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matlab教程，详细介绍Matlab的基础、入门及使用指南。()

说明：  心电图滤波，频谱分析，滤波器设计的参考程序，没有密码，自由下载，欢迎交流。下载后请留言(ECG filtering, spectrum analysis, the reference filter design process, no password, free download, welcomed the exchange. After downloading please leave)

阵列信号处理_空间谱估计原理的一些基本算法——MusicEspritMp(Array signal processing _ the principle of spatial spectrum estimation of some of the basic algorithm- MusicEspritMp)

This is used for contrast streching in an image to improve the image quality.

matlab编写的俄罗斯方块，很简单，但很好玩(matlab prepared by the Russian box, very simple, but very fun)

16QAM仿真系统，学通信实验必备，绝对有用。(16QAM simulation system, learning communication experiment must absolutely useful.)

说明：  使用文本文件(.txt)进行数据存取的技巧总结(Use a text file (. Txt) techniques for data access summary)

说明：  神经网络与matlab7的实现 配套资料下载 .m格式(neural network and the realization matlab7 supporting information downloaded. M format)

用于信号处理中的检测DOA估计，成像，频率估计等(Signal processing for detection of DOA estimation, imaging, frequency estimation, etc.)

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) )