搜索：AlgorIThm - 虫虫下载站

matlab例程  RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm

RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm

https://www.eeworm.com/dl/665/299678.html

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STL STL风格LCS算法 STL style LCS algorithm

STL风格LCS算法 STL style LCS algorithm

https://www.eeworm.com/dl/658/299794.html

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其他  The construction of data algorithm with applies the -C++ language description

The construction of data algorithm with applies the -C++ language description

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matlab例程  Spatial Outlier Detection Algorithm by Matlab

Spatial Outlier Detection Algorithm by Matlab

https://www.eeworm.com/dl/665/301492.html

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单片机开发  Bubble Oscillation Algorithm. It is used to implement balancing load traffic, which is similar to wh

Bubble Oscillation Algorithm. It is used to implement balancing load traffic, which is similar to what a semi-smart antenna can do. This algorithm was figured out by Lin Du who obtained PHD in Queen Mary, University of London.

https://www.eeworm.com/dl/648/301914.html

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Java编程  用Java编写的maximum contiguous subsequence sum algorithm 实现, 希望对大家有所帮助

用Java编写的maximum contiguous subsequence sum algorithm 实现, 希望对大家有所帮助

https://www.eeworm.com/dl/633/302926.html

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matlab例程  I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embed

I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.

https://www.eeworm.com/dl/665/303147.html

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数值算法/人工智能  / / A Function Optimizer using Simple Genetic Algorithm / / developed from the Pascal SGA code

*/ /* A Function Optimizer using Simple Genetic Algorithm */ /* developed from the Pascal SGA code presented by David E.Goldberg */ /* 同济大学计算机系王小平 2000年5月

https://www.eeworm.com/dl/518/303624.html

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matlab例程  ％ EM algorithm for k multidimensional Gaussian mixture estimation ％％ Inputs: ％ X(n,d) - input da

％ 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) ％ ...

https://www.eeworm.com/dl/665/303904.html

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加密解密  Tasks Read the textbook about the details of Vigenére Cipher. Implement the algorithm by C or C++.

Tasks Read the textbook about the details of Vigenére Cipher. Implement the algorithm by C or C++. Requirements You do this lab in a group of two students. Your program should have input and output as follows: csci>a.out --> Please input the key: receptive --> Please input the plain text: wearedis ...

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