Waterfilling

：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.)

用数字图像处理的方法进行高速公路车流量的统计，在matlab平台上用的事背景差法。(Highway traffic volume statistics, the in matlab platform with the things background subtraction method of digital image processing.)

说明：  用于提取语音每帧的mfcc函数，将数据保存在cell文件中，可以直接使用cell，也可经过变换，提取到表格中使用(The MFCC function used to extract each frame of speech is saved in cell file. Cell can be used directly or transformed to extract the data into tables)

通过提取不变量特征来实现两幅图像之间的匹配(matching by two pointwhich are sift)

很好的正态分布matlab 代码，适合初学者！(Normal distribution matlab code good for beginners!)

说明：  MATLAB 7_0 在数字信号处理中的应用(超星图书，书中有例程的)(MATLAB 7_0 in the digital signal processing applications (Superstar books, book routines))

三次样条曲线插值函数的matlab源程序(three spline curvs)

讲述数据可视化的最经典的外文书籍 其中讲述了一些利用matlab 来实现可视化的程序(beautiful data visualization)

代码——Matlab 如何截取视频中的每一帧图像并保存(Code- Matlab how to intercept each frame in the video image and save)

数字宽带接收机的信道化处理下的常规雷达信号的信号检测与脉内调制模式识别(The digital wideband receiver channel of the conventional radar signal under the condition of signal detection and intra-pulse modulation pattern recognition)