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Digital-image-processing(1)
数字图像处理中利用matlab完成图像的傅里叶变换、放大、直方图变换、中值滤波、小波变换基本功能(Digital image processing complete use of matlab image of Fourier transformation, amplification, histogram transform, median filtering, wavelet transform basic functions
)
- 2012-05-18 19:18:13下载
- 积分：1
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dc_motor_psi_vary_n
《MATLAB电机仿真精华50例》源代码 习题源码 直流电动机 mdl(answer key)
- 2015-01-02 00:42:10下载
- 积分：1
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XC3S250E_Lab2_ECS
XC3S250E_Lab2_ECS.rar 高质量学习教程(XC3S250E_Lab2_ECS.rar high-quality learning tutorial)
- 2007-10-23 12:46:56下载
- 积分：1
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BP2
置信传播算法用于无环图时的误码率的检验。(this program is a detection of the BP algorithm error bit when it is used in cycle graphs.)
- 2012-06-07 00:26:14下载
- 积分：1
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Baseband_propagation
Matlab script simulates the propagation of light in multilayered medium
- 2011-08-05 15:32:44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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pipei
图像匹配的Matlab程序，内含模板和匹配图片(Matlab image matching procedures, including templates and matching pictures)
- 2013-12-09 13:14:20下载
- 积分：1
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zixianguan2
基于单项耦合映像格子的时空混沌伪随机序列，自相关函数画图(Single coupled map lattice spatiotemporal chaos-based pseudo-random sequence, the autocorrelation function of drawing)
- 2012-11-23 19:49:35下载
- 积分：1
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mimo信道容量仿真matlab
说明： MIMO信道容量仿真matlab代码，最全的M文件，使用非常棒。(MIMO channel capacity simulation matlab code, the most complete m file, using very good.)
- 2020-04-03 19:49:15下载
- 积分：1
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PCA
PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues of the covariance, the biggest feature is the first in one direction, from and so on.)
- 2011-05-15 00:25:49下载
- 积分：1
