Based-matlab-of-delay-equation

说明：  基于MATLAB的小波分析基础丛书，通俗易懂，很容易上手(Based on MATLAB-Wavelet Analysis basic books, user-friendly, it is easy to use)

利用matlab进行五点滑动平均法平滑处理(Using matlab five-point moving average smoothing method)

MATLAB函数速查手册！方便新手学习matlab。(MATLAB function Quick Reference! Easy for novices to learn matlab.)

DFT进行频谱分析时的三种现象 1、混叠：对连续信号采样，要求连续信号是带限的，采样频率要足够高。Fs应满足Nyquist采样定理才不产生混叠。 采样前加低通滤波器防混叠 2、频谱泄漏：DFT对时域信号进行了截断（相当于采样信号乘了一个窗函数），时域的乘积相当于频域卷积，改变了原信号频谱。 改用其他窗函数（非矩形）改善泄漏。 3、栅栏现象：DFT 只给出了频谱在采样点上的取值，采样点间的频谱内容丢失。(DFT spectrum analysis of a three phenomena, aliasing : continuous signal sampling, requiring continuous signal is band-limited, the sampling frequency should be high enough. Fs meet the Nyquist Sampling Theorem would not have aliasing. Sampling former low-pass filter plus anti-aliasing 2, spectrum leakage : DFT right time domain signal a disconnect (equivalent to a sampling signal by a window function). time domain is equivalent to the product of frequency-domain convolution, changes in the spectrum of the original signal. Window functions to switch to other (non-rectangular) to improve leakage. 3, fenced phenomenon : DFT spectrum is given only at the sampling point value, sampling points of the spectrum as lost.)

This cod is a RaoB unscented kalman filter in 5 state.

《MATLAB R2008图形与动画编程实例教程》的源代码--第四章(" MATLAB R2008 examples of graphics and animation programming tutorial" source code- Chapter IV)

自适应滤波仿真程序源代码,加澡声,绝对有效(Adaptive filter simulation program source code, plus shower sound, to be effective)

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)

自适应阈值滤波程序，用matlab实现.zishiyinglvzhilvbo(Wiener filtering procedures winer filter to achieve)

matlab模拟把RF信号和LO信号输入到mixer里得到IF信号。(simulate for put the LO signal and the RF signal into the mixer to get the IF signal.)