genetic_TSP

一种基于小波分解的多图象拼接技术.对在多个图象间进行非规则形状图象拼接的多分辨整合技术进行了研究。运用Multi2masks方法将多个图象的选定区域同时融合在一起, 减小了计算量, 并利用小波变换对图象进行多分辨分解, 采用与频段宽度成正比的加权拼接宽度来消除拼缝的影响.(Based on wavelet decomposition of multi-image stitching technology. Between the images in a number of non-rules shapes multiresolution image stitching technology integration is studied. Multi2masks methods use multiple images of the selected regions together at the same time, reduces the computation and use of wavelet transform for image multiresolution decomposition, using the band width is proportional to the width of the weighted splicing to eliminate the拼缝impact.)

说明：  实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错(This is the program of image segmentation based on the following work: S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing. Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it.)

Comparison of Simulated BER with the Theoretical BER for a QPSK modulated and demodulated system

Performance analysis of Binary phase shift keying modulation in AWGN channel-Uncoded Bpsk vs Coded BPSK Probability of Error (BER) vs SNR (Eb_No) curve

单一应变量，pls编程，内容详细主要并有误差分析(Single strain, pls programming, detailed error analysis of the major and have)

该程序用于读取欧空局软件polsarpro处理得到的相干矩阵(The program is used to read a coherent matrix after processed by ESA processing software polsarpro )

阿基米德曲线的绘制，GUI显示，有推导公式，可自行修改参数。(Archimedes spiral，you can change the parameter by your need)

用单球面透镜对日亚红色激光准直仿真，仿真以casio为模型(This is a model of RED LD focusing experient，basing on the casio product。)

实现PCA(主成分分析)算法，对图像进行主成分分析后根据主成分坐标轴转换原图像坐标(to realize PCA)

Slicing is useful for many Software Engineering applications and has been widely studied for three decades, but there has been comparatively little work on slicing Extended Finite State Machines (EFSMs).