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Prentice Hall Book----"Mathematical Methods and Algorithms for Signal Processing" matlab 源代码(Prentice Hall Book----"Mathematical Methods and Algorithms for Signal Processing" matlab source code)

用脉冲耦合神经网络实现灰度图像的分割,基于matlab 6.5版本以上的开发环境(Using pulse coupled neural network segmentation of gray image)

本程序可以作为matlab插值使用，并可经过改变变量进行修改(This program can be used as matlab interpolation used and may be modified after changing the variable)

Image cropping, basic - MATLAB(Image cropping, basic- MATLAB)

关于如何改进自己编程的习惯和养成一个良好的编程风格的描述，是一本值得一看的书(On how to improve their own programming habits and develop a good description of programming style, is a book worth a visit)

ABC metaheuristic algorithm to general optimization problem

matlab写的神经网络的几个演示程序，有的是自己写的，有的是根据别人写的改的，bp、rbf、pnn、hopfield等(matlab neural network to write a few demo program, some wrote it myself, some other people to write in accordance with the change, bp, rbf, pnn, hopfield etc.)

：探索一种能有效抑制和消除颅脑MRI运动伪影产生的方法，以提高图像质量和工作效率。方法：利用包装CT管球的海绵，设计并制作了2 cm x 7．5 cm x 22 cm，3 cm x 7．5 cm x 22 cm，4 cm×7．5 cm x 22 em等3种规格的海绵垫， 配合使用颅脑正交线圈进行颅脑MRI检查。结果：采用“加垫法”行颅脑MRI检查2 638例。其中，一次性扫描成功2 633 例(占99．81％)，失败5例(占0．19％)； 在扫描失败的5例患者中，第2次扫描时配合使用医用绷带成功4例。失败l例。结论：采用“加垫法”行常规颅脑MRI扫描，方法简单、可靠。可有效抑制和消除运动伪影的产生，提高图像质量和工作效率。(To explore a brain can effectively inhibit and eliminate motion artifacts of MRI approach to improve the image quality and efficiency. Methods: The CT tube packing sponge ball, designed and made 2 cm x 7.5 cm x 22 cm, 3 cm x 7.5 cm x 22 cm, 4 cm × 7.5 cm x 22 em 3 sizes, etc. sponge pad, with the quadrature head coil using brain MRI. Results: The " plus cushion Law" the Brain MRI examination 2 638 cases. Among them, the one-time scan is successful 2 633 cases (99.81 ), failed in 5 cases (0.19 ) Conclusion: " plus cushion Law" routine brain MRI scan, the method is simple and reliable. Can effectively suppress and eliminate motion artifacts, and to improve image quality and efficiency.)

说明：  我最近用MATLAB做的语音处理实验，含有3种处理方式，希望对大家有帮助。(I have recently done with MATLAB voice processing experiments, containing three kinds of approach, I hope all of you help.)

this is matlab code (this is matlab code)