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hh
说明: 最大熵准则图像分割,matlab程序互相学习一下(Maximum entropy image segmentation, matlab program learn from each other about)
- 2010-04-15 19:28:37下载
- 积分:1
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Matching
虹膜识别的匹配部分,是我从matlab官方网站共享的文件,希望大家能够参考一下(Iris recognition matching part of the official website I shared from the matlab files, hope that we can refer to)
- 2007-11-28 05:48:33下载
- 积分:1
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Imatlabdocn
关于电磁场中用超松弛法求网格电位位的matlab源代码
(Overrelaxation method using electromagnetic fields demand grid potential bit matlab source code)
- 2012-09-09 23:17:36下载
- 积分:1
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tletransform
压缩包中自带资源卫星的tle,用matlab读取并绘制半长轴、轨道倾角、偏心率的变化曲线,观察期变化规律,文件读取的技巧很好!!(Compressed package comes resource satellites tle, using matlab to read and draw the semi-major axis , orbital inclination , eccentricity curve , variation of the observation period , file reading skills well ! !
)
- 2013-11-12 18:53:58下载
- 积分:1
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ebook---Benenti-144--principles_of_quantum_comput
a book of Benenti about quantum information
- 2014-02-15 02:36:16下载
- 积分:1
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CIC
image compression and decompression...
- 2013-04-01 20:15:39下载
- 积分:1
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MUSIC--DOA
基于MUSIC算法的信号DOA估计,内有详细原理等等(DOA of direction based on MUSIC
)
- 2015-01-19 11:46:57下载
- 积分:1
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FSKdemode2
说明: fsk信号的调制与解调,通信领域其他各种调制方式可以参考此文件稍作修改(fsk signal modulation and demodulation, modulation communications can refer to various other minor modifications to this document)
- 2011-03-21 12:40:27下载
- 积分:1
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ekf-and-ukf
本文主要是介绍了EKF与UKF的基本原理及其区别,主要适合讲课和作业运用(This paper introduces the basic principles of its distinction of EKF and UKF for lectures and operating use)
- 2012-09-17 13:59:31下载
- 积分:1
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BP.m
在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方
法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系
统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函
数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。
本章拟合的非线性函 数为
y = x1^2+x2^2.
。
(In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)
- 2014-12-13 21:39:55下载
- 积分:1