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内附MATLAB学习的基本知识和很多MATLAB程序设计知识，是学习MATLAB的必备手册。(Included learning the basics of MATLAB and a lot of MATLAB programming knowledge, is the essential guide to learn MATLAB.)

通过傅里叶变换的方法，对两个单频信号的相位差进行计算，信号相关性计算(Fourier transform method, the phase difference between two single-frequency signal is calculated)

来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation, feature extraction, camera calibration, camera exterior orientation, display, color space conversion and blackbody radiators. The Toolbox, combined with MATLAB and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. It is possible to use MEX files to interface with image acquisition hardware ranging from simple framegrabbers to Datacube servers.(from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg)

this is a matlab code for human eye detection

本内容为，三维模型直接导入matlab中，可以方便的运行，可以更观的体现模型的真实性(This content is, three-dimensional model directly into matlab, you can easily run, you can view more manifestation of the authenticity of the model)

Q-learning (Watkins, 1989) is a simple way for agents to learn how to act optimally in controlled Markovian domains. It amounts to an incremental method for dynamic programming which imposes limited computational demands. It works by successively improving its evaluations of the quality of particular actions at particular states. This paper presents and proves in detail a convergence theorem for Q,-learning based on that outlined in Watkins (1989). We show that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action-values are represented discretely. We also sketch extensions to the cases of non-discounted, but absorbing, Markov environments, and where many Q values can be changed each iteration, rather than just one.

Real time tracking of the red object in matlab

该模块实现一个寄存器堆的操作，其中前16个仅主机能写，规给为32-bit×32。后16个仅Micorblaze能写。读取没有限制。如果双方同时对同一地址进行读写操作，读回的数将是全1。(This module implement a register file of the operation, of which the first host 16 is only able to write rules to the 32-bit × 32. Micorblaze only 16 after the write. There is no limit to read. If the two sides at the same time to read and write operations to the same address, read back would have been a full one.)

基于宽带情况下数字下变频的全过程仿真程序 (Case based broadband digital down conversion of the whole process simulation program)

此函数是用C语言编写的MEX文件，与MATLAB中imreconstruct函数功能相同，效果一样，运行速率更快。(This function is written in C MEX file, the same function with in MATLAB imreconstruct function, the same effect faster run rate.)