method1

this code for integrator for 8 bit signal

说明：  大家好，本程序功能是VC环境下Matlab组件后绑定的实现，希望对大家有所帮助(Hello everyone, this program features is the VC environment Matlab after the binding components to achieve, I hope all of you to help)

采用JPDA数据关联算法实现两个个匀速运动目标的点迹与航迹的关联(JPDA data association algorithm using a uniform motion of two point targets associated trace and track)

this is can apply to run simulink

基于capon的波束形成 适用于工程 毕业(Based capon beamforming applied to engineering graduate)

简单的卡尔曼工具箱，易于上手，主要包括源代码，但不包含例程，自己做了写注释。(simple KALMAN toolbox，easy to understand and revise,include some nessesary remark according to application.)

Bits error rate, convolution coding, BPSK, AWGN, Simulation and theory

Wind turbine generators (WTGs) are usually equipped with mechanical sensors to measure wind speed and turbine shaft rotating speed for system monitoring, control, and protection. The use of these sensors increases the cost and hardware complexity and reduces the reliability of the WTG system. This paper proposes a novel real-time speed estimation algorithm for wind turbines equipped with doubly-fed induction generators (DFIGs).

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

一片介绍双估计的很好的文章。同时估计动态系统的状态和模型参数，使用扩展kalman filter和ukf方法，很有参考价值(Introduce a dual-estimated good article. At the same time, the estimated dynamic system state and model parameters, the use of extended kalman filter and UKF methods, useful reference)