vortex

MATLAB仿真各种窗函数（汉明窗、矩形窗、凯瑟窗等）的性能分析(MATLAB simulation of a variety of window function (Hamming window, rectangular window, etc.) performance)

三八译码器的生成文件，编码过程，MATLAB程序( 译码器)

matlab块操作，通过此程序，可以对图像进行边沿操作，交叠快操作(Matlab block operations, through this program, the image edge, overlapping fast operation)

鲍威尔的介绍及相关知识,包括基本的算法和改进的算法 (Powell introduction and related knowledge including basic algorithm and improved algorithm)

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

说明：  matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

函数插值，Hermit和在不同边界条件下的样条插值以及效果图(Function interpolation, Hermit, and the different boundary conditions and the results of spline interpolation map)

matlab simulink model for three phase inverter

参考Apple Coding Guidelines for Cocoa, Google Objective-C Style Guide, Three20 Source Code Style Guildelines，并结合自己的实际情况总结了一份编码规范。自己在实行的过程中确实感觉到代码更加清晰了，看上去也“专业”了。希望对编码尚不规范的童鞋有所帮助。(Reference Apple Coding Guidelines for Cocoa, Google Objective-C Style Guide, Three20 Source Code Style Guildelines, and combined with their own summary of the actual situation of a coding standard. Themselves in the process of implementation of the code do feel more clear, and looked " professional" the. Coding not want to help regulate the children' s shoes.)

Algorithms for Image Processing and Computer Vision 2nd