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EAX
edge Assembly Crossover
- 2010-11-12 16:38:29下载
- 积分：1
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viterbi
说明： viterbi 解码程序，用matlab编写。希望对大家有用。(viterbi decoding process, using matlab write. Hope to be useful.)
- 2010-04-12 13:23:43下载
- 积分：1
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repliement
Program of signal processing
- 2013-09-17 02:35:37下载
- 积分：1
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SVD.gz
奇异谱分解技术，与相空间重构相结合，对信号进行降噪处理(Singular spectrum analysis technology, combined with the phase space reconstruction of signal noise reduction)
- 2015-05-07 17:33:53下载
- 积分：1
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CHAP_03
这是MAtlab与DSP应用中的第3掌的例子程序(This is the Matlab and DSP applications, the first example of the procedure in charge of 3)
- 2007-11-16 16:04:27下载
- 积分：1
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matlab6
MATLAB代数方程的求解、无约束最优化问题求解、有约束最优化问题的计算机求解、整数规划问题的计算机求解(MATLAB for solving algebraic equations, problem solving unconstrained optimization, constrained optimization problems by computer, integer programming problem by computer)
- 2009-11-16 09:53:06下载
- 积分：1
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fun_huiyu
灰色预测法，灰色预测使用的数据小预测精度高，(Gray prediction method, high prediction accuracy of the data small gray prediction to use,)
- 2014-09-01 21:01:39下载
- 积分：1
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Newton
内含Newtonback.m，Newtonforward.m文件，牛顿插值法，向前向后插值。(Intron Newtonback.m, Newtonforward.m documents, Newton)
- 2008-06-04 22:35:28下载
- 积分：1
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Advanced Filter Design using MATLAB
AFD - Advanced Filter Design using MATLABMiroslav D. Lutovac, Dejan V. Tosicversion 1.00 released 15 October 1999This program is freeware.Unpack with path names, for exampleDOS: pkunzip -d afdunix: unzip -L afdAfter unpacking afd.zip, and run MATLAB,change directory to afdfrom the MATLAB command window.Execute demoafd to quickly scan the AFD operation.(AFD- Advanced Filter Design using MATLABMiroslav D. Lutovac, Dejan V. Tosicversion 1.00 released 15 October 1999This program is freeware.Unpack with path names, for exampleDOS: pkunzip-d afdunix: unzip-L afdAfter unpacking afd.zip, and run MATLAB,change directory to afdfrom the MATLAB command window.Execute demoafd to quickly scan the AFD operation.)
- 2005-05-12 21:23:01下载
- 积分：1
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Concha_CF
【转】协同过滤代码，用于推荐系统，包括基于项目和基于用户两种情况。实现基于用户和基于项目的协同过滤算法。 实验所用数据为MovieLens – a web-based movies recommender system with 43,000 users & over 3500 movies. 保存在ga.mat文件用，由于ga.test测试集过于庞大，全部用来计算的话耗时庞大，所以每次计算时随机选择部分，具体函数的使用请参照probar.m。我所得到的实验结果保存在results1-results8.mat里面。([Turn] collaborative filtering code for the recommended system, including project-based and user-based two cases. User-based and project-based collaborative filtering algorithm. Experimental data for MovieLens- a web-based movies recommender system with 43,000 users & over 3500 movies. Saved in ga.mat file with Because ga.test test set is too large, all used to calculate the time-consuming massive, so every time The calculated random selection portion, the use of the specific function, please refer to probar.m. I obtained experimental results are saved inside results1-results8.mat.)
- 2012-10-15 14:24:42下载
- 积分：1
