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XILINX
not so good BPSK software matlab
- 2009-07-14 19:46:09下载
- 积分：1
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dpsk
说明： 此为MATLAB写的关于2DPSK调制解调的程序并且通过验证可以实现，程序对2DPSK的算法都有相应的程序(This is written in MATLAB on 2DPSK modem to verify the procedure can be achieved through the procedures of the algorithm 2DPSK procedures have corresponding)
- 2009-08-22 13:21:19下载
- 积分：1
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proposals
ECCV 2010 paper "Category Independent Object Proposals"的实现。(ECCV 2010 paper "Category Independent Object Proposals" code)
- 2012-04-02 16:15:17下载
- 积分：1
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numerical-intergration
数值积分各种经典算法的matlab程序实现(matlab codes for classical methods of numerical intergration)
- 2011-10-06 16:51:19下载
- 积分：1
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给学生参考程序2018408
说明： 1. 列出简单脉冲调制信号数学模型
2. 利用MATLAB软件编写雷达信号产生程序
3. 对信号进行频谱分析
4. 记录仿真参数和结果、存储仿真波形。(1. List the mathematical model of simple pulse modulation signal.
2. Programming Radar Signal Generation Program with MATLAB Software
3. Spectrum analysis of signals
4. Record simulation parameters and results, and store simulation waveforms.)
- 2019-04-09 13:28:11下载
- 积分：1
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Chapter4_edu
it is about power electronics for the student from university lecture notes last lesson...
- 2010-09-03 07:46:48下载
- 积分：1
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7-2
exresice of marcel sidi
- 2013-09-07 19:37:21下载
- 积分：1
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nengliangdiejia
一种有效地能量叠加方法，应用在matlab环境下，对地震信号处理十分有效( kind of effective energy superposition method, the application in the matlab environment, the seismic signal processing is very effective
)
- 2013-10-06 20:45:32下载
- 积分：1
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MATLAB_Codes
这是《Matlab数字图像处理》这本书的源码。(This is the source of "Digital Image Processing in Matlab " )
- 2010-07-31 19:44:04下载
- 积分：1
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stprtool
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines(
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm )
- 2009-03-13 17:03:40下载
- 积分：1
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