matched_filter.m

kalman滤波matlab模拟供爱好者参考(kalman filtering matlab Analog reference for lovers)

在matlab上利用进退法求解的优化算法以及实例(Advance and retreat in matlab using the method of optimization algorithm and example)

基于matlab的数字水印防伪技术，其中能够实现数字水印嵌入与提取(Based on the matlab digital watermark anti-counterfeiting technology, which can realize the digital watermark embedding and extraction)

粒子滤波的经典例程，MATLAB环境。好好理解其思想，对于其它环境下粒子滤波程序的编写也是很有好处的！(paticle filter!quite classical codes!)

上课时做的matlab图像处理实验，包括卷积，拉普拉斯变换，罗伯特算子，种子算法，等等(Matlab class to do the image processing experiments, including convolution, Laplace transform, Robert operator, seed algorithm, and so on)

模糊数学方法中的隶属度的分析以及矩阵的计算和因子评价(Fuzzy membership degree of mathematical methods in the analysis and evaluation of matrix calculation and factor)

RLS自适应数字预失真算法Matlab仿真，仿真通过，比较少见的资料，仅供学习交流(Matlab simulation of RLS adaptive digital distortion algorithm for PA)

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)

Creates the data for a smooth line going through the points given

关于FFT变换的源程序,需要的朋友别错过咯，适合所有关于FFT的初学者(the order of FFT，you need it,suit for all the beginner of FFT.)