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matlabSA
说明： matlab
模拟退火算法
内含遗传算法及迭代过程(simulated annealing algorithm matlab implicit and iterative process of genetic algorithm)
- 2009-08-18 17:00:28下载
- 积分：1
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MATLAB
布丰投针的函数，蒙特卡洛方法求解pi的近似值(Buffon cast pin function Monte Carlo method for solving an approximation of pi)
- 2012-06-25 16:45:33下载
- 积分：1
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Dean_PLL_2nd_loop_filter_org
Dean 的PLL Performance,Simulation and Design 这本书里2nd 滤波器PLL求解的matlab程序(Dean of the PLL Performance, Simulation and Design This book 2nd PLL filter matlab program to solve the)
- 2010-09-15 00:13:10下载
- 积分：1
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RK4
using Matlab prepared by the four bands Runge-Kutta procedure
- 2011-08-03 14:04:16下载
- 积分：1
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snake_m
snake 算法 matlab源码
snake 算法 matlab源码(snake algorithm matlab source code
snake algorithm matlab source code)
- 2011-11-18 14:22:26下载
- 积分：1
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MATLAB-for-Engineers
MATLAB在工程方面编程的书籍，第三版，内容比较详细(MATLAB for Engineers )
- 2015-03-31 11:38:24下载
- 积分：1
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threephasefull
Three phase full wave rectifier simulation using matlab, simulink
- 2014-01-29 17:50:15下载
- 积分：1
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GSP-theory-and-simulation-matlab
电子科技大学出版的GSP信号及其matlab仿真书籍(University of Electronic Science and Technology, published matlab simulation of signal and its GSP)
- 2011-05-31 11:07:31下载
- 积分：1
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fangzhen
实验一 双极性矩形随机信号的归一化功率谱密度一
1.1 功率谱密度简介
平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。
随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为：
式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即
虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即
和
对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。
1.2 实验要求
1.了解平稳随机信号功率谱的概念及计算方法
2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度
3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息
(A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)
- 2014-11-30 20:39:29下载
- 积分：1
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SAX
自己开发的Symbolic Aggregate Approximation(SAX)matlab工具箱。写了GUI界面。内附教程。(Develop their own Symbolic Aggregate Approximation (SAX) matlab toolbox. Write a GUI interface. Included tutorial.)
- 2021-04-12 11:28:57下载
- 积分：1
