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自适应滤波中的最速下降法仿真程序，课程的大作业，可以绘制梯度曲线(Adaptive Filter steepest descent method simulation program, course the big job, you can draw the gradient curve)

对一帧图像进行信噪比等因素的检测，比较实用(Image on a detection signal to noise ratio and other factors, more practical)

该书详细介绍了Boost库的数十种子库，是目前为止我找到的最详细的Boost库中文书籍(The book details the Boost libraries dozens seed bank, is by far the most detailed I ve found Boost library books Chinese)

matlab 程序语言 物件导向编码引导手册(A Guide to MATLAB Object-Oriented Programming- A Register)

一个比较实用的MATLAB入门教程，分为基本知识、数值分析 、绘图等几部分。(A more practical MATLAB Tutorial)

机器人的simulink模型，能够看到原代码。希望对你的学习有所帮助。(robot Simulink model will be able to see the original code. You want to learn some help.)

V带传动多目标优化设计 凸轮轮廓的设计计算与绘图(V-belt drive cam profile design of multi-objective optimization design calculation and drawing)

关于合成孔径雷达成像的非常好的论文。原理分析清楚详细，易懂(On synthetic aperture radar imaging of very good papers. Principles of clear and detailed, easy to understand)

Dbscan 算法的matlab代码，是经典的聚类算法，可以用来分类(it s Dbscan, a classic algorithm, which can be employed to classify the spatial data. )

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.