PowerFlow

一个基于Simulink的UKF教程,它涵盖了从设计，仿真，硬件在环测试，并建立一个独立的嵌入式系统的开发过程。(Unscented Kalman filtering tutorial: Simulink and tilt sensor case study. It covers the development process from design, simulation, hardware-in-the-loop testing, and creating a stand-alone embedded system. The content is supposed to be as simple/introductory as possible.)

功能描述：vblast的sic检测算法vblast的sqrd.m检测算法(demodulation for IEEE802.11a)

说明：  先用.txt文件导出杆系结构和梁系结构的用于节点校核的数据，然后用matlab程序计算即可进行构件验算(time. Txt file is derived bar structure and the structure of the beam system for checking the data node, then Matlab can be calculated for checking Component)

说明：  1.进行傅立叶变换 2.采用双循环处理图像噪声 3.逆变换输出图像(1. Fourier transform 2. With double loop handle image noise 3. Inverse transform the output image)

卡尔曼滤波器程序利用卡尔曼滤波器实现了对机动目标的跟踪(procedures for the use of Kalman filters to tracking moving targets)

winner2信道，多输入多输出无线通信的信道模型仿真(winner2 channel, multi-input multi-output wireless communication channel model simulation)

使用迭代算法对运动目标进行分割，阈值可以自适应调节(Using an iterative algorithm for moving target segmentation threshold can adaptively adjust)

采用移相控制与PI控制器实现双有源全桥控制(Phase shift control using dual active full bridge control and PI controller)

说明：  分数阶灰色单变量预测模型，可用于小样本不确定序列时间序列预测(time series forecasting)

最小二乘估计算法论文和matlab仿真源程序 (The least square estimation algorithm papers)