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Matlab
说明： 矩正实验室的源代码，包括牛顿迭代法 拉格朗日法 和其他的经典算法(Moment is the laboratory s source code, including the Newton iteration Lagrangian and other classical algorithm)
- 2008-10-23 17:11:10下载
- 积分：1
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costas--m
本程序是用matlab程序语言编写的costas环仿真程序，并对于模拟的costas环的性能进行了分析，costas环主要用于载波同步，本设计实现了对于载波频率跟踪的实现，并且给出图形对比(The program is written in matlab program costas loop simulation program, and the simulated performance of costas loop analysis, costas loop is mainly used for carrier synchronization, the design achieved the realization of the carrier frequency tracking, and gives graphic correlation)
- 2011-05-12 16:21:36下载
- 积分：1
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Image-processing-1
edge detector using Sobel and Gradient Operator in Matlab
- 2012-05-11 16:37:28下载
- 积分：1
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DSSS_system
用Matlab仿真直接序列扩频系统
用Matlab仿真直接序列扩频系统(Matlab program for DSSS system)
- 2012-02-06 16:24:17下载
- 积分：1
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work
matlab的编程实例
内含100个源程序
(matlab programming examples 100)
- 2011-06-29 22:07:05下载
- 积分：1
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matlab-science-calculate
《MATLAB科学计算宝典》一书附录的例程,全程实例解说MATLAB数值计算和数据可视化功能，提高实用经验。包括微分，积分计算，超越方程，混沌，机械振动等的模拟。(matlab science calculate， all sorts of model for science research and so on.)
- 2013-10-16 19:55:36下载
- 积分：1
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adaboost
Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）。
load clouds
[test_targets, E] = lijsada_boost(patterns, targets, patterns, 100, Stumps ,[])
train_patterns 每列为一样本
train_targets 每列为一样本目标
100 :Number Of Iterations
Stumps: Weak Learner Type
Learner s parameters :[]
adaboost +stumps
testRightR = 0.7522(Adaboost is an iterative algorithm)
- 2014-01-20 13:05:34下载
- 积分：1
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scene_text_extraction
说明： 基于场景的文本定位，使用matlab平台进行图像处理(Scene text localization based on the use of image processing matlab platform)
- 2010-04-22 16:30:17下载
- 积分：1
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CaculateNetvalue
计算A加权后的噪声净噪声值并将结果保存到excel文档(Calculate the Netnoise after A-filter and save the result into excel file.)
- 2015-01-04 10:40:45下载
- 积分：1
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SGA2[1].0
GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。
本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；(GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation )
- 2007-10-15 21:15:32下载
- 积分：1
