rtrl

说明：  带注释的一维粒子滤波MATLAB程序，适合初学者学习。(Notes with one-dimensional particle filter MATLAB program, suitable for beginners to learn.)

Fast Fourier Transform Using Matlab

这是郭仕剑的《MATLAB7.X数字信号处理》这本书的光盘源码。(This is Guo Shi Jian " MATLAB7.X digital signal processing," source book CD.)

介绍一下图像增强技术的背景和意义以及现代图像增强技术发展的现状，其次是介绍图像增强技术的基本算法。由于要用到Matlab进行仿真，第三章将主要介绍Matlab软件在图像处理中的功能和运用。最后将详细的介绍直方图算法的意义、性质、显示及映射，并利用Matlab进行图像增强的仿真实现且达到了论文预期的目的和满意的实验结果。(Recommend the picture to strengthen the background , meaning and current situation of strengthening the technical development of modern picture of technology at first, secondly introduce the basic algorithm that the picture strengthens technology. Because should use Matlab and carry on emulation , chapter three will mainly introduce the Matlab software function and application in pattern process. Finally detailed introduction meaning, nature, showing and shining upon, histogram of algorithm, utilize emulation that Matlab strengthened the picture to realize and achieve the anticipated purpose of the thesis and satisfactory experimental result.)

说明：  多目标跟踪软件流程如下： 初始化函数 初始化轨迹对象 读取一帧数据 前景检测 根据位置进行卡尔曼预测 匈牙利匹配算法进行匹配 分配好的轨迹更新 未分配的轨迹更新 删除丢掉的轨迹 创建新轨迹 结果展示(The flow of multi-target tracking software is as follows: Initialization function Initialize track object Read a frame of data Foreground detection Kalman prediction based on location Hungarian matching algorithm for matching Assigned track update Unassigned track update Delete lost tracks Create a new track Result display)

this is matlab program for turbo code set up.

利用matlab实现glomb编码算法，实现了数据的压缩(Coding algorithm using matlab to achieve glomb)

过零无功功率补偿的研究及其matlab仿真(Zero-crossing compensation)

使用麦克风阵列的声源定位和跟踪已成为室内声学，电话会议系统和声音产生对象的跟踪的关注焦点。估计源定位的当前方法取决于麦克风对之间的传统时间延迟估计技术，然而，忽略环境噪声，来自周围的反射和封闭空间中的混响。在本研究中，设计并开发了基于3D麦克风阵列的声源定位器和跟踪器（ASLT），用于实时源检测和定位。(Acoustic source localization and tracking using microphone arrays has become a focus of interest in room acoustics, teleconference systems and tracking of sound producing objects. The current methods to estimate the source localization depend on conventional time-delay estimation techniques between microphone pairs, however, ignoring the ambient noise, reflections from surrounding and reverberation in the closed space. In this study, an acoustic source localizer and tracker (ASLT) based on 3D microphone array is designed and developed for real time source detection and localization.)

taylor green vortex runing on matlab, using two relaxation time method.