Maltab-shuxuejianmo

说明：  Efficient Resource Allocation Algorithm for Cognitive OFDM Systems

Von.Mises准则的平面有限元程序，摘自Jiangyansheng s paper(Plane finite element program Von.Mises guidelines)

进行逐步线性回归，阐述了负荷预测的应用研究,通过虚拟阵元进行DOA估计，最小均方误差（MMSE）的算法，添加噪声处理，相控阵天线的方向图（切比雪夫加权），直线阵采用切比学夫加权控制主旁瓣比。( Stepwise linear regression, It describes the application of load forecasting, Conducted through virtual array DOA estimation, Minimum mean square error (MMSE) algorithm, Add noise processing, Phased array antenna pattern (Chebyshev weights), Linear array using cut than learning laid upon the right control of the main sidelobe ratio.)

基于Matlab利用零记忆非线性变换法求瑞利雷达杂波(Rayleigh radar clutter based on Matlab and zero memory nonlinear transformation method)

RLS,Demonstration of Wiener filter,LMS filter,Steep-descent algorithm (RLS, Demonstration of Wiener filter, LMS filter, Steep-descent algorithm)

elshebri source code

容积卡尔曼滤波例子.学习卡尔曼滤波的工具(Cubature Kalman Filter example)

文章，关于四旋翼飞行器建模、控制与仿真。(Articles about four rotor aircraft modeling, control, and simulation.)

说明：  We are researching robot localization techniques which fuse dead reckoning measurements with range measurements from stationary radio beacons in the robot s environment. This site provides Matlab code for three algorithms explored thus far -- an Extended Kalman Filter, a Particle Filter, and a Sliding Batch method -- as well as .mat files containing data collected from a robot driving and receiving range measurements over different paths. Two such data sets are provided.

Simulation of constant modulus algorithm for smart antennas