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MexDemo
说明： 几个VC++源代码，使用C-MEX文件来实现VC++与MATLAB的混合编程。(Several VC++ source code, the use of C-MEX file to achieve the VC++ and MATLAB programming mixed.)
- 2009-08-21 15:14:27下载
- 积分：1
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0212893728731kalman
基于卡尔曼滤波方法的目标跟踪函数的一种机动目标的预测法(Based on kalman filtering method of target tracking function of a kind of maneuvering target forecast method
)
- 2011-12-06 21:16:33下载
- 积分：1
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commandevictoriellemada
commande vectorielle de Mada
- 2010-12-24 04:32:39下载
- 积分：1
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linkpidsimu
一个运用matlab程序源码，进行模糊PID设计 完整源码。(A program source code using matlab, the fuzzy PID design a complete source code.)
- 2011-04-19 11:44:56下载
- 积分：1
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ANN_matlab
Artificial neural network
activation functions of ANN
- 2011-05-28 15:09:33下载
- 积分：1
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59729
The following Matlab project contains the source code and Matlab examples used for 2 d fir filter design. 2-D zero phase digital FIR filter using Hamming Window
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
- 2014-09-04 00:05:09下载
- 积分：1
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dc-mc
this model simply a shows the variation of dc machine torque and speed when supplied by controlled rectifier in open loop.
- 2014-10-11 13:22:21下载
- 积分：1
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Min-a-Inner-Constraint
This program calculates minimum and inner constraint and plots the ellipsoid error.This is a useful code for solving geodetic networks.
- 2015-01-18 05:56:35下载
- 积分：1
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code
说明： 自适应滤波的MATLAB实现（包括LMS，LRS、NLMS等算法(Adaptive Filtering MATLAB implementation (including the LMS, LRS, NLMS algorithm, etc.)
- 2009-09-02 21:24:15下载
- 积分：1
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Process
Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.
- 2013-01-01 20:25:49下载
- 积分：1
