CH5

MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication systems.

基于元胞自动机模型模拟激发介质方法，源代码简单而实用(Based on the cellular automata model excitable media simulation method, and the source code is simple and practical)

MATLAB/GUI开发，实现excel文件的读取操作。(MATLAB/GUI development, achieving excel file read operation.)

说明：  在雷达成像中运用最基本的距离多普勒算法实现雷达成像(At the most basic use of radar imagery from the Doppler radar imaging algorithm implementation)

fuzzy preference rough set based feature evaluation and selection

pso优化BP，非常实用，具有较好的预测能力(pso optimal BP，Very practical, with good predictability)

循环谱工具箱,包括快速FAM SSCA 二阶循环累积量，高阶循环累积量(cyclic spectrum toolbox)

说明：  采用面向对象的基本思想,MATLAB/SIMULINK环境下,开发出一个基于MATLAB的化工单元操作工具箱(ChET)并以此工具箱为基础进行了化工过程模拟的尝试。(Adopt the basic idea of object-oriented, MATLAB/SIMULINK environment, the development of a MATLAB-based toolbox of chemical unit operation (ChET) and to the toolbox as the basis for a chemical process simulation experiment.)

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)

基于四元数方法的姿态解算，详细介绍了四元数解算姿态的基本方法(Quaternion method based solver, detailing the basic method solver quaternion attitude)