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CDMA-Forward-Link-Simulation
The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data communication from a basestation to a cellular unit. The package simulates an
IS-95CDMA forward link cellular system consisting of 3 major components:Transmitter,
Communication Channel and Receiver.
(The result is an IS-95CDMA forward link software simulation package, which mimics real-time data communication from a basestation to a cellular unit. The package simulates anIS-95CDMA forward link cellular system consisting of 3 major components: Transmitter, Communication Channel and Receiver .)
- 2008-01-02 21:55:40下载
- 积分：1
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huffman_encode
一个简单的对用户定义的字符串创建和可视化哈夫曼编码树的程序(A simple user-defined string to create and visualization procedures Huffman tree)
- 2009-04-01 21:45:53下载
- 积分：1
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svm_v0.55beta
支持向量机,可以在MATLAB环境下运行.(Support Vector Machines can be run under MATLAB environment.)
- 2008-03-23 00:03:58下载
- 积分：1
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coulletdfcctrlsystem
coullet混沌系统，包含DFC控制和绝对值控制(coullet chaotic system, including control and absolute control of DFC)
- 2010-11-19 13:31:46下载
- 积分：1
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TimeOptCargrogReadme
Program
a.
Description: This source code program can produce a minimum-length trajectory for any two configurations.
b.
Size: 28kb
c.
Platform: Matlab 7.1.
d.
Major Component Description: 41 .m files in the folder .Program
- 2012-04-13 11:10:18下载
- 积分：1
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MC
说明： 用于特征选择，尤其是在基因微阵列数据中，利用随机思想(feature selection)
- 2012-04-24 15:39:16下载
- 积分：1
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bssaudio-demo
BSS algorithms by Pham
- 2011-09-19 21:34:09下载
- 积分：1
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Kalman_Fliter
卡尔曼滤波器示例程序，可以自动作出图像。(Kalman Fliter)
- 2012-02-07 15:35:30下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
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％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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MatLab
Matlab工程数学应用，清华大学出版社(Matlab Application Engineering Mathematics, Tsinghua University Press)
- 2011-01-24 16:30:32下载
- 积分：1
