busdatas

机动目标跟踪的交互式多模型自适应滤波算法的程序设计代码 单传感器方位角和高低角(Maneuvering target tracking interactive multi-model adaptive filtering algorithm programming code)

说明：  用matlab环境编写的一些程序，供初学者了解，研究和拓展(Matlab environment with some of the procedures written for beginners to understand, study and development of)

it is a source code for clustering in MATLAB

matlab仿真程序小练习，五个小程序的练习，很有参考的价值(matlab simulation program of small exercises, five small program of exercises, the value of a good reference)

说明：  已经验证过的64点FFT的Matlab源代码(64 points of FFT algorithm by been verified through matlab tool)

A simple OQPSK modulator

通过matlab编程对机械系统的可靠程度进行分析，计算出机械系统的可靠性程度。(Matlab programming by the reliability of the mechanical system analysis, to calculate the reliability of mechanical systems.)

说明：  LSTM简单例程及源程序，LSTM例程，源程序(LSTM routines, source code)

：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.)

云计算是一种商业计算模型。它将计算任务分布在大量计算机构成的资源池上，使各种应用系统能够根据需要获取计算力、存储空间和信息服务。 (Cloud computing is a business computing model. It computational tasks are distributed in a large number of computer resources of Ikegami, a variety of applications based on the need for computing power, storage space and information services.)