art_iter

说明：  认知无线电切换算法，基于排队论，考虑主用户是否随机接入两种情况。(Cognitive radio handover algorithm based on queuing theory, to consider whether the user random access to two main situations.)

说明：  使用5阶巴特沃斯半带滤波器4通道完美重构滤波器组来处理音频数据的例子(Using the 5-order Butterworth filter with a 4-channel semi-perfect reconstruction filter banks to process audio data examples)

匹配追踪和正交匹配追踪，一种基于多文档得图像合并技术，gmcalab 快速广义的形态分量分析。( Matching Pursuit and orthogonal matching pursuit, Based on multi-document image obtained combining technique, gmcalab fast generalized form component analysis.)

数字图像隐藏技术的仿真，针对一个图片现将其转换为灰白图像，然后将要隐藏的图片加入样本中，加入椒盐噪声攻击，最后将图片还原。(Digital image information hiding technology simulation, for a picture now converted to gray image, will then be hidden image is added to the sample, adding salt and pepper noise attack, finally will restore the picture.)

对卡尔曼滤波原理进行了仿真！ 可用于雷达脉冲受随机噪声干扰后的原始数据最优估计。(The principle of the Kalman filter simulation! Can be used for radar pulse by the random noise of the original data after the optimal estimation.)

Matlab中AR模型的应用，相关数据分析(Matlab application of the model of AR, the relevant data analysis)

rgb to ycbcr conversions and other ype of representations

this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.

说明：  通信信号的调制信息包含在信号的瞬时幅度、相位、频率的变化之中，不同的信号其频谱也呈现不同的特征，通过提取瞬时幅度、相位、频率以及频谱的参数统计特征，可以识别不同的通信信号。通常是利用对瞬时幅度、瞬时相位，瞬时频率和信号功率谱进行某种变换而得到可以明显区分各种信号的特征参数。(Communication signal modulation information is contained in the signal instantaneous amplitude, phase, frequency changes, the spectrum of different signals also show different characteristics, by extracting the instantaneous amplitude, phase, frequency and statistical characteristics of the parameters of the spectrum, you can identify different communication signals. Usually by the use of instantaneous amplitude, instantaneous phase, instantaneous frequency and signal power spectrum a transformation which can be clearly distinguished by the characteristic parameters of various signals.)

实现滑动去趋势波动分析，程序内部有解释，在MDFA文件中可以改变相应的参数值，使结果更好。x中存放的是脑电信号，这里没有上传。可以根据需要，用这种方法处理不同数据。(Achieve sliding detrended fluctuation analysis, is explained within the program, the file can be changed in the MDFA the corresponding parameter values ​ ​ so that the results better. x is stored in the brain signal, there is no upload. As needed, using this method to deal with different data.)