Simulation_Study_of_UWB_Communication_System

Narendra自适应控制算法的相应程序(Narendra adaptive control algorithm corresponding procedures)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

可以用来求ADC的SNDR的m文件，需要ADC的输出作为txt文件输入(M files for SNDR that can be used for ADC)

说明：  kalman滤波基本程序框架并针对匀速直线目标跟踪(kalman filter and the basic procedural framework for the uniform straight line tracking)

matlab工程数学的应用, 详细介绍了matlab在工程方面的建模,运算以及仿真(the application of engineering mathematics matlab, matlab detailed modeling in engineering, computing and simulation)

code for amplify and forward

说明：  无差拍控制模型S函数,simulink下的模型,电力电子论文必备(Deadbeat control model S function, simulink model under, power electronics papers must)

matlab编写的kalman目标跟踪程序(target tracking kalman matlab program written in)

matlab 基础上通过最小二乘法进行模态参数识别，得出固有频率，振型，阻尼比，图形(by the least squares method matlab based on the identification of modal parameters obtained natural frequency, mode shape, damping ratio, graphics)

说明：  基于 汽车跟驰模型OVM 和 IDM 的动态特性分析（2辆车）(Dynamical Characteristics of OVM and IDM Using Two Car Simulation for two vehicles.)