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abbr_b11a93e762f6958bb657c1ad7c58d2b5
用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)
- 2010-08-14 20:56:28下载
- 积分：1
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MSCI703_project
this journal is created by Sachin Jayaswal Student ID: 20186226 Department of Management Sciences
University of Waterloo.
it s describe how performances of tabu search and simulated annealing solve the TSP. this journal includes tabu search and SA matlab code to solve tsp.
- 2010-01-04 11:02:03下载
- 积分：1
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1
说明： 这是一篇关于图象中眼睛和嘴巴的检测与定位的文章(This is an image in the eyes and mouth on the detection and location of the article)
- 2010-05-06 19:01:37下载
- 积分：1
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fisher-de-matlab
文本挡的firsher线性判别器是最简单的模式识别分类，在这里用了matlab进行了编程(Text the gear firsher linear discriminant is the most simple pattern recognition classification, where the Matlab programming)
- 2013-05-08 20:31:25下载
- 积分：1
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evim
极值理论中各种函数及图像的程序。matlab实现。(Extreme Value Theory in a variety of functions and process images. matlab achieve.)
- 2020-12-04 14:49:26下载
- 积分：1
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scara_robot
SCARA four DOF planar articulated robot reference
- 2013-10-18 14:52:50下载
- 积分：1
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knn
calssification algorithm
- 2014-11-26 22:10:12下载
- 积分：1
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bilinear
a matlab code for bilinear zooming. by: d m
- 2009-05-18 03:49:53下载
- 积分：1
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jxjff
很好的求解结构动力学方程的程序,很好用的哦(It is a very good matlab programme to solve eqationg )
- 2009-05-19 16:44:46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
