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印刷行业用来计算2000色差的公式matlab的编程(2000 color difference formula used in the printing industry matlab programming)

基于mathematica的数学微分实验书籍，包括mathematica的基本教程和实验源码(Basic tutorials and source-based experimental math mathematica differential experiment books, including the mathematica)

本代码是关于医学图像的边缘检测，可实现快速的的收敛到感兴趣边缘，matlab编程。(The code is on the medical image edge detection, can be achieved fast convergence to the edge of interest, matlab programming.)

本程序主要是利用利用语音信号的基本特性进行谱熵端点检测(taep end detection)

CISSP Certified Information Systems Security Professional Study Guide (Sybex, 3rd Ed)

viterbi decoding simulations in matlab code with toolbars matlab

ImageM integrates into a GUI several algorithms for interactve image processing and analysis. It allows to load images, apply filtering and/or segmentation, and run basic analyses. Interface is inspired the open source software ImageJ . To install, simply unzip, and add the path containing the +imagem directory. The application can be launched by typing: ImageM( rice.png ) (or any other image provided with the image processing toolbox). The development of ImageM started as a proof of concept for creating GUI dedicated to image processing. After adding several tools and options, I thought it could be useful to others, and maybe be used as an example of gui development. ImageM relies on the image processing toolbox and on the GUI Layout Toolbox. Most algorithms are wrapped into a specific Image class that allow to process in a unified way grayscale, binary and color images, 2D or 3D, and that can be used independently.

A Systematic approach for Displays popup menu of toolbox demonstration scripts that illustrate: * homogeneous transformations * trajectories * forward kinematics * inverse kinematics * robot animation * inverse dynamics * forward dynamics (Displays popup menu of toolbox demonstration scripts that illustrate: * homogeneous transformations * trajectories * forward kinematics * inverse kinematics * robot animation * inverse dynamics * forward dynamics )

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

介绍了匹配滤波器 LFM信号的匹配滤波器,用于信号距离探测(the matched filter for signal detection distance)