matlabfiles

face recognition in matlab using pca lda both............................

matlab编程的拉格朗日插值 龙格现象 matlab(matlab programming Lagrange interpolation Runge phenomenon matlab)

matlab编写的sierpinski地毯程序(sierpinski carpet written matlab program )

使用matlab编程环境实现同态信号的滤波处理，同态滤波算法(Matlab programming environment used to achieve the filtering Homomorphic signal processing, homomorphic filtering algorithm)

comparision of motion estimation results for 7 popular fast block searching algorithm

说明：  多光束干涉，可以选N束光,偏振等不可以选择，模拟光子晶体的产生(Multiple beam interference, can choose N beam of light)

plan position indicator by matlab for radar application in detection by elecromagnetic wives

考虑排序问题的盲卷积分离模型算法程序，实现盲源分离。(Consider the scheduling problem of blind separation model convolution algorithm program to achieve blind source separation.)

基于主成分分析的人耳识别方法研究，使用方法为PCA，算法较为简单，易于编程(PCA-based ear recognition method, using the method for the PCA, algorithm is simple, easy to program)

说明：  运动载体的定位与导航一般应用Kalman滤波算法。可 靠的Kalman滤波算法要求有可靠的函数模型、随机模型以 及合理的估计方法。实际情况中运动载体一般难以确保规 则运动，因而精确的函数模型的构造十分困难。近年来， 有不少学者对机动载体运动模型进行了讨论，所属内容各 具特点，建立的各种模型包括微分多项式模型、常速度模 型、常加速度模型、时间相关模型，半马尔柯夫模型、 Noval统计模型及机动载体的“当前”统计模型(Moving vehicle positioning and navigation general application of the Kalman filter algorithm. Kalman filter algorithm requires a reliable function model, a stochastic model, as well as a reasonable estimation method. Moving carrier in the actual situation is generally difficult to ensure a regular motion, and thus the the precise function model structure is very difficult. In recent years, many scholars have discussed the movement of the motor carrier model, each with distinct characteristics of their respective content, establish various models including the differential polynomial model, constant velocity model, constant acceleration model, time-dependent model, semi-Markov model, Noval statistical model and motor carrier &quot current&quot statistical model)