Problem3_20.m

这是简绍现在编码理论的最新研究进展的书，全英文(This is simply the latest research progress Shao book now coding theory, all in English)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

自己写的岭回归算法。做统计的都懂得。有需要就自己下载(Write your own regression algorithm. All know how to do statistics. There is a need to download)

这是一个简单的多用户蜂窝无线通信系统的建模与仿真(This is a simple design of cellular radio systems for multi-user )

基于contourlet变换的隐性马尔可夫模型树程序包，是由Duncan Po等人编写，其中含有部分C程序(on Contourlet Transform hidden Markov model tree package, Po is from Duncan and others prepared, which contains some C Program)

利用matlab编程实现粒子群算法，来进行寻找最优解(particle swarm optimization)

初学matlab，按照help指导写的一个16qam信号lms均衡的simulink。(Beginner matlab, written in accordance with the help guidance a 16qam signal lms equalizer simulink.)

Matlab Image Fusion Toolbox for image fusion algorithm based on bandelet transform. This toolbox contains Matlab files that implement the image fusion algorithms described in paper Xiaobo Qu, Jingwen Yan, Guofu Xie, et al. A Novel Image Fusion Algorithm Based on Bandelet Transform. Chinese Optics Letters,Vol.5,No.10,pp:569-572, 2007

在matlab开发软件中，利用相关函数求两个信号的时间延迟。(In matlab software development, the use of correlation function of the two signals time delay.)

用matalab实现的最短距离算法的系统聚类分析对样本进行分类(With matalab achieve the shortest distance between cluster analysis algorithm to classify the samples)