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LABEX4
Illustration of Circular Shift of a Sequence
- 2010-11-10 13:41:47下载
- 积分:1
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RobotsLoc
Short M-LAb robotics localize
- 2013-12-25 06:03:30下载
- 积分:1
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modulation
This file contain several functions for digital modulation simulation.
- 2010-01-08 19:22:42下载
- 积分:1
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MOGASC
说明: 用Matlab实现多目标遗传算法的源代码(Multi-objective genetic algorithm source code)
- 2010-05-02 14:26:45下载
- 积分:1
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qiaodu_matlab
该程序是matlab代码编写。其内容为一种改进的基于峭度的盲源分离开关算法。可用于语音信号处理及数字图像处理等领域。(Matlab code of the program is written. It contains an improved kurtosis-based blind source separation algorithm switch. Can be used for voice signal processing and digital image processing and other fields.)
- 2011-07-17 21:54:47下载
- 积分:1
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ppln-matlab
飞秒光参量放大中信号放大效率随器件长度变化的matlab代码(Femtosecond optical parametric amplification efficiency of signal amplification device length changes with matlab code)
- 2013-09-14 00:04:35下载
- 积分:1
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matlab_bgl-4.0.1
复杂网络的介数求解,复杂网络,介数,matlab (Betweenness solving of complex networks, complex networks, the number of referrals, matlab)
- 2013-05-20 18:13:22下载
- 积分:1
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bpnn
MATLAB neural network backprop code
This code implements the basic backpropagation of
error learning algorithm. The network has tanh hidden
neurons and a linear output neuron.
adjust the learning rate with the slider
- 2013-01-02 18:00:13下载
- 积分:1
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RIng-resonator-modelling
This form my publication about respon of ring resonator to be used gyroscope. to improve more detail please search my paper which this key " Analysis Of A Fiber Optic Gyroscope Based On Ring Resonator "
- 2012-03-28 01:10:35下载
- 积分:1
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rtejfgds
现有的代数特征的抽取方法绝大多数采用一维的方法,即首先将图像转换为一维向量,再用主分量分析(PCA),Fisher线性鉴别分析(LDA),Fisherfaces式核主分量分析(KPCA)等方法抽取特征,然后用适合的分类器分类。针对一维方法维数过高,计算量大,协方差矩阵常常是奇异矩阵等不足,提出了二维的图像特征抽取方法,计算量小,协方差矩阵一般是可逆的,且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)
- 2020-08-14 13:28:28下载
- 积分:1