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地震褶积模型，最简单的抛物线，可以在修改增加内容(seismic conv models)

用matlab采集语音，信号加噪去噪，以及fft变换(With Matlab acquisition Voice, the signal plus noise denoising, and fft transform)

Fibonacci问题，sicily 张老师题目(Fibonacci problem, sicily Zhang topic)

四个用C写的，用于处理ENVISAT卫星SAR数据的程序。(Here we have 4 c programs to handle ENVISAT data.)

深度典型相关性分析，在线性的CCA上增加了深度网络，以此来学习新特征并提高多模态数据之间相关性( Deep cca ,the deep network is added in linear CCA to learning description that the correlation is better between multi-modal datas)

自编MATLAB,里面包括：31点滚降，4psk程序，new眼图，等等(Self MATLAB, which includes: 31 point roll, 4psk procedures, new eye, and so on)

某石油公司计划建造一条由东向西的主输油管道。该管道要穿过一个有n 口油井的油田。从每口油井都要有一条输油管道沿最短路经(或南或北)与主管道相连。如果给定n 口油井的位置,即它们的x 坐标（东西向）和y 坐标（南北向）,应如何确定主管道的最优位置, 即使各油井到主管道之间的输油管道长度总和最小的位置?证明可在线性时间内确定主管道的最优位置。(An oil company plans to construct a east to west from the main pipeline. The pipeline to pass through an oil field n wells. Wells from each must have a pipeline along the shortest path (or South or North) connected with the competent Road. If given the location of oil wells in n, that is, their x coordinates (east-west) and y coordinates (north-south), should be how to determine the optimal position in charge of Road, even if the wells to the pipeline in charge of Road between the sum of the smallest length location? proved to be linear time to determine the optimal position in charge of Road.)

MATLAB混合编程课程设计资料（VC，VB） 在Matlab环境下实现混合编程的学习者可以下载(MATLAB hybrid programming curriculum design information (VC, VB) in the Matlab environment to achieve mixed programming learners can be downloaded.)

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.)

Based on ECMA 2 Draft 7 February 1999.