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MATLAB6.5.1
matlab的教学文件 是帮助你学习MATLAB的好文件(matlab teaching file is to help you learn a good document MATLAB)
- 2007-11-22 18:26:10下载
- 积分:1
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osu-svm
支持向量机的演示代码。仿真效果支持向量分类的较好。(SVM demo code. Simulation results support vector classification better.)
- 2007-03-16 10:45:25下载
- 积分:1
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mVmodel
matlab与C的混编,处理乘性噪声,建立M次开根号模型,需要调整参数。(written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".)
- 2013-11-12 22:24:03下载
- 积分:1
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11seed-particle-effect-source
cocos2dx 11种粒子效果源码,cocos2dx 11 seed particle effect source(cocos2dx 11 seed particle effect source)
- 2014-01-08 09:28:39下载
- 积分:1
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TheCarRentalSystem
CRS i.e Car Rental System information
- 2010-09-28 22:04:37下载
- 积分:1
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MatLab_programing
说明: Matlab编程指南,是本人在教学过程中,通过大量的实践,自编的一本讲义,内容通俗易懂,每部分后面添加了很多习题,能够激发学生的兴趣。(Matlab Programming Guide is I in the teaching process, through a lot of practice, the self-a lecture, the contents of user-friendly, each part of the back to add a lot of exercises that can stimulate students interest.)
- 2008-11-22 11:44:13下载
- 积分:1
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_sfprj
LPLL_DPLL_CPLL algorithms
- 2012-04-22 20:48:19下载
- 积分:1
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RDT2.0
基于随机减量法,求解结构的自由衰减曲线,稍作修改即可使用(Based on random decrement method, solving free vibration of curved, slightly modified to use)
- 2015-07-26 12:10:41下载
- 积分:1
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jinzhend
独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医
域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和
究的发展方向,旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)
- 2009-04-11 22:17:46下载
- 积分:1
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Spectral-subtraction
学习并找到降噪方法,对语音信号背景噪声做处理,使得声音更清晰。(The background noise is the most common factor degrading the quality and intelligibility of speech in recordings. Spectral subtraction can lower the noise level without affecting the speech signal quality. In this paper, we have studied and implemented to reduce the background noise of the voice signal, and to make improvements to reduce the background noise of the experiment. Not only with the spectral subtraction of the noisy signal of the transformation, we improve the traditional spectral subtraction based on the introduction of the parameters, by adjusting the parameters(α、β、γ) to achieve better enhancement.)
- 2011-04-20 16:21:17下载
- 积分:1