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本程序描述的是如何用MATLAB语言来编写低通过程的程序(low-passprocess)

Please always check http://research.baycrest.org/~jimmy/NIfTI for detail descriptions and latest updates. If you are confused by the Left / Right of an ANALYZE image, you can consult http://research.baycrest.org/~jimmy/UseANALYZE.htm You may also want to read http://research.baycrest.org/~jimmy/NIfTI/FAQ.htm

it is about ldpc codes

simulink一些应用实例和相关练习 很与参考价值(simulink some application examples and related exercises are with the reference value)

说明：  读、写surfer文本的GRD格式的matlab程序，适合不需要插值的数据读写，比surfer自带的数据网格化功能处理的速度要快几十倍、甚至上百倍，可以处理大容量数据。(Reading and writing text surfer GRD format matlab program for reading and writing data without interpolation, the grid than the surfer' s own data processing capabilities several times faster, or even a hundred times, can handle large amounts of data.)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

基于超平面 欠定盲分离源信号的混合矩阵的估计(underdetermined Blind Source Separation)

实现图像的拼接与融合，使用SIFT方法，拼接效果较好，例程为两个图片的拼接，实际可实现多个图片拼接(image mosaic)

说明：  LBM方法在相变模型中的应用,并包含边界条件的处理方式(The application of LBM method in phase change model, which contains how to deal with boundary condition)

说明：  用最速下降法、共轭梯度法、牛顿法、BFGS求解范例目标函数.(Solving the case objective functions using the steepest descent method, conjugate gradient method, Newton method and BFGS method.)