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MUSIC
MUSIC算法原理及其Matlab仿真.设有m个阵元，p个信号源，x(n)为观测数据,令其特征值分解,然后把特征矩阵U的列向量分为信号特征向量和噪声特征向量(MUSIC Algorithm and its Matlab simulation. With one array element m, p a signal, x (n) for the observed data, so that it eigenvalue decomposition, and then the column vector of characteristic matrix U eigenvectors into signal and noise characteristics vector)
- 2011-04-26 10:56:54下载
- 积分：1
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Cellborderdetecting
Cell border detecting
- 2007-03-08 10:39:40下载
- 积分：1
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S-I-F-T_YantaoNoemie
基于matlab实现sift描述符程序，经测试可用，效果有待提高！(achieve sift descriptor， program has been tested and is available, the effect needs to be improved!)
- 2012-05-21 21:20:13下载
- 积分：1
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fuzzy
模糊控制得matlab仿真程序，主要做模糊控制仿真学习使用简单易懂。(Fuzzy control with matlab simulation program, the main job of fuzzy control simulation study using simple to understand.)
- 2009-10-12 21:31:26下载
- 积分：1
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Prob318
P3.18. An analog signal xa(t) = sin (100πt) is sampled using the following sampling intervals. In
each case plot the spectrum of the resulting discrete-time signal.
Ts= 0.1 ms, Ts= 1 ms, Ts = 0.01 Sec
- 2009-04-26 13:58:27下载
- 积分：1
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3D_matrix_decomposition
三维矩阵的特征分解，采用高斯斯密特方法是向(3D Matrix orthogonal decomposition)
- 2011-12-20 09:55:14下载
- 积分：1
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BP
说明： BP算法有详细的注释，数据归一化处理，数据打乱处理，功能强大(BP algorithm has detailed notes, normalization of data processing, data disturb processing, powerful)
- 2015-03-09 21:27:42下载
- 积分：1
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FEM-Analysis
基于线性有限元法（FEM）的二维静态边值问题的求解分析(Solving linear analysis based on the finite element method (FEM) in two-dimensional static Boundary Value Problems)
- 2015-04-06 21:49:59下载
- 积分：1
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bp
说明： 神经网络仿真的相关资料，如果下载的话请回复吧(very good，if you want more，please mail me)
- 2009-07-22 19:05:46下载
- 积分：1
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fractaldim(y-Q-M)
计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M)
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Usage: Computes fractal dimension by box counting(BC) method.
NOTE: Running the code may take a little time, because it calculates
dimensions for all embedding dimensions up to M.
This code is based on an algorithm that constructs a box for the first
observation and for other observations test which it belongs to previous
box(s). If the observation belongs to one of the existent boxes then
increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need
binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)
- 2014-11-30 13:19:02下载
- 积分：1
