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数学建模例题集非常有用，数学建模例题集非常有用(mathematical modeling examples set very useful mathematical modeling is very useful examples Set)

WSN定位算法MDS-MAP的MATLAB程序，可以根据自己组网的参数需要修改，直接可以运行得到结果。是一个可供学习的好资源。(MATLAB WSN localization algorithm MDS-MAP program. The networking parameters can be modified. The codes can be directly run. It is a good resource for learning.)

说明：  I don t know what it is

说明：  Acá estoy reparando este Chip goldpy xy8103~xy8106 EJ: boarth EBT6009 ver 2.0 chip LD2066 P50F 1-010 0919 nand hinix H27UAG8T2ATB

matlab实用程序百例，书中的例子，适合初学者(MATLAB examples)

利用周期图法对信号进行功率谱估计，源代码，有详细的注解，供参考(Periodogram method using the signal power spectrum estimation, source code, there are detailed notes for reference)

说明：  量子粒子群算法的matlab原程序，采用量子技术在收敛速度方面优于遗传算法(Quantum particle swarm algorithm matlab original program, the use of quantum technology is superior to the genetic algorithm in terms of convergence speed)

very important to understand tomography of medical MRI images

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

RBR海洋要素数据处理（数据的自动识别截取，温盐剖面图）(RBR marine elements of data processing (automatic identification data capture, thermohaline sectional view))