hybrid_powertrain_P5

说明：  根据个体三期的就业状态及分类出错的概率计算实际失业率(According to the individual' s employment status and classification of three errors in the probability of the actual unemployment rate)

This is the frank_wolfe algorithm for order 3.

复杂网络的介数求解，复杂网络，介数，matlab (Betweenness solving of complex networks, complex networks, the number of referrals, matlab)

子阵级自适应天线数字波束行程方法研究，线性最小化方差方法(Subarray adaptive antenna the digital beam travel method, linear minimum variance method)

数字信号解调（接收端），包括：“删除干扰噪声信号”，“从载波信号中提取原始信号”，“滤波器滤波”，“用PSK解码，把图形变成数字信号”。(Digital signal demodulator (receiver), including: " to remove interference noise signal," " carrier signal extracted from the original signal," " filter" , " with PSK decoding, graphics put into a digital signal." )

dynamic model of asynchrones machine

LZ编码的程序，分为了几个文件，有利于学习。(LZ encoding process, is divided into several files。It s easy to learn)

：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.)

关于卡尔曼滤波的最经典起步资料，介绍卡尔曼滤波协同算法，值得学习(A classical paper which introduce the Kalman filtering algorithm,especially for the Kalman-Consensus filter)

matlab灰色预测模型问题，并求出相对误差(The problem of the matlab gray prediction model, and calculated the relative error)