digitalgai

FMBC complexity analysis

常规PID与模糊PID的比较，模糊调节的速度更快。(Comparison between conventional PID and fuzzy PID)

elm极限学习机预测风速 预测精度高能够形成完成的预测风速 (elm ELM forecast wind speed high prediction accuracy can be formed to complete the predicted wind speed)

相位编码脉冲压缩雷达的多普勒补偿算法，实现对信号的补充(Phase-coded pulse compression radar Doppler compensation algorithm, the realization of the signal added)

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

常规波束形成算法 直线阵波束形成 适合初学者(Conventional beamforming algorithms linear array beamforming for beginners)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)

generation of pctc in matlab...simulation code

MATLAB 简单编程 包括很基础的程序(MATLAB programming including very simple basic procedures)

ARMA 模型最大似然估计MATLAB例程(ARMA model maximum likelihood estimation)