Algebraic-ICA

用matlab实现的SURF算法，具有较强实用性，可以调试使用。(SURF algorithm using matlab realize, with strong practicality, you can debug.)

说明：  该资源是MATLAB程序设计，对MATLAB初学者入门MATLAB程序设计有很大的帮助，通过该课件能够基本使用MATLAB进行简单的编程(The resources are the MATLAB programming, Introduction to MATLAB on the MATLAB programming beginners have a lot of help, through the basic use of MATLAB software can be a simple programming)

吉它效果器-娃音器的滤波器分析,用MATLIB实现(Guitar effects- WAH sounds filter analysis using MATLIB achieve)

Backpack Genetic Algorithm

本源程序是用MALAB编写，并且主要是从图像处理方面研究的(The source code is written using MALAB, and mainly from the study of image processing)

michelson contrast function for quality assesment of image

very useful book for IGBT designers

关于数据挖掘的原理，很好的一本书，介绍了许多数据挖掘的通用算法(Data mining on the principles of a good book to introduce some common data mining algorithms)

：随着无线技术的飞速发展，频谱缺乏已经成为一个非常严重的问题．感知无线电技术能有效解 决频谱紧张的现状．介绍了感知无线电概念及其内涵，然后介绍了检测频谱空穴的方法．为提高检测概率、 降低设备复杂度及计算复杂度，将UWB与感知无线电结合，提出了基于能量检测及用户合作（EDAUC）的 协作感知方法．仿真和分析表明：该方法能有效提高检测频谱空穴的概率．(: With the rapid development of wireless technology, the lack of spectrum has become a very serious problem. Cognitive radio technology can effectively solve the spectrum tense situation. Introduced the concept of cognitive radio and its content, and then introduces the method of detection of spectrum holes. To improve the detection probability and reduces the complexity and computational complexity, the combination of UWB and cognitive radio is proposed based on energy detection and user cooperation (EDAUC) the cooperative sensing methods. Simulation and analysis: This method can improve the probability of detection of spectrum holes.)

Gradient Adaptive Laguerre Lattice Filter( Description： Implements the order recursive adaptive laguerre filter from Fejzo and Lev-Ari (1997). Advantages: *Fewer parameter to model than FIR filters modeling long impulse responses *guaranteed stability, unique global minimum, small number of parameter for prescribed modelling error *numerically robust & and low computational complexity ( O(M) ). *Fast convergence (RLS equivalent) with no apriori learning rate required *Order recursive, so filter coefficients are uncorrelated with each other, allowing for modular implementation. Setting the pole parameter to 0 yields the standard classical gradient adaptive FIR algorithm. Includes simple example on cross-talk resistant echo cancellation to show how to use it. )