DE-survey

求解系列重型商用车的平顺性，求解结果收敛性良好。(Solving a series of heavy commercial vehicles, ride comfort, and solving the resulting convergence is good.)

16QAM的调制，它把输入的二进制数据以查找表的方式进行映射，从而提高信息传输率。(16QAM modulation, it is the input of binary data to find a way to map the table to enhance information transfer rate.)

matlab和microsoft powerpoint的接口程序，欢迎指教，matlab代码(matlab and microsoft powerpoint interface procedures, welcome advice, matlab code)

标准的粒子群优化程序框架有助于初学者编程。(Standard Particle Swarm Optimization Framework programming help beginners.)

8PSK+weaver调制matlab程序(8PSK+ weaver modulation matlab program)

：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.)

说明：  对一个单位负反馈系统， 当k=1.5时，绘制其bode图和nyquist图；(For a unit negative-feedback system, when k = 1.5, rendering the Nyquist diagrams and Bode figure )

用于图像去噪算法实现，多种去噪算法在matlab 中的应用(Image denoising algorithm)

电网络matlab编程，对复杂电路用程序进行编程计算。(Electricity network matlab programming and application programming calculation complex circuit)

此函数用于产生脉冲超宽带系统的训练序列的波形。输出参数有三个：bits--发送的数据,stx--发送的信号,ref--参考信号 发送端调制方式为TH-PAM(The emerging ultra-wideband (UWB) system offers a great potential for high data rate wireless multimedia applications of the home entertainment and industry, as well as for low data rate sensor networks involving low power devices~cite{paragraph1}. One of the most acute challenges in realizing these potentials of the UWB systems is the timing acquisition. Timing errors as small as fractions of a nanosecond could seriously degrade the system performance~cite{paragraph21}. The difficulty in UWB synchronization arises from UWB signals being the ultrashort low-duty-cycle pulses operating at very low power density.)