CONVCON

matlab 程序设计教程的程序代码，一共105个文件(code of book matlab program design)

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

说明：  这次上传的程序源码是关于EM算法的编程实例。(The upload process is on the EM algorithm source code programming examples.)

本文件为学习视频，希望对matlab的学习者有用。(This document is learning video, hope to be useful matlab learners.)

《matlab6.5辅助小波分析与应用例程》一书的源代码("matlab6.5 assisted with the application of wavelet analysis routines," a source code book)

spectrum_sub是谱减函数，使用谱减的方法达到降噪的目的，对于一般的平稳信号效果特别好。(Spectrum_sub is spectral subtraction function, using the spectral subtraction method to achieve the purpose of noise reduction, for general stationary signal effect is very good.)

相位恢复算法，里面的滤波器用Matlab编写(phase recovery algorithm)

Contemporary optical image processing with matlab

对后项散射去噪声 对目标进行水下去噪处理 (The latter scattering noise underwater target denoising)

说明：  在过去的几年中, 背包问题吸引了众多理论研究人员和应用工作者的注意力, 因而得到了广泛而深入的研究。理论方面, 研究兴趣主要来自于该问题简单的结构, 而这种特点既可以深入探索许多组合特性, 又可以通过解决一系列背包子问题来最终求解更为复杂的优化问题。实践方面, 这些问题可以表述许多工业场合的应用, 最典型的应用包括货 物装载、存储分配和资本预算等等。在寻找背包问题可行解的过程中, 出现了众多的算法, 本文是利用MATLAB 程序求背包问题可行解的一种算法。(In the past few years, knapsack problem has attracted many researchers and application of theoretical attention of workers, which has been extensive and in-depth study. Theory, research interest mainly from the simple structure of the problem, and this characteristic combination of both in-depth exploration of many features, but also can solve a series of knapsack sub-problems to solve more complex final optimization problem. Practice, these problems can be expressed in many industrial applications where the most typical applications include cargo loading, storage, distribution and capital budgets, and so on. Knapsack problem in finding feasible solutions in the process, there have been many algorithms, this is the knapsack problem using MATLAB program seeking a feasible solution algorithm.)