matlab-algorithm-highlights

医学图像分割的实验报告(包含源程序)，主要内容包括：不同算子（Sobel、Prewitt、Roberts、Laplacian）的边缘提取效果分析；阈值分割；以及watershed方法的分割讨论。(The implementation and discussion for fundamental medical image segmentation algorithms, including edge extracting algorithm, thresholding methods and watershed method.)

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GPS TOOLBOX包含以下内容： 1、GPS相关常量和转换因子； 2、角度变换； 3、坐标系转换：  点变换；  矩阵变换；  向量变换； 4、专用测绘程序； 5、专用统计函数； 6、GPS时间工具； 7、专用GPS数据处理函数； 8、航迹和相关工具； 9、卫星位置计算； 10、高度和方位角判定，以及卫星可见性； 11、DOP（dilution of precision）计算，卫星选取和相关函数； 12、专用信号处理和Kalman滤波函数； 13、伪距和误差判定及相关函数； 14、用户位置判定及相关函数； 15、RAIM/FDE可用性和完好性评估相关函数。 (GPS TOOLBOX contain the following elements: 1, GPS-related constants and conversion factor 2, the perspective transform 3, coordinate system conversion:  point transform  matrix transformation  vector transform 4, private surveying and mapping procedures 5, specialized statistical function 6, GPS time instrument 7, a dedicated GPS data processing function 8, track and related tools 9, satellite position calculation 10, height and azimuth determination, as well as satellite visibility 11, DOP (dilution of precision) calculation , satellite selected and related functions 12, special-purpose signal processing and Kalman filtering function 13, pseudo-range and error determination and related functions 14, to determine user location and related functions 15, RAIM/FDE availability and good assessment of correlation function.)

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基于LBG算法的矢量量化码书设计的Matlab程序(LBG algorithm based on vector quantization codebook design procedure of Matlab)

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen

粒子群算法 最初版本，输入函数就可，fitness为目标函数(The initial version of the particle swarm algorithm, the input function can be objective function, fitness)

a program to find the edges of particles in an image.

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说明：  Matlab编写的压缩感知的库函数，包括稀疏分解和重构。(Written in compressed sensing Matlab library functions, including the sparse decomposition and reconstruction.)