运用FDTD算法实现天线的仿真 ThreeDimensional

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

基于Matlab软件平台的若干个实验实例，是初学者很好的练手材料。(Several experimental examples Matlab-based software platform, is a the beginners practiced hand material. )

mobility models for wirelss networks

匹配追踪和正交匹配追踪，采用偏最小二乘法，最小二乘回归分析算法。( Matching Pursuit and orthogonal matching pursuit, Partial least squares method, Least-squares regression analysis algorithm.)

说明：  1对一段音频进行matlab双声道限时取样，并画图 2产生一段随机整数噪声，并加入到原样本中(1 on a two-channel audio matlab limited sampling, and drawing a random integer generated noise 2, and added to the original sample)

利用Kalman Filter进行机动目标跟踪的例子，附有详细的说明文档(use for tracking moving targets example, with detailed documentation)

MATLAB 算法大全，找到的比较好的学习资料(MATLAB algorithms Daquan, found a better learning materials)

calssification algorithm

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

基于Matlab上，实现GMSK调制解调，Simulink文件。(Matlab-based, the realization of GMSK modulation and demodulation, Simulink files.)