DPCM_Testing

SMF-28折射率、群速度、材料色散、波导色散、总色散、包括SMF的基本底层参数。(SMF-28 refractive etc)

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.

content based image retri (CBIR).

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)

matlab program for FDTD 3D

matlab从入门到精通,让你更加快速掌握matlab(matlab from entry to the master)

THIS SIMULATION INCLUDES GRID CONNECTED MATLAB SIMULATION.

本程序能实现小波模极大值算法去除脉冲噪声，效果明显。(This procedure enables on wavelet modulus maxima algorithm to remove impulse noise, the effect clearly.)

文章在传统的分散压缩感知理论的基础上提出了一种新的联合压缩感知新算法，利用所要恢复的信号之间的相关性进一步减少所需要的采样点。(Scattered articles in the traditional theory of compressed sensing based on the proposed joint compression, a new perception of the new algorithm, using the signals to restore the correlation between the need to further reduce the sampling points.)

回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS(Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of the existing performance analysis, and evaluation and comparison of the advantages and disadvantages. For the convergence between computing speed and a good compromise on the NLMS algorithm improvements have been PNLMS)