Photonic-Band-Gap-Genetic-Algorithm

一个非常好用的国外牛人写的kalman滤波程序，(kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab).The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis.)

说明：  采用Matlab对信号进行四层分解与重构，合成一个文件更有利于理解Matlab功能(use Matlab to finish your signal processing)

关于单载波频域均衡系统，判决反馈均衡的仿真。(On single-carrier frequency domain equalization using decision feedback equalization simulation material, and I hope to help you.)

对M=8的dpsk实现一个差分编码器，M=4的DPSK通信系统的monte carlo仿真(M = 8 for the DPSK implementation of a differential encoder, M = 4 of DPSK communication system monte carlo simulation)

说明：  TFBSS是一种基于短时傅里叶时频分析的盲源分离算法，算法基于卷积混合。处理非平稳源信号。(TFBSS performs Blind Source Separation of (over)determined multiplicative mixtures of non-stationary real valued sources. TFBSS is based on the joint-diagonalization of whitened and noise-compensated Spatial Time-Frequency Distribution (STFD) matrices of the observations, corresponding to single auto-terms positions, as described in: C. Févotte and C. Doncarli. "Two contributions to blind source separation using time-frequency distributions", IEEE Signal Processing Letters, 2004. IEEE Signal Processing Letters, vol. 11, no. 3, Mar. 2004. pdf and A. Holobar, C. Févotte, C. Doncarli, and D. Zazula. "Single autoterms selection for blind source separation in time-frequency plane". In Proc. 11th EUSIPCO, Toulouse, France, 2002 (Special Session on Source Separation). pdf )

矩阵联合对角化的ARD算法。超级经典。超级简单。超级好用。(ARD lization of the matrix algorithm. Super classic. Super simple. Super easy to use.)

Rake receiver in uwb 802.15.3a

说明：  压缩感知Basis Pursuit基追踪算法，稀疏度和正确率的关系以及采样率和正确率的关系(Basis Pursuit based on compressed sensing and tracking relationships between sampling rate and accuracy of the algorithm, and the correct rate of sparsity)

实现Pisarenko谐波分解法、MUSIC、基本ESPRIT、LS-ESPRIT、TLS-ESPRIT五种频率估计算法，并运用之对一个正弦波叠加噪声的信号源进行频率估计。(Use methods of Pisarenko, MUSIC, ESPRIT, LS-ESPRIT and TLS-ESPRIT to do frequency uation of one signal, which is composed of 3 sine waves and 1 white noise.)

ITERATIVE REFINEMENT ALGORITHM To approximate the solution to the linear system Ax=b when A is