检索结果-内蒙古大学图书馆

Logarithmic quantization in the least mean squares algorithm

DIGITAL signAL PROCESSING 2008年第3期18卷 321-333页

作者： Aldajani, Mansour A. King Fahd Univ Petr & Minerals Dept Syst Engn Dhahran 31261 Saudi Arabia

In this paper, we introduce a framework for adaptive filtering techniques with simplified recursion. The simplification is mainly carried out by rounding the full-precision error information of the recursion to their closest power-of-two values. A new method for power-of-two quantization is proposed in this study. The method uses companded delta modulation structure to perform the quantization. The proposed structure shows a performance that is comparable to that of full precision adaptive filters. Convergence analysis of this structure is included and closed-form expressions for the error statistics are derived. Furthermore, an efficient method for implementing the new structure is presented where only simple shift and loop operations are required. (c) 2007 Elsevier Inc. All rights reserved.

关键词： adaptive filtering efficient algorithms least mean squares sign algorithm log-LMS delta modulation convergence analysis implementation power-of-two quantization

来源：评论

学校读者我要写书评

暂无评论

Diffusion signed LMS algorithms and Their Performance Analyses for Cyclostationary White Gaussian Inputs

引用

IEEE ACCESS 2017年 5卷 18876-18894页

作者： Wang, Wenyuan Zhao, Haiquan Minist Educ Key Lab Magnet Suspens Technol & Maglev Vehicle Chengdu 610031 Sichuan Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 610031 Sichuan Peoples R China Southwest Jiaotong Univ Sch Elect Engn Signal & Informat Proc Chengdu 610031 Sichuan Peoples R China

As one of the signed variants of the diffusion least mean square (DLMS) algorithm over networks, the diffusion sign error algorithm has been presented in previous reference. In this paper, we propose two novel signed variants of the DLMS algorithm, i.e., the diffusion signed regressor algorithm and the diffusion sign-sign algorithm. Moreover, this paper analyzes the performance of these three signed variants of the DLMS algorithm for cyclostationary white Gaussian inputs which have periodically time-varying variances. It is assumed that the distributed algorithms are in non-stationary environments. Specifically, the unknown parameter to be identified is time-varying according to the standard random walk model. The analysis models in terms of mean weight behavior and mean square performance are provided, in which, we can find some interesting results. Finally, simulations are carried out to verify the correctness of the proposed analysis model.

关键词： Distributed network adaptive filter sign algorithm stochastic model and cyclostationary signals

来源：评论

学校读者我要写书评

暂无评论

Derivation and applications of difference equations for adaptive filters based on a general tap error distribution

引用

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 1996年第12期E79A卷 2166-2175页

作者： Koike, S NEC Corporation Tokyo 108-01 Japan

In this paper stochastic gradient adaptive filters using the sign or sign-sign algorithm are analyzed based upon general assumptions on the reference signal, additive noise and particularly jointly distributed tap errors. A set of difference equations for calculating the convergence process of the mean and covariance of the tap errors is derived with integrals involving characteristic function and its derivative of the tap error distribution. Examples of echo canceller convergence with jointly Gaussian distributed tap errors show an excellent agreement between the empirical results and the theory.

关键词： adaptive filters difference equations sign algorithm sign-sign algorithm tap errors convergence characteristic function

来源：评论

学校读者我要写书评

暂无评论

AN EFFICIENT LATTICE PREDICTOR algorithm FOR INSTANTANEOUS FREQUENCY ESTIMATION

引用

signAL PROCESSING 1986年第1期10卷 75-81页

作者： YOUN, DH MATHEWS, VJ CHO, SH Department of Electrical and Computer Engineering The University of Iowa Iowa City IA 52242 U.S.A.

An efficient method for spectral analysis of non-stationary signals is proposed. The signals are modelled as time-varying autoregressive (AR) processes and the relevant AR parameters are obtained from the adaptive lattice predictor coefficients minimizing the forward/backward prediction errors. In this paper it is proposed to use the sign algorithm, which computes the pertinent coefficients using only the signs of the forward/backward prediction errors at each stage. This method requires less number of multiplications than other adaptive lattice predictor algorithms. The performance of this method is compared with that of the adaptive lattice predictor using the least mean square algorithm for the problems of estimating instantaneous frequencies of FM signals via computer simulations. Zusammenfassung Vorgeschlagen wird eine leistungsfa¨hige Methode zur Spektral-Analyse nicht-stationa¨rer signale. Die signale werden als zeit-variable autoregressive (AR) Prozesse betrachtet, wobei die beno¨tigten AR Parameter aus denjenigen Koeffizienten eines adaptiven gitter-Pra¨diktors gewonnen werden, welche die Vorwa¨rts/Ru¨ckwart-Fehler minimalisieren. In disem Beitrag wird vorgeschlagen, den Vorzeichen-algorithmus zu benutzen, welcher die Koeffizienten einzig aus den Vorzeichen der aus jeder Stufe resultierenden Vorwa¨rts/Ru¨ckwa¨rts-Fehler berechnet. Diese Methode beno¨tigt weniger Multiplikationen als andere adaptive gitter-Pra¨diktions-algorithmen. Die Leistungsfa¨higkeit dieser Methode wird mit derjenigen des auf dem kleinsten Fehlerquadrat-algorithmus basierenden adaptiven gitter-Pra¨diktor verglichen, und zwar in der Anwendung auf Probleme, welche sich in der Scha¨tzung der momentanen Frequenzen eines FM-signals via Computer-Simulation ergeben.

关键词： Lattice predictor sign algorithm SA-LAT LMS-LAT MEM spectrum estimation autoregressive parameters instantaneous frequency

来源：评论

学校读者我要写书评

暂无评论

Recursive least absolute error algorithm: Analysis and simulations

引用

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2002年第12期E85A卷 2886-2893页

作者： Koike, S NEC Corp Ltd Tokyo 1088001 Japan

"Recursive least absolute" (RLA) error algorithm is derived which is basically the sign algorithm (SA) combined with recursive estimation of the inverse covariance matrix of the reference input. The name RLA comes from the absolute error criterion. Analysis of the transient behavior and steady-state performance of the RLA algorithm is fully developed. Results of experiment show that the RLA algorithm considerably improves the convergence rate of the SA while preserving the robustness against impulse noise. Good agreement between the simulation and the theoretically calculated convergence validates the analysis.

关键词： RLS algorithm sign algorithm transient analysis steady-state performance impulse noise

来源：评论

学校读者我要写书评

暂无评论

A 2D-LUT Scheme Design for Complex-Valued Spline Adaptive Filter

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2023年第8期70卷 3154-3158页

作者： Liu, Chang Zhao, Haiquan Dongguan Univ Technol Sch Elect Engn Dongguan 523808 Peoples R China Southwest Jiaotong Univ Sch Elect Engn Chengdu 610031 Peoples R China

This brief presents a two dimensional Look-Up-Table (2D-LUT) scheme for complex-valued (CV) spline adaptive filter. The key idea of this structure is to model a complex-valued nonlinear static function by implementing the Carstesian product of two univariate cubic uniform B-spline curves. Therefore, the real and imaginary components of the system complex-valued output can be readily achieved hinging on two different sets of spline control point respectively, each of which is stored in a 2D-LUT separately. In addition, as an extension of the real-valued (RV) sign spline adaptive algorithm, the CV counterpart is also derived to update both the weight coefficients of the linear subsystem and spline control points associated with 2D-LUTs. Simulations on the identification of RF nonlinear power amplifier (PA) show that the proposed scheme outperforms the existing methods in terms of estimation accuracy against impulsive noises, as well as lower computational complexity.

关键词： Index Terms-Complex-valued spline adaptive filter 2D-LUT cubic uniform B-spline function sign algorithm

来源：评论

学校读者我要写书评

暂无评论

Adaptive combination of normalised filters for robust system identification

引用

ELECTRONICS LETTERS 2005年第15期41卷 874-875页

作者： Arenas-García, J Figueiras-Vidal, AR Univ Carlos III Madrid Dept Signal Theory & Commun Leganes Spain

The performance of square norm adaptive filters degrades in the presence of impulsive noise. The sign algorithm overcomes this problem, at the cost of a slower convergence. Presented is an adaptive combination of two independent filters, using the absolute and quadratic error criteria, respectively, so that the resulting scheme achieves a fast convergence and remains robust to impulsive noise.

关键词： adaptive filters adaptive signal processing convergence identification impulse noise absolute error criteria convergence impulsive noise independent filters normalised filters quadratic error criteria robust system identification sign algorithm squareno

来源：评论

学校读者我要写书评

暂无评论

MULTIPLICATION-FREE ADAPTIVE DIGITAL-FILTERS

引用

PROCEEDINGS OF THE IEEE 1988年第5期76卷 632-634页

作者： PARK, TH YOUN, DH CHA, IW Dept. of Electron. Eng. Yonsei Univ. Seoul

The authors update delta modulation digital filter weights using the LMS (least-mean-squares) and the sign algorithms to realize an adaptive digital filter without multiplication operations. It is shown that using the sign algorithm results in an adaptive filter that can be implemented using the simple up/down counting operations. Learning curves demonstrating convergence properties of the algorithms for a system identification problem are presented

关键词： LMS algorithm sign algorithm adaptive digital filters adaptive systems convergence convergence properties delta modulation delta modulation digital filters learning curves least-mean-squares multiplication-free structure system identification problem up/down counting operations weights updating

来源：评论

学校读者我要写书评

暂无评论

Linear phase sparse system identification in the presence of impulsive noise

引用

International Journal of Electronics Letters 2019年第3期7卷 321-337页

作者： Yadav, Rajni Rai, C.S. University School of Information Communication and Technology Guru Gobind Singh Indraprastha University Delhi India

In this paper, we incorporate an ℓp-norm sparsity constraint into linear phase constrained affine projection-sign algorithm (LPCAP-SA). The proposed algorithm combines the effect of linear phase constrained affine pro... 详细信息

In this paper, we incorporate an ℓ_p-norm sparsity constraint into linear phase constrained affine projection-sign algorithm (LPCAP-SA). The proposed algorithm combines the effect of linear phase constrained affine projection sign algorithm and ℓ_p-norm sparsity *** proposed algorithm has better performance for linear phase sparse system identification in the presence of vigorous impulsive interference. The proposed ℓ_p-norm LPCAP-SA is based on the ℓ₁-norm minimisation criterion on posterior error and ℓ_p-Norm on weight coefficients and a linear phase constraint. Simulations in Matlab software show that the proposed ℓ_p-norm LPCAP-SA has robustness against impulsive interferences and sparse environment for linear phase system. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： affine projection algorithm impulsive interference Linearly constrained adaptive filter sign algorithm sparsity ℓp-norm

来源：评论

学校读者我要写书评

暂无评论

Low-complexity adaptive lossless compression of hyperspectral imagery

Low-complexity adaptive lossless compression of hyperspectra...

引用

Conference on Satellite Data Compression, Communications, and Archiving II

作者： Klimesh, Matthew CALTECH Jet Prop Lab Pasadena CA 91125 USA

ISBN: (纸本)0819463795

A low-complexity, adaptive predictive technique for lossless compression of hyperspectral imagery is described. This technique is designed to be suitable for implementation in hardware such as a field programmable gate array (FPGA);such an implementation could be used for high-speed compression of hyperspectral imagery onboard a spacecraft. The predictive step of the technique makes use of the sign algorithm, which is a relative of the least mean square (LMS) algorithm from the field of low-complexity adaptive filtering. The compressed data stream consists of prediction residuals encoded using a method similar to that of the JPEG-LS lossless image compression standard. Compression results are presented for several datasets including some raw Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) datasets and raw Atmospheric Infrared Sounder (AIRS) datasets. The compression effectiveness obtained with the technique is competitive with that of the best of previously described techniques with similar complexity.

关键词： multispectral hyperspectral lossless data compression sign algorithm adaptive filtering

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：