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Memset_Memcpy_Strcpy
Memset、Memcpy、Strcpy 的作用和区别(Memset, Memcpy, Strcpy distinction between the role and)
- 2010-07-15 14:54:40下载
- 积分:1
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One-dimensional_search_method
说明: 无约束优化问题一维搜索的常用方法:黄金分割法(golden_section.m)、加步搜索法(plus_step_search.m)、牛顿法(newton.m)、抛物线法(parabola.m)(Unconstrained optimization problem of one-dimensional search of the commonly used methods: Golden Section (golden_section.m), plus step-by-step search method (plus_step_search.m), Newton (newton.m), parabola method (parabola.m))
- 2008-12-06 22:24:51下载
- 积分:1
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voice-yuputu
在matlab环境下实现,语谱图时间频率强度的图形描述。语谱图的实现(time frequent stronger)
- 2011-07-04 12:11:56下载
- 积分:1
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Light-Field
光场2D转4D的算法代码,实现从原始光场2D图像中获取4D光场数据,可用于后期的重聚焦等处理(Light field 4D data recovered 2D raw image)
- 2015-05-13 16:02:58下载
- 积分:1
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LPVToolsManual
对LPVTools工具箱进行了详细的说明,很好地掌握LPV控制系统的分析建模和综合。(About LPVTools, benifit for LPV learning.)
- 2021-01-12 16:48:48下载
- 积分:1
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LFC
Develop a model to analyze load flow frequency
- 2012-09-21 01:31:40下载
- 积分:1
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inpainting
For using this code need to use signal toolbox and general toolbox in your matlab
Inpainting using sparse regularization. Consider the pepper image with many missing
pixels.
Assume that the image is noisy-free.
(a) Inpaint the image by using orthogonal wavelet sparsity.
(b) Inpaint the image by using a different sparsity prior.
Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than
other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).
- 2013-12-11 17:30:22下载
- 积分:1
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lte-turbo
针对LTE Turbo的译码程序,以及一个简单但是详实的Turbo译码原理PDF文档。(LTE Turbo decoding procedures, as well as a simple but informative Turbo decoding principles PDF documents.)
- 2012-11-28 22:23:05下载
- 积分:1
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Houghmatlab
包括进行标准Hough变换,检测Hough变换中的n个峰值,并提取峰值直线像素点,绘制直线等(Including the standard Hough transform, Hough transform detection of the n-peak and peak extraction of straight-line pixels and draw a straight line, etc.)
- 2007-10-11 11:06:37下载
- 积分:1
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matlab-work
f=zeros(30,30)
f(5:24,13:17)=1
imshow(f, notruesize )
F=fft2(f,256,256)
F2=fftshift(F)
figure,imshow(log(abs(F2)),[-1 5], notruesize )
- 2010-11-20 17:07:18下载
- 积分:1