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7fskkiii
说明: matlab dct-lms自适应算法仿真例子,该例子做了dct-lms和lms的比较。(Matlab Extra-LMS adaptive algorithm simulation example, the example done Extra-LMS and LMS comparison.)
- 2006-03-26 16:45:20下载
- 积分:1
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bisect
This is the bisection method for solving an equation f(x)=0
- 2012-03-23 07:29:39下载
- 积分:1
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GHT1
该程序主要是比较对信号分别进行希尔伯特变换HT和广义希尔伯特变换GHT所得到瞬时相位的比较,结果证明GHT较HT对信号有较好抗噪特性,同时瞬时相位也可以用来重构信号,但主要起了指示的作用。(We can get instantaneous phase of the signal by HT or GHT,and the results prove that GHT has better noiseproof feature,namely robustness than HT.In the meantime,we could restruct signal using the information of instantaneous phase,but it mainly has good directives roles.)
- 2011-08-13 10:27:52下载
- 积分:1
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Articles_of_programing_by_Matlab_and_VC
Matlab与VC混合编程技术精华收集以及我自己的总结"w-”开头的文章都是我自己总结的,看了一定可以搞定混合编程问题。(Matlab and VC mixed programming technology essence collection and my own conclusion "w-" the beginning of the article I summed up all the reading will be able to get mixed programming problems.)
- 2007-03-22 18:14:59下载
- 积分:1
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ica
fastica算法,去除眼电,实现对脑电的去噪处理(fastica algorithm to remove the EOG)
- 2020-09-20 15:17:53下载
- 积分:1
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2010-matlab-5
2010 数学建模大赛 赛前matlab培训5(2010 Mathematical Contest in Modeling Training (numerical entry) lecture 5.zip)
- 2013-11-11 23:26:31下载
- 积分:1
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Hea
Harmony Element Algorithm for function optimization with GUI
- 2012-01-02 02:11:48下载
- 积分:1
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lorenz
lorenz吸引子的画法,及其动态movie的画法。(Lorenz attractor painting method, and its dynamic movie of the painting.)
- 2007-10-28 09:29:28下载
- 积分:1
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desc
最速下降法 求极小值问题的程序示例 其中包含三个函数(Steepest descent procedure for seeking the minimum value problem examples)
- 2009-11-06 12:33:13下载
- 积分:1
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MRF-for-Vision-and-Image-Processing
计算机视觉大牛Andrew Blake著的书。
《视觉和图像处理中的马尔科夫随机场》
Markov random fields for vision and image processing(This book sets out to demonstrate the power of the Markov random field (MRF) in vision.It treats the MRF both as a tool for modeling image data and, coupled with a set of recently
developed algorithms, as a means of making inferences about images. The inferences concern underlying image and scene structure to solve problems such as image reconstruction,
image segmentation, 3D vision, and object labeling. This chapter is designed to present some of the main concepts used in MRFs, both as a taster and as a gateway to the more
detailed chapters that follow, as well as a stand-alone introduction to MRFs.)
- 2013-04-15 22:56:37下载
- 积分:1