代码搜索：Matlab仿真

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/197108/8028939

m speedup3.m

function Speedup3 % Speedup3.m % 功能：比较具有相同功能的自定义函数与MATLAB内部函数的运行速度 % % 加快MATLAB执行程序的方法之三：尽量使用MATLAB内部函数（包括各种工具箱函数） % % Author: HUANG Huajiang % Copyright 2003 UNILAB Research Center, %
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www.eeworm.com/read/297283/8033130

txt 说明.txt

matlab模拟产生中心应力集中光学条纹图，该程序可用来得到其巨齿包裹图，条纹中心线图。
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www.eeworm.com/read/197055/8033159

c showdata.c

/* * MATLAB Compiler: 3.0 * Date: Thu Jun 21 22:06:04 2001 * Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on" * "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
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c showdata.c

/* * MATLAB Compiler: 3.0 * Date: Fri Jun 22 08:45:52 2001 * Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on" * "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
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c mrandplot.c

/* * MATLAB Compiler: 3.0 * Date: Fri Jun 22 20:33:38 2001 * Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on" * "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
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www.eeworm.com/read/196899/8050531

dat bookinfo.dat

[General Information] 书名=现代通信系统：应用MATLAB 作者= 页数=428 SS号=11039085 出版日期=
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www.eeworm.com/read/196844/8054850

txt~ readme.txt~

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details. This version was last updated on 5 May 2004. Installation ---------
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txt readme.txt

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Installation ------------ 1. Install netlab from http://www.ncrg.a
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www.eeworm.com/read/196814/8058828

m rand.m

%R=rand(m,n) 生成(0,1)上均匀分布的m行n列随机矩阵 %RAND Uniformly distributed random numbers. % RAND(N) is an N-by-N matrix with random entries, chosen from % a uniform distribution on the interval (0.0,1.0
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www.eeworm.com/read/296717/8080537

txt readme.txt

Kalman filter toolbox written by Kevin Murphy, 1998. See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details. Installation ------------ 1. Install KPMtools from http://www.ai.mit.edu/~mu
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