空时分集Alamouti方案的matlab程序，还附有一个说明文档。对于理解STC很有帮助。...

matlab 二维高斯椒盐噪声去噪 基于小波变换的图像去噪滤波(matlab )

In this program we demonstrate the MP, OMP, WMP, and Thresh algorithm, by running them on a set of test signals and checking wether they provide the desired outcome

自己写的提取音频信号mfcc参数的算法，用matlab实现，欢迎大家参考(Write their own audio signal MFCC extraction algorithm parameters, using matlab to achieve, welcome to the reference)

FDTD TMz_with_different_PMLs

开环充电机仿真图，看了这图你就会做充电机了(Open-loop simulation diagram charger, read this plan you will do a charger)

标准粒子群优化算法的程序。运用matlab编写。(Standard particle swarm optimization procedures. Using matlab prepared.)

基于分段非线性权重值的Pso算法，最小二乘回归分析算法，是小学期课程设计的题目，外文资料里面的源代码，包括调制，解调，信噪比计算，对于初学matlab的同学会有帮助。

CODIGO ASSEMBLER Y DIAGRAMA ELECTRICO DE UN ROBOT RASTRERO CON MICROCONTROLADOR

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采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )