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HybridBody
复杂的卡尔曼滤波例子,跟踪物体穿越空中大气层 (Hybrid extended Kalman filter example.Track a body falling through the atmosphere.)
- 2011-07-08 08:53:50下载
- 积分：1
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Basic_DSP
基本的数字信号处理matlab源代码，包括IIRdemo.m，nyquist_aliasaudiodemo.m，sinfreqdemo.m等(Basic digital signal processing matlab source code, including IIRdemo.m, nyquist_aliasaudiodemo.m, sinfreqdemo.m etc.)
- 2014-02-17 00:23:49下载
- 积分：1
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yiqun
说明： 用MATLAB写的蚁群算法实现蚁群算法基本功能，希望对大家有用。(Written by ant colony algorithm using MATLAB to achieve the basic function of ant colony algorithm, i hope it is useful to you.)
- 2010-04-08 22:56:12下载
- 积分：1
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lms_flp32
TigerSharc TS201 floating point lms filter routine(TigerSharc TS-201 floating point lms filte r routine)
- 2006-11-06 22:42:57下载
- 积分：1
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ex9
说明： 熟悉MATLAB信息统计分析的各种命令；会用MATLAB的信息统计分析的命令进行各种信息统计分析。(Familiar with a variety of statistical analysis of MATLAB command information will use the information MATLAB commands statistical analysis statistical analysis of all kinds of information.)
- 2011-03-23 13:56:59下载
- 积分：1
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123
说明： 1.进行傅立叶变换
2.采用双循环处理图像噪声
3.逆变换输出图像(1. Fourier transform 2. With double loop handle image noise 3. Inverse transform the output image)
- 2011-04-05 21:03:42下载
- 积分：1
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qiuganlqr
球杆程序 编写的相应程序，一级倒立摆的相关程序，仿真结果(Club program Related procedures, the preparation of the corresponding procedures, an inverted pendulum simulation results)
- 2012-04-27 17:10:11下载
- 积分：1
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fft-(2)
自编的快速傅里叶变换的matlab程序，已经经过调试了，是可用的(Self matlab program fast Fourier transform, has been debugged, it is available)
- 2012-05-24 15:29:35下载
- 积分：1
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PostureUpdate
四元数更新在matlab中的实现，包括采样、更新四元数、规范化、得到姿态角(Quaternion update)
- 2013-04-11 11:26:05下载
- 积分：1
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adaboost_version1e
这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。
功能包括两部分一个简单的弱分类器和一个促进部分:
弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1
要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器”
(This a classic AdaBoost implementation, in one single file with easy understandable code.
The function consist of two parts a simple weak classifier and a boosting part:
The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1
The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier"
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)
- 2012-04-23 13:17:57下载
- 积分：1
