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％％％ Demos for PUMA algorithms ％％％ We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images. All you need to do is to run each of the demos. Please be sure that all the files are put on an accessible path for matlab. Notice that this code is intended for research purposes only. For further reference see "Phase Unwrapping via Graph Cuts, IEEE Transactions on Image Processing, 2007( Demos for PUMA algorithms We present four matlab demos for PUMA. Demo1, demo2, demo3, and demo4 illustrate PUMA working with different parameters and with four different images.All you need to do is to run each of the demos . Please be sure thatall the files are put on an accessible path for matlab.Notice that this code is intended for research purposes only.For further reference see )

For inverting a matrix, Gauss-Jordan elimination is about as efficient as any other method. For solving sets of linear equations, Gauss-Jordan elimination produces both the solution of the equations for one or more right-hand side vectors b, and also the matrix inverse A(-1). However, its principal weaknesses are (i) that it requires all the right-hand sides to be stored and manipulated at the same time, and (ii) that when the inverse matrix is not desired, Gauss-Jordan is three times slower than the best alternative technique for solving a single linear set.

matlab isodata聚类算法重要函数四个，涵盖了isodata聚类算法的中心内容(clustering algorithm matlab isodata important functions four, covering the central elements isodata clustering algorithm)

用于计算互近似熵，互近似熵是两个信号之间不同步的量度。模糊熵与互信息(It is used to calculate the mutual approximate entropy, and the mutual approximate entropy is a measure of the non synchronization between the two signals)

Zernike moments calculation. Two functions, one for polynomial calculation and one for moments calculation

matlab implemation of box filter

说明：  一种自适应滑模控制器的MATLAB设计程序(An adaptive sliding mode controller design of the MATLAB program)

说明：  MATLAB中用于时间序列分析的arma（）函数的定阶(MATLAB, for time series analysis arma () function of order determination)

说明：  用于预测航运港口利用率的神经网络模型，基于时间递推。泛化(time chain for port)

Dirichlet Process Mixture Models.