xiaobo

MIMO空时信道模型建模源程序的matlab程序(MIMO space-time channel model in matlab source modeling procedures)

wma_mdct_c_code．Ｃ语言的(wma_mdct_c_code. C language)

Digital Image Processing教材配套 matlab源程序，可以同时参看这本教材，相信可以得到更好的学习效果(supporting Matlab source materials, can see this material, I believe it can be a better learning results)

说明：  遗传算法程序及实例 主要用来求解无约束优化问题，欢迎您的光临哦！请多多支持！(Procedures and examples of genetic algorithm for the typical numerical examples.I wish it helpful for you! Welcome to come here!)

This code is about SVD method in seismic.

Prowler simulador, es una gui que permite simular en capa fisica redes inalambricas

说明：  matlab数学手册，比较适合有基础的读者使用，适合数学分析或者数据分析(matlab mathematics manuals, more suitable for readers based on the use of mathematical analysis or data analysis for)

说明：  bandlet图像处理工具箱，以及用其进行图像去噪的程序(bandlet Image Processing Toolbox, and use its procedures for image denoising)

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.

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)