DAILC

高频地波雷达海杂波仿真程序,可供做海杂波方针的同志参考(the simulation of sea clutter using in matlab)

协方差驱动的模态参数识别的SSI算法,基于斜拉桥的环境激励算法(Covariance-driven modal parameter identification of the SSI algorithm, based on the environmental incentive stayed algorithm)

说明：  matlab编程，实现灰色预测模型,基于当前已有的数据，用来预测未来一段时间内的发展趋势，对于线性发展趋势拟合情况很好，对于非线性预测差一点。(matlab programming, gray prediction model based on the current available data to predict future trends over time, the linear trends fit in good condition, almost nonlinear prediction.)

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.)

decoder of 2*2 mimo system.

Cartesian to geographic coordinate conversion.

说明：  使用非线性共轭梯度法求解优化问题，使用matlab编程求解，是最优化方向的基本代码(Using nonlinear conjugate gradient method to solve the optimization problem and MATLAB programming to solve it is the basic code of the optimization direction)

Control Sensor pour PMSM Boucle Complete

matlab入门培训教材，包括基本学习方法和基础知识的介绍(matlab Training course)

说明：  提出了正交频分复用(O FDM ) 系统中一种新的载波频偏估计算法L 载波频偏估计过程可分 为获取和跟踪, 其中, 获取过程和时间同步是同时完成的L新算法可实现的最大载波频偏获取范围 是整个信号带宽的一半L新的跟踪算法是一个最大似然算法, 在加性白噪声高斯信道(AW GN ) 下, 当N (训练序列长度的一半) 等于128 时, 其性能比Schm idl 算法提高约7127 dB 在多经信道下, 当 信噪比不是很高时, 新算法仍具有优势L(new carrier f requency offset est imat ion scheme in o rthogonal f requency division mu lt ip lex ing (O FDM ) system is p ropo sed. The carrier f requency offset est i2 mat ion includes acqu isit ion and t rack ing, and acqu isit ion as w ell as t im ing synch ro2 n izat ion can be perfo rmed simu ltaneou sly w ith h igh accu racy. The max imum acqu i2 sit ion range can be up to one half of overall signal bandw idth. The p ropo sed t rack2 ing est imato r is a max imum 2likelihood est imato r, and in AW GN channel, abou t 7127dB imp rovemen t is ob tained compared to the Schm idl’s algo rithm w hen N = 128 in mu lt ipath channel, the p ropo sed algo rithm wo rk s w ell at moderate SNR.)