SparsePandPRedundantPRepresentations

由一系列空间点拟合三维曲线，输入坐标点，输出多段样条曲线，及n等分点(By a series of space to fit this point, the input, output multiple of the other points, and the n )

非持续性CAMA是一种冲突避免的CSMA协议，如果终端检测到信道状态空闲，则立即进行数据传输，而信道状态忙，则停止载波监听，并随机在等待一段时间后再进行载波监听。(Non-durable CAMA avoid CSMA protocol is a kind of conflict, if the end channel state idle, detected immediately for data transmission, the channel state is busy, stop the carrier sense, and random carrier sense of the reentry after waiting for a period of time. )

说明：  法罗滤波matlab实例，用于解决时偏。(farrow filter matlab demo)

CIRCULAR CONVOLUTION PROGRAM WRITTEN IN MATLAB.TESTED OK

卡尔曼滤波在目标跟踪中应用仿真研究。目标跟踪是卡尔曼滤波的主要应用领域，进一步 加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点， 掌握卡尔曼滤波算法应用研究的基本步骤和方法。(The application of Kalman filter in target tracking is simulated. Target tracking is the main application area of Kalman filter. To deepen the understanding of Kalman filter algorithm and understand the basic characteristics of Kalman filter algorithm. Grasp the basic steps and methods of Kalman filtering algorithm application research.)

解决TSP问题的TS算法MATLAB实现，其中加入了变异算法，当然也可以去掉这个步骤，调用TS_TSP(N, inStart, IsBianYi)，N是城市数目，inStart是起始城市的序号，IsBianYi就是选择变异否，如果为0则不要变异，否则就是结合变异算子的TS算法。 至于下面的参数可以自己调： T：总的循环次数； tabulength：禁忌长度； Pby：变异概率； (Solve the TSP problem MATLAB realize TS algorithm, which joined the variance algorithm, of course, this step can also be removed, call TS_TSP (N, inStart, IsBianYi), N is the number of cities, inStart is the serial number of the starting cities, IsBianYi is to choose variation has, if not for the variation of 0, otherwise, it is combined with mutation of the TS algorithm. As for the following parameters can be their own tune: T: total number of the cycle tabulength: taboo length Pby: mutation probability )

说明：  OFDM信号及其频谱 OFDM signal and its spectrum ( Guard Interval insertion )(OFDM signal and spectrum OFDM signal and its spectrum (Guard Interval insertion))

说明：  matlab环境下的模式识别分类例程。高维样本投影到低维空间进行分类识别。(matlab environment classification pattern recognition routines. High-dimensional samples are projected onto low-dimensional space for classification and identification.)

powersystem fault analysis of power_svc_pss

振动信号和噪声信号相关性，simulink s函数(Vibration and noise signals correlation, simulink s function)