Neville

A very good, neat and classic contour detection. (cpp code , matlab script and test image included). You can learn the basic idea of contour detection and do your research based on this.

demodulates the FM modulated signal Y at the carrier frequency Fc (Hz). Y and Fc have sample frequency Fs (Hz). FREQDEV is the frequency deviation (Hz) of the modulated signal.

this is a source code about neural networks

DETECTING FEATURES OF AN IMAGE

将MATLAB生成的图表，数据和.fig等结果文件导出到其它文件中，(This function saves a figure or single axes to one or more vector and/or bitmap file formats, and/or outputs a rasterized version to the workspace, with the following properties: - Figure/axes reproduced as it appears on screen - Cropped borders - Embedded fonts (vector formats) )

描述旋转体目标的微动特性，完成对旋转体目标的微多普勒仿真(Micro-Doppler Signature of a Spining Target)

document for PID controler using funtion of matlap as simulink

基于matlab 来开发QR识别和译码程序，运用图像校正、二值化、边缘检测等各种图像处理方法实现条码的预处理，并进行QR码的解码和纠错算法，充分利用面向对象的方法，结合图像处理技术，完成了基于图像处理的QR码快速识别的解码系统。(Based on Matlab QR recognition and decoding procedures, the use of the image correction, binarization, edge detection, and other various image processing methods to achieve the pretreatment of the code, and a QR code decoding and error correction algorithm, the full use of the object-oriented approach, combined with image processing technology, based on the completion of image processing QR code decoding system to quickly identify.)

最近从书上看到的非线性解题法的一个程序，共享下(Recently from the book to see non-linear problem-solving method of a program to share the)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.