Chapter1

说明：  给定一幅图片输出其直方图，灰度拉伸，均衡化后的灰度直方图(Histogram, gray stretch, equalization)

In this letter, we employ orthogonal random beam-forming (ORBF) for the worst-case multi-user downlink scenario whereeachuseriswiretappedby one eavesdropper. Two oppor-tunistic scheduling techniques that ensure confidentiality by ex-ploiting multi-user diversity are investigated thefirst technique (optimal) requires limited feedback of the effective signal-to-in-terference ratio (SIR) from all the users

：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.)

First a estimate of wireless sensor nodes is made and a network mesh will be created based on some topology techniques. A connection has to be established between Node I and all the vicinity nodes.

Depth fast search c programming

ofdm基本原理 信道估计基本算法研究 应用前景(the basic principles of ofdm channel estimation algorithm for application of basic)

对一条直线进行白噪声驱动下的静态逐次滤波(Static white noise in successive filtering)

这是一个matlab 太阳能电池的脚本程序(this is a matlab pv battery m-file)

偶编写的倒立摆系统的MATlab关于模糊自适应控制的对象和控制器S函数，以及Simulink模块文件，一个完全实现的倒立摆程序，发表文章很有用(Even the preparation of the inverted pendulum system on the Matlab fuzzy adaptive control of the object and the controller S function, as well as the Simulink module files, a full realization of the inverted pendulum process, published an article very useful)

simulator pcm with noise using matlab