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jpeg中用到的 huffman 编码MATLAB程序 参考(jpeg which uses Huffman coding procedures, MATLAB)

LEACH matlab编写LEACH matlab编写LEACH matlab编写(LEACH matlab prepared LEACH matlab prepared LEACH matlab prepared)

本程序对于 循环统计量中存在的直扩信号进行检测，效果很好(This procedure for the circulation statistics that exist in DSSS signal detection, the effect of good)

Animation shows particle motion along the helix. Main file is MotionOnHelix.m This is example how Matlab can be used for educational purposes, for teaching multivariate calculus.

Matlab Image processing ztransformLPF

Matlab实现通过优化多项式实现矩阵逼近源代码.附件中的代码通过多项式优化实现矩阵逼近算法。(Matlab achieve by optimizing polynomial matrix approximation of the source code and the code contained in the annex to achieve matrix approximation by polynomial optimization algorithm.)

说明：  真对无线通信中的正交频分复用的matlab仿真源代码。(True for wireless communications in orthogonal frequency division multiplexing matlab simulation source code.)

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) )

generates the output sequence of a binary convolutional encoder G : N x LK Generator matrix of a convolutional code K : Number of input bits entering the encoder at each clock cycle. input: Binary input sequence state: State of the convolutional encoder termmode= trunc for no termination with all-0 state Copyleft: Won Y. Yang, wyyang53@hanmail.net, CAU for academic use only X = Known frequency-domain training symbol y = Time-domain output of the channel H_est = Estimate of the channel response

raw图像格式与bmp图像格式的转换，matlab实现，具体参数详见m文件(raw image format and bmp image format conversion, implementate by matlab, the specific parameters detailed in m file)