neural-network-

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)

一种SAR成像的新技术，主要运用S-method方法，并进行了优化。(Adaptive S-Method for SAR-ISAR Imaging)

UWB中可抑制窄带干扰的一种方法，pswf为一种改进的脉冲波形(UWB in a way to suppress narrowband interference)

说明：  测试网络的容错性,并且对实际含噪声的字母进行识别，以实现BP网络的识别功能。(Test network fault tolerance, and the actual identification of letters with noise, to achieve the BP network, recognition.)

基于卡尔曼算法的AR模型系数预测，利用卡尔曼滤波算法对AR模型的系数进行实时更新，可以观察到预测准确度有明显提高(Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy)

模拟了FBG的反射谱和透射谱图像，对FBG的初学者很有用！程序有详细的说明。(The refilection spectra of FBG.)

说明：  用于速度控制的联合仿真可实现对四轮小车的不换控制。(The joint simulation for speed control can realize the non-replacement control of four-wheeled car.)

说明：  无监督学习，基于密度的聚类算法，实现分类(Unsupervised learning, density based clustering algorithm to achieve classification)

二维码的MATLAB仿真程序，能够很好地帮助大家(Two-dimensional code MATLAB simulation program can be a good help everyone)

帮助初学者学习matlab的90个学习实例(90 learning examples to help beginners learn matlab)