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SVDD的工具箱，可以很好的处理一类分类问题，详见Support Vector Data Description一文(SVDD tools，can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Description")

matlab simulink 模块的封装方法，可自定义模块(matlab simulink module encapsulation method, you can customize the module)

Air traffic controller

混凝土单轴滞回本构 钢筋滞回本构 可用于ABABQUS子程序材料(concrete02 and steel02 for ABAQUS)

可用于数字信号处理中使用MATLAB设计的学习的四个实验,包括了FIR，IIR，FFT的设计学习(Can be used for digital signal processing designed to learning MATLAB four experiments, including FIR, IIR, FFT design study)

tag big data in matlab

This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. (The random walker algorithm was introduced in the paper: Leo Grady and Gareth Funka-Lea, Multi-Label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , in Proceedings of the 8th ECCV04, Workshop This is a beta version of the superpixel code. It hasn t been thoroughly tested on different architectures. It was tested on a Linux system with Matlab 7.1, with gcc and g++ compilers. )

fast fixed-point ICA算法的Matlab实现(fast fixed-point algorithms ICA Matlab)

一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。(Image Compression A collection of simple routines for image compression using different techniques. BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function "conv2fft" performs a 2D FFT-based convolution. Type "help conv2fft" on Matlab command window for more informations.)

这个程序主要用来处理图像信噪比、均值、中值、维纳滤波等(This program is mainly used to process the image signal to noise ratio, mean, median, Wiener filter, etc.)