kleinbauer

SAR点目标仿真原理和程序，雷达技术及信号处理作业(SAR point target simulation principles and procedures, radar technology and signal processing operations)

说明：  IEM仿真程序，可以高效的计算高斯面等粗糙面的后向散射系数(IEM simulation program, can be highly effective in terms of Gaussian faces rough surface after the backscattering coefficient)

File for performance of a buffer

本程序介绍了主流的几种DOA估计的方法，例如MUSIC、Capon等等一些算法(This program introduces several mainstream methods of DOA estimation, such as MUSIC, Capon, and so on.)

说明：  主要包括了用gui设计的计算机界面，能通过控件进行计算(including the use gui computer interface design, control through calculated)

飞行器-多输入多输出模型预测控制方法介绍(MIMO model preditive control)

The Z-source converter overcomes the conceptual and theoretical barriers and limitations of the traditional voltage-source converter (abbreviated as V-source converter) and current-source converter (abbreviated as I-source converter) and provides a novel power conversion concept. The Z-source concept can be applied to all dc-to-ac, ac-to-dc, ac-to-ac, and dc-to-dc power conversion.

说明：  重力资料处理异常分离来分离区域异常和局部异常(Gravity anomaly separation of data processing to separate regional anomalies and local anomaly)

自动控制原理，对原系统进行PID校正，观测BODE图以及时域波形的简要程序。(Automatic control theory, PID correction of the original system, a brief observation program BODE diagram and time-domain waveform.)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )