2-4transform

system encryption matlab code using advanced system

Radar System Performance Modeling, Second Edition 的光盘源码(Radar System Performance Modeling, Second Edition )

Fast Fourier Transformation code FFT

此程序提供两种一维信号信息熵的计算方法，其中一种是近似信息熵计算，可以有效的识别信号的复杂度(This program provides two kinds of one-dimensional signal and the calculation method of information entropy is one kind of approximate entropy calculation, can effectively identify the complexity)

FMCW调频连续波雷达的测距测角，本程序的性能已经超过其他算法，合成孔径雷达（SAR)目标成像仿真。( FMCW frequency modulated continuous wave radar range and angular measurements, This program has exceeded the performance of other algorithms, Synthetic Aperture Radar (SAR) imaging simulation target.)

this file is about solair system 3

这是关于RADRA仿真的.有如下代码placeClutter.m, plotDistLines.m, plotFOV.m, radarSimulation.m, runRadarSim.m, targetsReturn.m, radarSimulation.fig, analyzBuffer.m, buildAntenaGain.m, createTargets.m, displayTargets.m, handleRadarControlls.m, MTIcalcTargetsV.m(RADRA simulation. PlaceClutter.m following code, plotDistLines.m, plotFOV.m. radarSimulation.m, runRadarSim.m. targetsReturn.m, radarSimulation.fig. analyzBuffer.m, buildAntenaGain.m. createTargets.m, displayTargets.m. handleRadarControlls.m, MTIcalcTargetsV.m)

模糊控制的一级倒立摆仿真，采用TS模型，TTS模糊模型，是非线形复杂系统模糊建模中一个典型的模糊动态模型。这类模型采用的模糊规则：其前件是依据系统输入、输出间是否存在局部线形关系来进行划分；而其后件是多项式线形方程来表达，从而构成各条规则间的线形组合，使非线形系统的全局输出具有良好的线性描述特性。(Fuzzy Control of an inverted pendulum simulation, using the TS model, TTS fuzzy model, a non-linear modeling of complex systems in a typical fuzzy fuzzy dynamic model. Such models using fuzzy rule: whether it is based on local linear relationship exists between the system input and output to the front piece is divided subsequent pieces are linear polynomial equations to express, thus constituting a linear combination between each rule that non- Global output linear system has good linearity characterization.)

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences between IT2 and type-1 FLSs.

gui tutorial images part 2