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用matlab实现的视频读取并提取目标背景，对初学者很有用(failed to translate)

多种方法（软硬阈值、自适应阈值等）进行小波去噪的matlab...( denoise by wavelete methods)

MATLAB图像标记，可以对图像中的你感兴趣的区域进行提取和标记，为后续分析提供帮助，程序可运行(MATLAB image tag, the image of the region of interest you can be extracted and tag, provide help for subsequent analysis, program can be run)

求解过程中，由于几何模型发生变化而导致区域网格改变时会出现几何结构的连续性问题。本章中，我们举两个例子——流道中由于不同尺寸孔板引起额外压力损失问题是稳态几何连续性的一个例子。从概念来看，这个问题与第5章贝纳尔问题中通过Rayleigh数进行的变量连续性没什么不同。第二个例子是液体中悬浮的乳胶颗粒的干膜。在这个问题中，考虑了两个移动前缘；一个通过坐标变换，另一个通过光滑界面模型。该技术对于之前模拟该问题采用的移动弱项方法有所改进。(Solving process, due to geometry changes and the continuity of the geometric structure of the regional grid changes. In this chapter, we give two examples- the flow channel due to the different size orifice caused by the additional pressure loss is an example of the steady-state geometric continuity. Variable continuity standpoint, this issue in Chapter 5 Bernal Rayleigh number is no different. The second example is a dry film of the latex particles suspended in the liquid. In this problem, consider the two move the leading edge a coordinate transformation, and the other by the smooth interface model. The technology used before to simulate the mobile weaknesses improvements.)

是美国统计学家萨尔斯伯格以“女士品茶问题”为切入点所著的一部关于统计学历史与变革的书，以一种全新的视角带领读者进入统计学的世界，体会统计学带给哲学观、宇宙观的变革(Salthe Berg statistician USA to Lady Tasting Tea problem as the starting point of a statistical history and change of the book, with a new view and lead the reader into the world of experience of statistics, statistics to philosophy, cosmic view change)

说明：  IIR filter implementation DFT

说明：  Matlab的Aerospace Blockset模块的介绍和应用，是mathwork公司提供的文档。(Aerospace Blockset of Matlab introduction and application module is provided mathwork documents.)

改进的灰色预测模型,简单实用，可用于经济预测及其他预测问题，预测精度高 (Improved gray prediction model, simple and practical, can be used for economic forecasts and other prediction, forecast accuracy)

matlab 开发的标准粒子群算法 用于优化计算(matlab development of standard particle swarm algorithm for optimizing calculation)

SUSAN-based functions to detects image edges and their orientation(SUSAN-based functions to detects image ed celebrated and their orientation)