A_Frequency-Domain_Entropy-based_detectors

一个用MATLAB写的关于锐利信道仿真的例子，希望对通信开发的同志们有用(a MATLAB write on the sharp channel simulation examples, and I hope to the development of the communications useful comrades)

matlab 从脉搏信号中计算心率的小程序，很好用！！(matlab calculate the heart rate signal from the pulse of the small program, easy to use! ! )

script to detect the location of a letter in a picture

由zernike多项式通解求各项具体表达式。(Solutions by zernike polynomial through the specific expression.)

对于matlab入门的学习有着很大的帮助，附有很多的例题来帮助初学者理解。(Matlab entry to the study of great help with a lot of examples to help beginners understand.)

[自動控制] Routh-Hankel matrix數值計算工具，輸入System Function後，程式會計算Hankel singular values and vectors、Schmidt pairs等值。詳情請見英文描述。(<<singular values and vectors>> [R_G,Sigma,U,V,Us,Vs]=HANKEL3(G) computes the Routh-Hankel matrix, the Hankel singular values and vectors, the Schmidt pairs of a given proper stable system G (created with either TF, ZPK, SS, or FRD).|| Output "R_G" is the Routh-Hankel matrix. || Output "Sigma" is a matrix whose elements on the diagonal are the Hankel singular values of the given system. || Output "U" is a matrix, the ith column of which is the left singular vector corresponding to the ith singular value. || Output "V" is a matrix, the ith column of which is the right singular vector corresponding to the ith singular value. || Output "Us" and "Vs" provides the Schmidt pairs. The ith elements of Us and Vs form the Schmidt pair corresponding the ith Hankel singular value. )

使用马尔科夫链蒙特卡洛法的一个莫诺模型例子(A Monod model example of the use of Markov chain Monte Carlo method)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

基于元胞自动机(CA)法的晶粒生长模型， 元胞自动机的基本思想 (Based on Cellular Automata (CA) Law grain growth model, cellular automata basic idea)

Multirate Filtering for Digital Signal Processing MATLAB Applications