ght_for_circle_matlab

程佩青版数字信号处理部分作业的matlab程序... 只做过了老师布置的题目. (Cheng Peiqing version of digital signal processing operations matlab program ... )

this code is useful to make cluster of random data in a particular group

关于matlab计算的代码，主要为拉曼激光器输出与输入的关系，希望大家下载啊(Calculated on the matlab code, mainly for the relationship between the Raman laser output and input, I hope you download ah！)

说明：  数字信号处理中DSP中的matlab编程，有关汉明窗函数，汉宁窗以及凯撒窗的编写。(DSP digital signal processing in matlab programming, the Hamming window function, Hanning window, and the preparation of Caesar.)

说明：  這是一個求數獨遊戲的m-file 在matlab的命令窗口 鍵入>> sudo7 或者run sudo7 的m-file 之後在 9x9 的方格內 填入 數獨的問題 按下 "計算是否有解" 的功能鍵 若不是存在多組的解，則可以 按下 "顯示結果" 的功能鍵， 也可以載入作者測試的"date1"或"date2" 但不可載入及修改"condition"(This is a Sudoku game for the m-file in matlab command window type>> sudo7 or run sudo7 the m-file after the box in the 9x9 Sudoku Fill in the question of pressing the calculate whether the solvability feature key if it were not for the existence of multiple solutions, you can press the show results of the function keys can also be included in the authors test date1 or date2 but not loading and modification of condition )

iNEDI is an acronym for "improved New Edge-Directed Interpolation". This function implements an improvement of the original NEDI technique described on: X. Li et. al., "new edge-directed interpolation". IEEE Trans. on Image Processing, Vol.10, No.10, October 2001, pp.1521-1527 (iNEDI is an acronym for "improved New Edge- Directed Interpolation. " This function imple ments an improvement of the original GaAs techn ique described on : X. Li et. al. , "new edge-directed interpolation." IEEE Tran s. on Image Processing, Vol.10, No.10, 373,890 bytes, pp.1521- 1527)

this package provides ehe fuzzy c means segmentation algorithm and its input type.. source code is also availble

eof主成分分析，供高校本科生研究生使用，气象海洋专业(eof principal component analysis for the use of university undergraduate students, professional marine meteorology)

This package implements vectoriel quantization according Self Organizing Map paradigm It allows to : 1. generate a codebook training images set 2. reconstruct a test image according to the generated codebook 3. ute the Peak Signal to Noise Ratio (PSNR) between the test image and the image obtained after quantization 4. estimate execution time of this process

数学实验中用matlab对猎狗追逐兔子进行的仿真和分析(Matlab to the hunting dog chasing rabbits simulation)