钢筋混凝土梁非线性分析

这个是收集的一个用matlab编写的车牌定位的程序，很好用的(This is a collection of plates prepared using matlab positioning procedures, good used)

对CT切片进行三维重建，并把三维数据导出为STL,(Three-dimensional reconstruction of the CT slice, and export the data as a three-dimensional STL)

PID 控制算法及扩展算法的仿真代码，建议学习控制的同志参阅一下(PID control algorithm and the expansion of the simulation algorithm code, the proposed learning control comrades see what)

digital image processing using matlab, 这里有许多程序员编的函数，以及一些具体的例子，怎么来应用这些函数实现图像处理(digital image processing using matlab, here there are many programmers made a function, as well as some specific examples, how to apply these functions to achieve image processing)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

about wireless sensor network

TLP181 Datasheet (PDF) - Toshiba Semiconductor

在MATLAB下使用Doolittle算法对矩阵进行LU分解(Doolittle algorithm in MATLAB using the matrix LU decomposition)

粒子群算法（PSO）实例应用，优化计算梯级水库水位、发电量(PSO hydropower)

分别对matlab和ansys两种平台的拓扑优化结果分析比较，为学习者提供了两种不同优化设计思路，过程详细清晰，易于学习理解(The analysis and comparison of topology optimization results between MATLAB and ANSYS two platforms provide two different optimization design ideas for learners. The process is clear and clear, and easy to learn and understand.)