SENOS

说明：  pts-clipping与 pts与clipping(pts-clipping and pts and clipping)

本文是用矩形窗法设计FIR带通滤波器，来滤除音乐信号的噪声(this is rectangular window design FIR bandpass filter to filter out the noise signal Music)

卡尔曼滤波器处理有色噪声和有色噪声的白色化(Kalman filter processing colored white noise and colored noise of)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

optical code recognition

Matlab经典入门教程1，帮助初学快速入门，进而掌握它。(Matlab tutorial 1, to help beginners get started quickly, then grasp it.)

GUI设计蜘蛛爬行，针对互相追逐的蜘蛛，建立他们的爬行轨迹，同事，计算相遇时间等的Matlab程序文件。(GUI design spider, spider chasing each other, build their crawling track, colleagues calculated to meet the time of the Matlab program file.)

粒子群优化算法 可以进行选择及时跳出局部限制寻找最优点(PSO algorithm can be selected in time to find the most benefits out of local restrictions)

Watermarking, as opposed to steganography, has an additional requirement of robustness against possible attacks. An ideal steganographic system would embed a large amount of information perfectly securely, with no visible degradation to the cover object.

一本很好的matlab实现的最优化的电子书。(Matlab achieve a good optimization eBook.)