(This is a study on the OFDM procedures, there are very important things, I hope we see more!)

Cycle slip probability of the phase unrapping algorithm(Cycle slip probability of the phase unrapp ing algorithm)