Array-signal-processing

采用harry算法实现对凹点的搜索，基于matlab平台，通过更改参数可以实现凹点搜索的精度(Harry algorithm using concave point of the search, based on matlab platform, can be achieved by changing the parameters of precision concave point search)

减采样实例 增采样实例 线性插值实例 改变采样率实例(Reduce the sampling instance By sampling instance Linear interpolation examples Instance of changing the sampling rate)

瞬变电磁TEM层状介质正演.基于Matlab平台。地球物理学(TEM 1D forward)

matlab实现的符号计算，matlab课的作业(the matlab implementation Symbolic Computation, matlab homework assignment involved)

瑞利包络杂波条件下的CA-CFAR方法检测，效果不错。(Rayleigh clutter under the conditions of the envelope detection of CA-CFAR method, good results.)

主成分分析法的一个例子程序，在建模中应用(Principal component analysis, an example program in the modeling application)

suspension system of a half car

matlab编程 通过设定参数，画出相移布拉格光栅反射谱及色散，反射谱和时延的图象(matlab programming by setting parameters, draw the phase shift image Bragg grating reflection spectrum and dispersion, reflection spectrum and delay)

CBOC信号捕获算法，主要包括非相干联合捕获算法（NCC）、相干联合捕获算法（CC）、空间差分相干联合捕获算法(CBOC signal acquisition algorithm mainly includes noncoherent joint acquisition algorithm (NCC), coherent joint acquisition algorithm (CC) and spatial difference coherent joint acquisition 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)