Gauss

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)

用于人脸识别模型的代码~~希望能有用。网络仿真也有(failed to translate)

ex9_15 比较相参积累和非相参积累。仿真先产生信号回波。得到回拨求模的结果，计算回波的信噪比。进行非相参积累和相参积累处理，计算相参处理和非相参处理后的信噪比。(Comparison ex9_15 coherent and noncoherent. Simulation of the first echo signal. Be the result of the call-back mode for calculating the echo signal to noise ratio. For noncoherent and coherent processing, the calculation of non-coherent processing and coherent treatment of the signal to noise ratio.)

fun with arrays and learning

RADAR SAR IS RDA Project

设计低通数字滤波器，要求在通带内频率低于 时，允许幅度误差在1dB以内，(Design of digital low pass filter, requirements in the passband frequencies below, allow a margin of error of less than 1dB,)

帮助大家认识蚁群算法 附上典型TSP的dat文件供大家测试(Ant colony algorithm to help you understand the typical TSP attached dat file for all the test)

说明：  matlab 与pefprop的接口程序(matlab interface program with pefprop)

实现GPS/INS组合导航解算位置、速度、航向等参数。输入数据：东向位置、北向位置、航向角（度）、gps速度、陀螺仪角速度、里程计脉冲数(Implement integrated GPS/INS navigation solution position, speed, course and other parameters. Input data: east position, north position, heading angle (degrees), gps speed, angular velocity gyroscope, odometer pulses)

使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络(BP network using genetic algorithm to optimize the weight threshold, and then BP algorithm for training the network)