2013102244548001

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)

雷达杂波建模与仿真,一种地杂波谱的计算与仿真方法等7篇关于各种雷达杂波仿真的资料(Radar Clutter Modeling and Simulation, a clutter spectrum in the calculation and simulation methods, such as 7 on a variety of radar clutter simulation data)

this is a code for pca based face recoqnition ,nurl based programming .

SVPWM算法MATLAB仿真，采用S函数实现(SVPWM algorithm MATLAB simulation, using the S-function realization)

PADDEDSIZE Computes padded sizes useful for FFT-based filtering

Particle swarm optimization code

matlab应用，定积分不定积分应用的函数说明及实例讨论(matlab applications, the definite integral indefinite integral function descriptions and examples of the application of discussion)

AC3toMP3 GUI. GUI application for AC3ToMP3.

NoConnectionPendingException extends IllegalStateException.

该程序用于求解时间延迟t和嵌入维数m，该方法不同于自相关函数法和gp法，可以同时求解出两个量t和m的值，非常方面，在求解lyapunov指数时经常用到该方法(The procedure used to solve the time delay t and the embedding dimension m, the method is different from the self-correlation function gp method can solve the two quantities t and the value of m, the very aspect, often used to solve the lyapunov exponentthe method )