maxmin1

This is an implementation of the Bandelets Transform for image processing purposes

说明：  对matlab如何解决常用数学问题进行总结归类，便于查阅学习( how to solve mathematical problems using Matlab commonly， classified and summarized to facilitate access to learning)

Matlab Hankel变换源代码，可以直接当做MATLAB toolbox来使用( MATLAB toolbox ________________________________________________________ Hankel transform ________________________________________________________ ** Contents 1. Introduction 2. Requirements 3. Implementation details 4. References 5. Copyright 6. Warranty 7. History 8. Download 9. Trademarks ** Publisher Marcel Leutenegger marcel.leutenegger@epfl.ch EPFL STI IOA LOB BM 4.143 Tel: +41 21 693 77 19 Station 17 CH-1015 Lausanne 1. Introduction The Hankel transform of order n transforms rotationally symetric inputs in a computationally efficient manner. In particular, the Hankel transform of order 0 is equivalent to the two-dimensional Fourier transform of a rotationally symetric input. This package contains four implementations of the Hankel transform and the inverse Hankel transform, respectively. 2. Requirements ?MATLAB 6.0 or newer. 3. Implementation details The package ships fou)

3D model brain for medical office

图像局部特征检测算子的matlab程序 (an matlab program for image local feature )

TSP cities..............................

说明：  自适应滤波器相关的matlab程序，包含LMS，RLS算法等的实现。由于太大了，所以该资源分为part1和part2两部分。(matlab codes related to adaptive filters, including LMS and RLS algorithm, etc. the resource is divided to two parts (part1 + part2) cuz it is oversized.)

taflov所写的关于FDTD书中的完整程序，包含有1D，2D，3D的完整例子，对初学者非常的有用。(taflov written the book on the FDTD complete procedures, includes 1D, 2D, 3D complete examples, very useful for beginners.)

《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。(《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is much better than traditional algorithm.)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))