TwoD-ocean-wave

包括四个MATLAB的基本算例程序，实用安全放心 (Includes four basic example MATLAB program, practical security assured)

dv-hop算法改进的matlab仿真程序，提高了算法的覆盖率。(Improvement of DV-Hop)

ωKA是实现SAR图像成像的一种方法，该程序实现了ωKA的近似和精确两种成像方式，仿真参数参考《合成孔径雷达成像——算法与实现》，利用Stolt插值实现了目标成像，最后在方位向和距离向进行切片，观察成像结果。(ωKA is one of the point target imaging algorithms of SAR . This program implements both exact and approximate ways of imaging. Simulation parameters refer to the book Synthetic Aperture Radar imaging- Algorithms and Implementation .)

assignments of matlab

matlab论文，对于一些人可能有用的。第一次上传，不是很精通。呵呵(matlab papers may be useful for some people. The first upload is not very proficient. Hehe)

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)

ofdm的详细仿真，包括信道，多径，及多部分的波形，详细的说明(OFDM detailed simulation, including channel, multi-path, and multi-part of the waveform, a detailed description of)

介绍了时域有限差分(FDTD)法的基本原理,推导了二维TM模Yee算法的FDFD表达式,并结合算例阐述了基于MATLAB编程的基本方法(on the finite-difference time-domain (FDTD) method to the basic principles Derivation of 2D TM mode Yee's theorem expression, and explained with examples based on MATLAB programming methods)

自适应（LMS）算法在噪声抑制中的应用。在仿真中，原始信号选为sin((0.2*pi)*t), 噪声信号采用标准白噪声，延迟D=1，收敛因子分别是u=0.001和u=0.3(Adaptive (LMS) algorithm in noise suppression application. In the simulation, the original signal is selected sin ((0.2* pi)* t), noise signal using the standard white noise, the delay D = 1, respectively, convergence factor u = 0.001 and u = 0.3)

Direct torque control simulink