检索结果-内蒙古大学图书馆

Correntropy-Based Data Selective Adaptive Filtering

IEEE Transactions on Circuits and Systems I: Regular Papers 2024年第2期71卷 754-766页

作者： Chien, Ying-Ren Wu, Sheng-Teng Tsao, Hen-Wai Diniz, Paulo S.R. Adaptive and Autonomous Communication Laboratory Department of Electrical Engineering National Ilan University Yilan City260007 Taiwan College of Electrical Engineering and Computer Science Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Program of Electrical Engineering Department of Electronics and Computer Engineering COPPE/Poli Universidade Federal do Rio de Janeiro Rio de Janeiro68504 Brazil

Data selection can be used in conjunction with adaptive filtering algorithms to avoid unnecessary weight updating and thereby reduce computational overhead. This paper presents a novel correntropy-based data selection method as an alternative to conventional data selection mechanisms based on squared error values. We developed a variable correntropy sensing algorithm to maximize the instantaneous correntropy function for the Gaussian kernel function to mitigate the impact of impulse noise and other forms of noise that can be disregarded in data selection. The proposed data selection mechanism can be implemented with any adaptive filtering algorithm. In simulations, the proposed method (implemented with the least mean squared algorithm) outperformed comparable error-based data selection schemes in terms of hit rate and miss rate, and the resulting weight updating ratio was close to the expected weight updating ratio. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Adaptive filters

来源：评论

学校读者我要写书评

暂无评论

Plenary Speech Ⅰ: Data-Selection in Machine Learning Algorithms

Plenary Speech Ⅰ: Data-Selection in Machine Learning Algori...

引用

作者： Paulo S.R.Diniz COPPE/Poli Federal University of Rio de Janeiro Program of Electrical Engineering and Department of Electrical and Computer Engineering

The current trend of acquiring data pervasively calls for some data-selection strategy, particularly in the case a subset of the data does not bring enough innovation. As a byproduct, in addition to reducing power consumption and some computation, the discarding of data results in more accurate parameter estimation. In many practical situations, it is possible to verify if the acquired set of data qualifies to improve the related statistical inference or if it consists of an outlier or a noninnovative entry. In this presentation, we discuss some adaptive filtering and machine learning algorithms enabling data selection which also address the censorship of outliers measured through unexpected high estimation errors. The resulting algorithms allow the prescription of how often the acquired data is expected to be incorporated in the learning process based on some a priori assumptions regarding the environment data or some simple estimation based on the available data. Test results show the effectiveness of the proposed algorithms for selecting the innovative data without sacrificing the estimation accuracy, while reducing the computational cost. In neural networks applications the strategy leads to reduced training errors and improved test results.

关键词： Data-Selection in Machine Learning Algorithms Plenary Speech

来源：评论

学校读者我要写书评

暂无评论

A Unitary ESPRIT algorithm for carrier frequency offset estimation

A Unitary ESPRIT algorithm for carrier frequency offset esti...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Tadeu N. Ferreira Sergio L. Netto Paulo S. R. Diniz Electrical Engineering Program/COPPE/Poli Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil Telecommunications Department Federal University of Fluminense Niteroi Rio de Janeiro Brazil

This article presents a low-complexity parametric algorithm for the estimation of the carrier frequency offset (CFO) in orthogonal frequency division multiplexing systems. The proposed algorithm is equivalent to the Unitary ESPRIT algorithm, originally devised for estimating the direction-of-arrival of a wave front, now applied to the CFO scenario. It is verified that the proposed algorithm reduces the overall computational complexity in around 40%, while sustaining the error-rate performance achieved by the standard ESPRIT algorithm.

关键词： Estimation OFDM Signal processing algorithms Discrete Fourier transforms Computational complexity Direction of arrival estimation

来源：评论

学校读者我要写书评

暂无评论

Low complexity blind estimation of the carrier frequency offset in multicarrier systems

Low complexity blind estimation of the carrier frequency off...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Tadeu N. Ferreira Sergio L. Netto Paulo S. R. Diniz Leonardo G. Baltar Josef A. Nossek Electrical Engineering Program/COPPE/DEL-Poli Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil Institute for Circuit Theory and Signal Processing Technische Universität München Munich Germany

In orthogonal frequency division multiplexing (OFDM), carrier frequency offset (CFO) must be mitigated since it generates interference between received symbols transmitted through different sub-carriers. This paper presents a new algorithm for CFO estimation with reduced computational complexity. The new approach is based on the segmentation of the input-signal autocorrelation matrix into the noise and signal subspaces, the latter being employed to estimate the desired CFO. Simulations validate the effectiveness of the new algorithm in comparison to the traditional parametric estimation technique ESPRIT.

关键词： Frequency estimation Signal processing algorithms Intersymbol interference Computational complexity OFDM modulation Computational modeling Parameter estimation Communication systems Degradation Discrete Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Low complexity covariance-based DoA estimation algorithm

Low complexity covariance-based DoA estimation algorithm

引用

15th European Signal Processing Conference, EUSIPCO 2007

作者： Ferreira, Tadeu N. Netto, Sergio L. Diniz, Paulo S.R. Electrical Engineering Program COPPE/DEL-Poli Federal University of Rio de Janeiro P.O. Box 68504 Rio de Janeiro RJ 21941-972 Brazil

ISBN: (纸本)9788392134022

The aim of this work is to present an alternative method for estimating the direction-of-arrival (DoA), that is, the incoming angle, of a signal impinging on an antenna array. The proposed method is similar to ESPRIT (estimation of signal parameters via rotational invariance techniques) algorithm, which is the most widely used technique for this application. The new algorithm exploits the structural similarities between ESPRIT and the Tong-Xu-Kailath method for blind channel equalization. The result is an ESPRIT-like algorithm for DoA estimation with substantially reduced computational complexity. Simulation results are included to verify the properties and performance of the new covariance-based DoA algorithm, in comparison to ESPRIT and to the theoretical Cramer-Rao lower bound. © 2007 EURASIP.

关键词： Direction of arrival

来源：评论

学校读者我要写书评

暂无评论

Low complexity covariance-based DOA estimation algorithm

Low complexity covariance-based DOA estimation algorithm

引用

European Signal Processing Conference (EUSIPCO)

作者： Tadeu N. Ferreira Sergio L. Netto Paulo S. R. Diniz Electrical Engineering Program COPPE/DEL-Poli/Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil

关键词： Signal processing algorithms Direction-of-arrival estimation Estimation Covariance matrices Arrays Antenna arrays

来源：评论

学校读者我要写书评

暂无评论

Robust group delay equalization of discrete-time filters using neural networks

Robust group delay equalization of discrete-time filters usi...

引用

14th European Signal Processing Conference, EUSIPCO 2006

作者： Quélhas, M.F. Petraglia, A. Petraglia, M.R. Program of Electrical Engineering COPPE POLI - Federal University of Rio de Janeiro CP 68504 CEP 21945-970 Rio de Janeiro RJ Brazil

A novel methodology for first allocating the poles and zeros of a group delay equalizer is introduced. In this paper, feed-forward neural networks are used, instead of empirical formulae. The results obtained with the networks can be applied as the initial solution of an optimization procedure that searches for the optimum group delay equalizer. Different inputs are considered a priori for the neural networks, but after pre-processing the acquired data, some of them are discarded. By evaluating cross-correlation between the inputs and the outputs, the simplified networks are designed through an optimization procedure with mean square error back-propagation, by batch method. Armijo search method is applied in this procedure for improving convergence rate. Simulation results proving the efficiency of the proposed method are presented. Quasi-equiripple group delay responses are obtained with the neural network initial estimate, avoiding local minima and improving the convergence rate of the optimization step of the equalizer designs.

关键词： Group delay

来源：评论

学校读者我要写书评

暂无评论

Zero-forcing equalization for time-varying systems with memory

Zero-forcing equalization for time-varying systems with memo...

引用

2004 IEEE International Symposium on Circuits and Systems - Proceedings

作者： Ribeiro, Cássio B. De Campos, Marcello L.R. Diniz, Paulo S.R. Electrical Engineering Program Dept. of Electronics Engineering COPPE/Poli/Fed. Univ. Rio de Janeiro P.O. Box 68504 21945-970 Rio de Janeiro RJ Brazil

In this article we derive conditions for existence of zero-forcing multiuser detectors which achieve perfect reconstruction of the transmitted symbols. Compared to similar works in the literature, the derived conditions allow a reduction in the length of the equalizer filters, while imposing no constraints on the channel order and on the order of the precoder filters. Since the analysis is carried out in time domain, time-varying filters are also considered.

关键词： Time varying control systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：