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Kalmanfilter
Kalman Filter : Simple simulink example
- 2010-06-05 13:36:17下载
- 积分：1
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LFModulation
一个线性调频的信号仿真程序，大家试一试吧(A linear FM signal simulation program, we try it)
- 2011-04-21 17:10:48下载
- 积分：1
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armadj
用于时间序列ARMA模型定阶程序,效果还可以，供大家参考！(a program for Time Series ARMA model order determination)
- 2012-05-08 20:59:14下载
- 积分：1
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Bayes-matlab-
MATLAB 模式识别的小程序，最小错误率Bayes分类器的设计与检验等(MATLAB pattern recognition applet, Bayes minimum error rate classifier design and inspection)
- 2011-07-06 20:58:19下载
- 积分：1
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Proficient-in-MATLAB-optimization
精通MATLAB最优化计算一书源码。很多算法，值得拥有。(Proficient in MATLAB optimization
)
- 2013-04-08 22:59:34下载
- 积分：1
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zhenxinzixiangguan
说明： 如何在函数中加入一个正弦信号，求它和高斯噪声的相关性以及自相关(how to insert noise,and how to how the correlation with goss noise)
- 2011-03-16 15:20:42下载
- 积分：1
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thresholding_2006-6pp
image segmentation in matlab ppt.. source unknown
- 2012-07-17 13:13:58下载
- 积分：1
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PCA_tutorial
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar.
- 2014-10-09 05:08:06下载
- 积分：1
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Matlab-extracted-pulse-parameters
利用Matlab编程，从脉搏波频谱中获取与人体生理病理相应的信息特征，实现了参数提取的程序化，取代了人工读图的过程。(Matlab programming from the pulse wave spectrum to obtain the appropriate information and human physiological and pathological characteristics, parameter extraction procedures, replacing the manual digitizing process.)
- 2013-04-29 15:14:11下载
- 积分：1
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test6
说明： matlab实验 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。
如果作2或4次多项式拟合，结果如何？
(matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result?)
- 2010-04-22 20:27:58下载
- 积分：1
