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一种基于区域活动轮廓模型，通过引入局部的图像拟合能量来提取图像的局部信息，能够有效的额分割强度不均一的图片。较传统的水平集方法有更少的计算量(By introducing the local image fitting(LIFenergy to extract the local image information,our model is able to segment image with intensity inhomogeneities.)

地震波的显示，位移反应谱，速度反应谱，加速度反应谱的计算。(Display of seismic waves, the displacement response spectrum, velocity response spectrum, calculates the acceleration response spectrum.)

Subspace Pursuit for Compressive Sensing

psnr and video watermarking

Fang算法利用三个基站对信号源位置进行二维的定，是信号源无源定位的一种基本方法。本程序基于MATLAB，对Fang算法定位的过程进行了仿真。希望能对研究无源定位的同志给予帮助。(Fang base algorithm uses three-dimensional location of the source fixed, the signal source is a basic method of passive location. The program is based on MATLAB, Fang algorithm for the simulation process of positioning. Hoping to study passive positioning of the comrades for help.)

仿真分析相控阵雷达中二维面阵的雷达方向图以及一些其他因素对方向图的影响，以及随机误差和量化误差的影响(Simulation analysis of radar direction Fig. 2D phased array radar array and some other factors on the direction map, and the effect of random error and quantization error)

KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors

关于MATLAB与双馈风机接口计算智能算法(About MATLAB and DFIG computational intelligence algorithms Interface)

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.)

自适应控制的东西，看看吧好东西的，喜欢吧谢谢了(adaptive control of things, good things, let's see it, a thank you like it?)