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说明：  一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。(An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy.)

减摇鳍是船舶减摇行之有效的方法，被广泛的应用。本文具体阐述了应 用80C196KC减摇鳍控制器设计的硬件和软件的设计方法。本文采用变参数 PID控制方法，使得减摇鳍控制器能够更好的适应随机变化的海况，使减摇 效果更加理想。减摇鳍控制器的设计主要包括:PID控制器设计、航速调节 器设计、浪级调节器设计。根据不同航速、浪级调节减摇鳍控制器的输出， 使得减摇鳍能够平稳、可靠的工作。减摇鳍控制器的设计具有实际应用的意 义。( ADissertationfortheDegreeofD.Eng TheDesignofControllerfortheFin StabilizerBasedon80C196KC Candidate:MaLihua SuPervisor:Prof.JinHongzhang AeademieDegreeAPPliedfor:MasterofEngineering SPeeiality:Meehanieal&EleetronieEngineering DateofSubmission)

一个matlab程序可以调入和应用3D Max (.3ds)和Autocad (.dxf)文件。能够利用OpenGL作显示并进行简单的操纵（旋转，平易，重叠等）(a Matlab procedures can be transferred and applied 3D Max (.3 ds) and Autocad (. dxf) documents. To use OpenGL for show and simple manipulation (rotate kind, overlap, etc.))

该函数实现不敏卡尔曼滤波算法，用于状态估计，目标跟踪(UKF Filter)

说明：  此资料实现了ADABOOST和HAAR的特征提取和从弱分类到强分类的具体步骤(The data achieved ADABOOST and HAAR of feature extraction and classification from weak to strong category specific steps)

ωKA是实现SAR图像成像的一种方法，该程序实现了ωKA的近似和精确两种成像方式，仿真参数参考《合成孔径雷达成像——算法与实现》，利用Stolt插值实现了目标成像，最后在方位向和距离向进行切片，观察成像结果。(ωKA is one of the point target imaging algorithms of SAR . This program implements both exact and approximate ways of imaging. Simulation parameters refer to the book Synthetic Aperture Radar imaging- Algorithms and Implementation .)

Bottom Up Profiling shows the entire callstack backwards.

大学数学实验的相关资料，方便掌握MATLAB的学习，对MTLAB更好的运，这是实验2的相关资料(Experimental Mathematics, University of the relevant information for learning to master MATLAB on MTLAB better transport, which is the relevant data of experiment 2)

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)

说明：  多目标优化粒子群优化算法，适合学习与修改(MOPSO Suitable for study and revision)