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matlab-PLL

于 2014-10-31 发布文件大小:3829KB

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MATLAB锁相环仿真模型，功能齐全，保证精品，(MATLAB simulation phase-locked loop)

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DSP course lab1_discussion_question

2011-11-07 23:45:55下载

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说明：该代码用遗传算法来优化多函数极值问题，可以很方便的解决非线性方程的极值(The code using a genetic algorithm to optimize multi-function extremum problem can easily solve nonlinear equations extremum)

2013-04-05 21:01:08下载

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2012-01-26 01:44:41下载

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2009-05-06 23:23:44下载

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A motion picture presents a continues phenomena as a sequence of frames. We perceive continuity by "filling in the gaps" and "smoothing out " the missing information. While faster motion requires more frames during a given time period, there is a point where more frames per second yield no further improvement. The "sampling speed" must be fast enough to allow "appropriate averaging of dead times between frames", but need not accommodate motion too fast to be seen by a human. The above description is somewhat analogous to sampling of audio signals. The sampling rate depends on how fast the signals vary (the highest frequency we hear). Nyquist showed that sampling frequency exceeding twice the audio bandwidth is sufficient to include all the signal information, preserving the finest details up to half the sampling rate

2012-05-27 18:27:12下载

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神经网络
说明： BP神经网络的仿真，能够拟合各种函数，支持梯度下降法和LM两种训练算法。所有代码自己编写，没有使用matlab自带的函数，是学习的最佳范本。(The simulation of BP neural network can fit various functions and supports two training algorithms, gradient descent method and LM. All the code is written by myself, without using the functions that come with matlab, it is the best model for learning.)

2020-08-02 15:47:22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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matlab仿真的频率捷变雷达信号，进行了时域显示和脉压分析，适用于对雷达信号处理学习的同学。(matlab simulation of frequency-agile radar signals for display and pulse time-domain analysis for radar signal processing for the students to learn.)

2021-04-10 21:08:59下载

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2012-04-24 10:35:21下载

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matlab-PLL

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