matlab

matlab数字图像处理中的自适应中值滤波函数（.m）(adaptive median filter function file in matlab)

finding dwt using averaging

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

说明：  Simple generic algoritm using MATLAB

说明：  MATLAB图像处理工具箱提供了灰度调整函数imadjust()，可以将图像的灰度值调整到一个指定的范围(MATLAB image processing toolbox provides a grayscale adjusting function imadjust (), you can adjust the gray scale image to a specified range)

Laser tube over heat protect

DQPSk调制过程 解调过程 系统误码率 matlab程序(Modulation process DQPSk BER demodulation matlab process procedures)

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

我写的用于绘制绘制矩阵图形的小程序，要求matlab版本在6.0以上。(I write for rendering graphics rendering matrix of small procedures, requirements in Matlab version 6.0 and above.)

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