arima

用MATLAB语言编写的pade近似程序，本人保留版权(the analysis of pade)

：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.)

Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification

this zip is uploaded for the aim so that the user will be abel to create double panels arrays used in matlab and so on for the aim of help

对于常见的数学建模案例的研究分析 以及常用方法(Analysis as well as commonly used method for common mathematical modeling case study)

algoritmo pavilis, para el adelgazamiento de imagenes

解二维possion方程，利用pcg方法求解第一类边值问题(Solution the dimensional possion equation, using the pcg method for solving the First Kind Boundary)

Peak to Peak Analysis

说明：  在matlab7中可以运行。其功能是实现用CV模型对灰色图像进行分割。(It Can be run in matlab7. function: It can make the gray image segmentation using the CV model .)

一个关于卡尔曼滤波的程序，自己编的，希望对初学matlab的同学有用(A Kalman filter program, compiled hope Matlab beginner students)