recurrent

利用kalman实现目标跟踪的MATLAB源代码，能够实现。(Target tracking using kalman the MATLAB source code, can be achieved.)

基于贝塞尔函数的虚拟阵列的角度估计，实现宽带信号的DOA估计(Based on the angle of the Bessel functions of the Virtual Array estimated broadband signal DOA estimation)

拟合算法：通过matlab的拟合函数实现拟合(Fitting algorithm: fitting function through matlab realize fitting)

说明：  matlab基于小波变换，进行图像多尺度分析，提取各尺度下的图像信息。 (Based on wavelet transform for image multi-scale analysis to extract the scale of the image information.)

Matlab simulink radar

Geophysical Data Analysis Discrete Inverse Theory (Third Edition) Matlab Scripts for all the chapters.

轴承故障诊断.rar轴承故障诊断.rar(damage detection)

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)

主要用于实现雷达信号的处理，对四目标进行识别测速(Mainly used to implement the processing of radar signals for the four target recognition speed)

Bernstein_chebyshev_Lagrange等基函数编写和实现(Bernstein_chebyshev_Lagrange basis functions, such as the preparation and implementation)