DNA-sequencing-problems

说明：  最大类间方差算法可以有效地进行相应的图像分割(Otsu algorithm can make the appropriate image segmentation)

产生右图所示图像f1(m,n)，其中图像大小为256×256，中间亮条为128 ×32，暗处=0，亮处=100。对其进行FFT： ① 同屏显示原图f1(m,n)和FFT(f1)的幅度谱图； ② 若令f2(m,n)=（-1）m+n f1(m,n)，重复以上过程，比较二者幅度 谱的异同，简述理由； ③ 若将f2(m,n)顺时针旋转90 度得到f3(m,n)，试显示FFT(f3)的幅 度谱，并与FFT(f2)的幅度谱进行比较； ④ 若将f1(m,n) 顺时针旋转90 度得到f4(m,n)，令f5(m,n)=f1(m,n)+f4(m,n)，试显 示FFT(f5)的幅度谱，并指出其与FFT(f1)和FFT(f4)的关系； ⑤ 若令f6(m,n)=f2(m,n)+f3(m,n)，试显示FFT(f6)的幅度谱，并指出其与FFT(f2)和 FFT(f3)的关系，比较FFT(f6)和FFT(f5)的幅度谱。(Generating an image f1 (m, n) shown in the figure, wherein the image size is 256 256, the intermediate light bar 128 32 0 = dark, bright Department 100. Its FFT: ① screen display picture f1 (m, n) and the FFT (f1) of the amplitude spectrum ② If so f2 (m, n) = (-1) m+n f1 (m, n), repeat The above process, comparing the amplitude spectrum of the similarities and differences between the two, brief reasons ③ If f2 (m, n) 90 degrees clockwise to get f3 (m, n), try to display FFT (f3) the amplitude spectrum and with the FFT (f2) comparing the amplitude spectrum ④ If f1 (m, n) obtained by 90 degrees clockwise f4 (m, n), so f5 (m, n) = f1 (m, n)+f4 (m, n ), try to display FFT (f5) amplitude spectrum, and pointed out its relationship with the FFT (f1) and FFT (f4) of ⑤ If so f6 (m, n) = f2 (m, n)+f3 (m, n) and try to display the FFT (f6) amplitude spectrum, and pointed out its relationship with the FFT (f2) and FFT (f3), comparing FFT (f6) and FFT (f5) amplitude spectrum.)

Algorithm Flowchart for ZF-QR and ZF_SQRD receiver. The algorithms can be implemented using MATLAB.

说明：  非负矩阵分解应用于脸部图像识别的MATLAB程序(function [W H] = nmf(V,r,maxiter) )

Code of PSO-Rastrigin with matlab

成功实现计算OVYnqF算法的程序，本人测试已经通过，性能已基本达到OVYnqF算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate OVYnqF algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

此工具箱是英国设菲尔德（Sheffield）大学编写的MATLAB遗传算法工具箱，是使用的最广泛的遗传工具箱之一。在《MATLAB 遗传算法工具箱及应用》作　者：雷英杰 出版社：西安电子科技大学出版社 这本书中重点介绍了此工具箱。( Sheffield genetic matlab toolbox)

mri分割，基于MATLAB,很不错，住一起的一个朋友用过的，(mri segmentation, based on MATLAB, a very good living with a friend of mine used,)

如何在Matlab环境下执行频谱分析，修改和重新合成声音。(how to perform spectral analysis, modification and re-synthesis of sound)

一种基于matlab的三维图像重构算法，能够实现图像的三维重建功能(Based on a three-dimensional image reconstruction algorithm matlab, to achieve a three-dimensional image reconstruction function)