matlab_book

matlab GUI初步教程,介绍一些基本的操作及程序(course book)

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

Matlab遗传算法工具箱(Sheffield大学版) 最优秀的遗传算法工具箱(Matlab genetic algorithm toolbox (university of Sheffield)- the best genetic algorithm toolbox)

simulation of LTE OFDM system

稀疏分量分解。 function [y A]=sparseBSS1(X,L,langda,G,h,delta)(function [y A]=sparseBSS1(X,L,langda,G,h,delta) ---------------------------------------------------------------- 2009-04-15 YangZhicong X: observed signal,each row correspond to a sensor observations L: the length of FFT (or the length of Hanning window) langda: adjust the desired angular width G: discretize the potential field by taking a sample of G points h: threshold y: estimated sourses A: estimated mix matrix )

this is a code for wavelet decomposition

实现了灰色理论在关联度识别方法在matlab中的应用(Grey achieved recognition in the correlation of in matlab)

SVM源程序，可以用来进行特征分类或提取 (MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)

可以解包二位波前相位，解包后可以得到物体的表面特征。(be unpacked before the two-phase, unpacks objects can receive upon the surface characteristics.)

小波去噪,利用小波系数在相邻尺度上的相关性关系,针对小波系数估计中硬阈值方法和软阈值方法的缺点, 通过对双重量收缩函数得到的阈值乘以一个合适系数进行修定的折衷方法,提出了一种新的小波域局部自适应去噪算法.实验结果表明,该方法既可以去除噪声,又可以较好地保留图像的高频细节特征.(Wavelet denoising using the wavelet coefficients in adjacent scales of the correlation relationship between the estimation of wavelet coefficients for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive denoising algorithm. The experimental results show that the method can remove noise, also can be used to retain the details of the characteristics of high-frequency images.)