exampl2

CR [1] is a promising solution to the problem of spectrum scarcity in wireless communications. The basic idea of CR is to allow secondary (unlicensed) users (SUs) to opportunistically utilize the spectrum of PUs (licensed), provided that the SU transmission do not harmfully affect the PUs. In this paper, we focus on the underlay CR approach, where the SUs access the spectrum occupied by the PUs, given that the interference they cause to the PUs is less than a certain threshold such that the Quality-of-Service (QoS) of the PUs can be ensured

说明：  这是一个用matlab编写的基于实数遗传算法程序，汉语注释详细，绝对原创。运行结果正确。(This is a prepared using matlab genetic algorithm based on real process, detailed notes in Chinese, is absolutely original. The correct results.)

对一些图像或者其他数据进行svm处理，得出两种类型数据的对比(SVM on some images or other data processing, it is concluded that two types of data contrast to SVM dealing with some images or other data, it is concluded that the two types of data contrast)

说明：  求解DEA　CCR BCC 超效率 matlab程序(Solve the DEACCR BCC super efficiency matlab program)

EKF-SLAM Simulator (version 2.0) ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates.

采用matlab开发的SVM源码，包括四种核函数(about SVM)

卡尔曼滤波的基本原理，有利于对卡尔曼滤波有更深一步的理解(The basic principle of the Kalman filter, it is beneficial for a deeper understanding of thethe Kalman filter. )

haralik feature program

t - time series y - value of series at time t w - cycle length, defined by user based on prior knowledge of time series alpha - type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 95 cofidence intervals(t- time series y- value of series at time t w- cycle length, defined by user based on prior knowledge of time series alpha- type I error used for cofidence interval calculations. Usually set to be 0.05 which corresponds with 95 cofidence intervals)

利用matlab实现就近点邻域寻找算法，获取指定点k邻域范围内的点集(Using matlab realize the neighborhood looking for the nearest point algorithms, access points within a specified point range k neighborhood)