NNClassification

仿真空时分组编码的误码率曲线，通过空时分组的性能曲线，得到其分集优势(Simulation of space-time block-coded BER curves, through the space-time block of the performance curve, by its sub-set of advantages)

基于ARMA（2）模型的光纤陀螺建模及kalma滤波算法(Based on the ARMA (2) model of the fiber optic gyroscope Modeling and Kalma filtering algorithm)

view 3d features displayed in color

【matlab编程代做】FSK扩频仿真 可以作为参考使用源码([Do] matlab programming generation FSK spread simulation can use as a reference source)

蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.)

一個簡單的小程式用於建構Markowitz投資組合。(This program is used for modeling Markowitz portfolio.)

Program made in matlab for calculating matrices trough elemental matrix methood.

说明：  x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析(x = 2* sin (4* pi* t) 5* cos (8* pi* t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis)

改源码是《MATLAB仿真技术与应用》这本书的配套光盘matlab源码。(Source is diverted to )

说明：  基于matlab的卡尔曼滤波器设计。主要是可以显著消除随机误差。(Based on the Kalman filter design matlab. Mainly can significantly eliminate the random error.)