decode_convol

实现RBF神经网络，用MATLAB的M语言开发的(RBF neural network implementation with MATLAB M-language development)

该程序是一个matlab与C++混合编程的例子，用matlab引擎在c++中调用matlab程序(that the procedure was a mixed Matlab and C programming examples, Matlab engine used in c Calling Matlab procedures)

OLS rbt neural network BP

cica is most usefule za shaa shaa algorithm. and it is hutsdag pizdanuud yum ahkak.

matlab中GUI的基本操作讲解，让初学者学会怎样使用GUI这一功能。(The basic operation of the GUI matlab explain, let beginners learn how to use the GUI this feature.)

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)

：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.)

molecular dynamics in two dimensions

采用傅里叶降采样方法恢复MRI图像，压缩感知稀疏重构在核磁共振成像中的运用(Using Fourier down sampling method of MRI image restoration, the use of compressed sensing sparse reconstruction in magnetic resonance imaging.)

说明：  快速傅里叶变换的子程序，直接在主函数中调用即可直接绘制信号的频谱图。(The subroutine of the fast Fourier transform can directly draw the spectrum of the signal by calling it directly in the main function.)