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Alamouti space time coding simulation Maximal Ratio Combining BER simulation

A good survvy in the field of segment and other direction.How to choose a better method to improve the effect.

class to produce an X.509 Version 3 certificate.

Mapping and Demapping technique for Alamouti coding in Matlab command line.

些程序是一个雷达跟踪一目标的仿真图形,可实现kalman滤波的估计轨迹与真实轨迹的误差,并分别可绘出X,Y方向的跟踪误差,对初学都来说,是一个非常好的学习例子(These procedures is one goal of a radar tracking simulation graphics, can be realized kalman filter estimated trajectory with the true trajectory error, and can be mapped, respectively, X, Y direction of the tracking error for both novice, it is a very good learning examples)

calculates waiting time for vehicle routing problem with time window.

小波图像融合，采用用量一样的图像（但每张图像不同的位置发生模糊），融合产生尽量清晰的图(Wavelet image fusion, the amount of the same image (of the location of each image blur), and fusion to produce as clear as possible in Figure)

LMS算法及仿真实现，在等高线性能平面上绘制出了滤波器系数的运动轨迹和最优滤波器系数，以及错误概率的变化趋势。针对迭代次数变化和迭代步长变换分别作了相关讨论。(LMS algorithm and the simulation realization, in contour performance plane drawing out of the filter coefficient trajectory and optimal filter coefficient, and the change tendency of the error probability. According to the iteration times change and iterative step length transform the discussion related respectively. )

四轴飞行器PID控制。Simulink仿真。内外环控制。(Quadcopter PID control. Simulink simulation. Inner and outer loop control.)

蒙特·卡罗方法（Monte Carlo method），也称统计模拟方法，是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明，而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数（或更常见的伪随机数）来解决很多计算问题的方法。与它对应的是确定性算法。蒙特·卡罗方法在金融工程学，宏观经济学，计算物理学（如粒子输运计算、量子热力学计算、空气动力学计算）等领域应用广泛。(The Monte Carlo method, also known as the statistical simulation method, was proposed in the mid-1940s due to the development of science and technology and the invention of electronic computers. A very important numerical calculation method for classes. Refers to the use of random numbers (or more common pseudo-random numbers) to solve many computational problems. Corresponding to it is a deterministic algorithm. The Monte Carlo method is widely used in financial engineering, macroeconomics, computational physics (such as particle transport calculation, quantum thermodynamics calculation, aerodynamic calculation).)