channel-estimation

介绍了用MATLAB模糊逻辑工具箱设计模糊控制器，并用SIMULINK仿真的一般方法。(MATLAB FUZZY )

MATLAB图像处理命令,十分齐全，包含语法和举例，方便应用(MATLAB image processing commands, is very complete, including syntax and examples to facilitate the application of)

matlab混沌工具箱，可以直接调用运行(other matlab Chaos Transfer，Can be called directly)

FMBC complexity analysis

运动目标的检测是视频处理过程中后续跟踪技术的基础,其检测结果的好坏直接关系到能否跟踪到运动目标及跟踪准确度问题。运动目标的检测就是从机器视觉系统获取的序列图像中把前景,运动,目标分割提取出来的过程。本文描述了机器视觉中运动目标检测的主要方法?介绍了其中背景减除法的几种典型算法的原理、特点、背景差分法的基本流程?主要包括四个步骤为,预处理、背景建模、目标检测、后处理。然后在matlab环境下运用背景减除算法完成了视频中运动目标的检测,并对检测结果图像进一步处理.(Moving target detection is a follow up video processing technology based on the test results is directly related to the ability to track moving targets and tracking accuracy. Moving target detection prospects, movement, object segmentation extracted from the sequence of images acquired by the machine vision system. This paper describes the main method of moving target detection machine vision ? introduced the principle of which several typical algorithms for background subtraction method, the basic flow characteristics, background difference method ? mainly includes four steps, preprocessing, background modeling target detection, post-processing. Use background subtraction algorithm in Matlab environment complete video moving target detection, and detection results of images for further processing.)

应用小种群遗传原理求函数最值的matlab实例(max or min)

matlab离散点转化为平滑曲线的基本方法，适合新手使用(matlab discrete points into a smooth curve)

说明：  雷达信号处理，包括CFAR检测，脉冲压缩等过程。(radar detection and signal dealing, including the CFAR, and pulse compression)

These are codes for implementing Bandpass filters in MATLAB. Can be used for study in Digital Signal Processing

Objective of this example is to demonstrate how to design and model adaptive controller, tune and analyse its performance using Simulink® . For this example we have used direct adaptive method called Model Reference Adaptive Controller (MRAC). There are three main elements of this model: Reference Model, Plant Model and Adaptive Controller. Each element and its working is explained in "Adaptive Controller Example.pdf", part of attached folder.