FD

Decompose image into subbands, denoise using BLS-GSM method, and recompose again. fh = decomp_reconst(im,Nsc,filter,block,noise,parent,covariance,optim,sig) im: image Nsc: number of scales filter: type of filter used (see namedFilters) block: 2x1 vector indicating the dimensions (rows and columns) of the spatial neighborhood noise: signal with the same autocorrelation as the noise parent: include (1) or not (0) a coefficient from the immediately coarser scale in the neighborhood covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using a critically sampled pyramid (orthogonal wavelet), as implemented in MatlabPyrTools (Eero). JPM, Univ. de Granada, 3/03

This file is the tracking filter. Kalman and Alpha Beta Filter

说明：  随机共振分析弱信号，带MATLAB源码，值得参考(Stochastic resonance weak signal analysis, take the source code, is worth reference)

最新matpower 5.01工具箱，可以进行潮流、最优潮流、时域仿真等一系列计算。功能十分强大，并且内部有多个IEEE n节点的电力系统模型(The new Matpower 5.01 toolbox, can flow, optimal power flow, the time domain simulation and a series of calculation. Function is very powerful, and the internal power systems with multiple IEEE N node model)

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)

用MATLAB编写的一些数字信号处理的实验。(Written some of the digital signal processing using MATLAB experiment.)

有循环检测，周期性检测，针对EMD方法的不足,光纤陀螺输出误差的allan方差分析。( There are cycle detection, periodic testing, For lack of EMD, allan FOG output error variance analysis.)

generates a biometric template from an iris in an eye image.

利用类平均距离法，对遥感图像进行分类，操作时调用函数(Use the average distance category, the classification of remote sensing images, call the function when)

说明：  分析了现有船舶自动避碰系统的不足,提出了基于人工势场法的船舶自动避碰系统. 根据 船舶的操纵特性,建立了引力场和斥力场函数,实现船舶自动避碰航行的合力和方向. 在电子海图 所建立的仿真环境中,验证了人工势场法可用于船舶自动避碰系统中.(Analysis of existing ships lack of automatic collision avoidance system is proposed based on artificial potential field method automatic collision avoidance system for ships. According to the ship maneuvering characteristics, the establishment of a gravitational field and the repulsive force field function, automatic collision avoidance to achieve ships sailing together, and direction. in the electronic chart of the simulation environment created to verify the artificial potential field method can be used to ship automatic collision avoidance system.)