AFDfunction

Double side band suppressed carrier modulation (DSB-SC)

divide the image in to sub blocks

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

说明：  人脸检测，能用于单人和多人脸图的检测识别，效果不错。(Face detection,It can be used in the detection and recognition of single face and multi face images with good effect.)

很好的DTW源代码，层次分明，注释详尽，很容易看懂，直接运行主程序main_speech_alignment_DTW.m 即可通过图观察DTW处理前后的波形。(DTW good source code, structured, detailed notes, it is easy to understand, can be run directly by the main program main_speech_alignment_DTW.m Figure waveform observed before and after DTW.)

说明：  source codes available in pudn site

图像分析与识别，从一副包含各种动物的图像中识别出想要的动物(Image analysis and recognition)

说明：  一个异步电机直接转矩控制系统的仿真模型。(A simulation model of direct torque control system for asynchronous motor is presented.)

基于C均值的多类模式识别，满足正态分布的样本进行分类训练。(Mean C-based multi-class pattern recognition, classification of samples to meet the normal training.)

论文：基于Matlab的QPSK系统设计仿真(Thesis: The QPSK system design based on simulation of Matlab)