CorrelatedNoise.m

直流电机双闭环控制系统matlab仿真程序(Motor double-loop control system simulation program Matlab)

用免疫克隆遗传算法优化一元函数，包括主程序和子程序，直接运行出结果。(With immune clonal genetic algorithm to optimize a function, including the main program and subroutine, run directly from the results.)

有关贪婪算法的源码，可以用在无线网的成链协议中(The source of the greedy algorithm can be used in the wireless network into a chain of agreements)

matlab环境下fft 应用的简单实例(failed to translate)

基于matlab实现了jpg的编码解码，以及有关的分析和操作(Matlab-based codec to achieve a jpg, and the analysis and operation)

对异常声音做时延的模拟，并得出四个模拟麦克风接收的音频信号。(On the unusual sound of analog delay to do, and come to the microphone to receive the four analog audio signals.)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

IAKBWC WICB WIEWBCW WEIUCB

这是一个应用一致性几何绕射理论编写的简单程序，初学学者可作为参考(This is a simple program UTD written application, can be used as a reference for beginners and scholars)

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)