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一个PCA的Matlab程序实例，应用于多维参数的自动降维和分类(The Matlab program example of a PCA applied to the automatic multi-dimensional parameter dimension reduction and classification)

说明：  基于matlab的MIMO信道容量的仿真程序，针对原来的程序略微做了些修改，可运行。(Based on the MIMO channel capacity matlab simulation program for the original program made some slight changes, you can run.)

学会MATLAB编程； 学会用单纯型法求解线性规划； 学会用对偶单纯型法求解线性规划；(Institute of MATLAB programming learn how to use simple method to solve linear programming learn how to use dual simplex method to solve linear programming )

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数字水印嵌入和提取算法 包含时空域和变换域的算法的matlab实现(Airspace and transform domain algorithm matlab achieve the digital watermark embedding and extraction algorithm contains)

Finite Volume Poisson PDE Solver

几种常见混沌时间序列matlab实现 1)chua flow 2)duffing flow 3)Rossler flow 4)Lorenz flow 5)ikeda flow 6)Mackey_Glass flow 7)logistic map 8)henon map 9)Quadratic map(二次图) 也欢迎大家提供更多的混沌方程或映射的经典matlab实现。 (several common chaotic time series to achieve a Matlab) chua flow 2) duffin 3 g flow) Rossler flow 4) Lorenz flow 5) ikeda ss w 6) 7 Mackey_Glass flow) Logistic map 8) henon m ap 9) Quadratic map (Second) of welcome we provide more chaotic or mapping equations by the Code Implementation of Matlab.)

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人工免疫算法的源程序，使用MATLAB语言实现(The source program of the artificial immune algorithm, implemented in MATLAB language)

Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised. It is not highly optimised - e.g. the symmetries are not used to reduce the computation. It is recommended that convolutions with these masks are done using CONVOLVE2 (available from Matlab File Exchange) to take advantage of their low rank. (Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised. It is not highly optimised- e.g. the symmetries are not used to reduce the computation. It is recommended that convolutions with these masks are done using CONVOLVE2 (available from Matlab File Exchange) to take advantage of their low rank. )