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LSL_m

于 2020-11-01 发布文件大小:1KB

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LSL自适应算法的MATLAB仿真，包括LSL自适应算法的流程仿真，性能仿真，信号模型的构建(MATLAB simulation of LSL)

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NewCrosstalk_f
Matlab code for cross talk.

2009-06-06 13:16:53下载

积分：1
colea
colea程序，处理语音信号的M函数集合，对于学习语音处理有很大帮助(colea procedures to deal with M-function voice signal a collection of voice processing for the study of great help)

2009-06-08 18:20:29下载

积分：1
jarvisHalftone
The code does the halftoning of colored image using the jarvis matrix and displays the halftoned image.

2015-03-29 14:04:57下载

积分：1
IdentifyingRoundObjects
说明：识别飞行的圆形目标，在Matlab下编写，很有参考价值。(circular flight identification, prepared in Matlab, great reference value.)

2006-03-28 22:46:12下载

积分：1
gold-code-31
此列程序产生31位gold码，平衡gold码，是由m序列优选对生成(This column procedure produced 31 gold code, balancing the gold code is generated by the m sequence)

2012-04-07 19:37:06下载

积分：1
Diffusion
Find the diffusivity in images

2011-11-22 01:11:34下载

积分：1
matlab2tikz-matlab2tikz-722609f
matlab2tikz supports the conversion of most MATLAB figures, including 2D and 3D plots. For plots

2015-02-02 19:04:10下载

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Informax_FastICA.rar
一个基于信息最大化的盲信号分离算法，详细的文章可以在网络上搜索。(One based on information maximization algorithm for blind signal separation, detailed article on the network search.)

2009-12-24 15:20:32下载

积分：1
Small-and-weak-target-detection
针对基于可见光视频图像处理的水上弱小目标检测中存在的问题，综述目前该领域的国内外研究进展，从动态背景建模前景目标检测和跟踪等方面分析各种方法算法的优势和不足，指出目前需要解决的问题，并展望该领域的研究前景(In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing，the research advances at home and abroad in this field are summa- rized. The advantages and limitations existing in the methods and algorithms are analyzed from several aspects including dynamic background modeling，foreground target detection and tracking. Problems which need to be solved at present are pointed out，and promising research directions in this field are proposed.)

2011-04-21 17:55:10下载

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xiaobosuanfa
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) )

2011-05-21 16:48:36下载

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