检索结果-内蒙古大学图书馆

least-squares algorithms for Complex-Valued Blind Source Separation

CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2024年第4期43卷 2608-2625页

作者： E, Jianwei Lu, Zeyi Guangxi Minzu Univ Coll Math & Phys Ctr Appl Math Guangxi Nanning 530006 Peoples R China

Blind source separation (BSS), as a digital signal processing approach, focuses on estimating the underlying source signals from their linear mixtures without any prior information about the source signals and mixing matrix. Conventional methods for the BSS, however, are incapable of separating the complex-valued source signals. By leveraging the negative conjugate gradient to minimize the least mean square error reconstruction (LMSER) principle in complex domain, this paper proposes a collection of least-squares algorithms for complex-valued BSS (CBSS), including least-mean square (LMS)-type algorithms and recursive least-squares (RLS)-type algorithms. We demonstrate the availability of the proposed algorithms in both circular and non-circular source signals separation. Especially, the RLS algorithm for the CBSS without prewhitening is superior in cross-talking criterion to the others, as verified by computer simulations on artificial source signals.

关键词： Complex-valued blind source separation Conjugate gradient least-mean squares algorithm recursive least-squares algorithm

来源：评论

学校读者我要写书评

暂无评论

A Modified RLS algorithm for ICA with Weighted Orthogonal Constraint

引用

CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2020年第6期39卷 3046-3060页

作者： Jianwei, E. Ye, Jimin Xidian Univ Sch Math & Stat Xian 710071 Shaanxi Peoples R China

Independent component analysis (ICA), as an important data processing technique, is widely employed in many areas. The objective of the ICA is to recover independent components from observed signals. Several algorithms, such as equivariant adaptive separation via independence algorithm, least-mean-square (LMS)-type algorithms and recursive least-squares (RLS)-type learning rules, are proposed to solve the ICA problem. In the present paper, a modified RLS algorithm for ICA with weighted orthogonal constraint is developed to implement source separation based on the local convergence analysis of the available algorithm. Comparative experiment results demonstrate that the proposed algorithm is better than existing learning rules in the aspect of the accuracy of separation and stability.

关键词： Independent component analysis least-mean-square algorithm recursive least-squares algorithm Weighted orthogonal constraint

来源：评论

学校读者我要写书评

暂无评论

Noise removal from duplicate paleoceanographic time-series: The use of adaptive filtering techniques

引用

MATHEMATICAL GEOLOGY 1998年第5期30卷 557-574页

作者： Trauth, MH Univ Kiel Inst Geol Palaontol D-24098 Kiel Germany

This study demonstrates that adaptive filters can be used successfully to remove noise from duplicate paleoceanographic time-series. Conventional methods for noise canceling such as fixed filters cannot be applied to paleoceanographic time-series if optimal filtering is to be achieved, because the signal-to-noise ratio is unknown and varies with time. In contrast, an adaptive filter automatically extracts information without any prior initialization of the filter parameters. Two basic adaptive filtering methods, the gradient-based stochastic least-mean-squares (LMS) algorithm and the recursive least-squares (RLS) algorithm have been modified for paleoceanographic applications. The RLS algorithm can he used for noise removal from duplicate records corrupted by stationary noise, for example, carbonate measurements, species counts, or density data. The RLS filter performance is characterized by high accuracy and fast rate of convergence. The modified LMS algorithm out-performs the RLS procedure in a nonstationary environment (e.g., stable isotope records) but at the price of a slower rate of convergence and a reduced accuracy in the final estimate. The application of both algorithms is demonstrated by means of carbonate and stable isotope data.

关键词： least-mean-squares algorithm recursive least-squares algorithm signal-to-noise ratio inverse modeling

来源：评论

学校读者我要写书评

暂无评论

A study of an inverse method for the estimation of impulsive heat flux

引用

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 2000年第6期337卷 661-671页

作者： Lee, WS Ko, YH Ji, CC Chung Cheng Inst Technol Dept Appl Chem Taoyuan 33509 Taiwan

The adaptive input estimation approach which is based on the Kalman filter technique combined with a variable forgetting factor as a weighting function in recursive least-squares algorithm is adopted to investigate the estimation of impulsive heat flux of inverse heat conduction problem from experimental data. Four specific charge designs for igniters with impulsive heat flux input are solved to illustrate the effectiveness and good accuracy of the presented method. (C) 2000 The Franklin Institute. Published by Elsevier Science Ltd. All rights reserved.

关键词： Kalman filter heat aux recursive least-squares algorithm inverse heat conduction

来源：评论

学校读者我要写书评

暂无评论

Model Reference Adaptive Control Design for the Buck-Boost Converter

Model Reference Adaptive Control Design for the Buck-Boost C...

引用

38th Annual Conference on IEEE-Industrial-Electronics-Society (IECON )

作者： Li, Yen-Fang Tsai, Ming-Fa Tseng, Chung-Shi Chiang, Yi-Fan Ming Hsin Univ Sci & Technol Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781467324212

In this study, a model reference adaptive digital control scheme is proposed for the buck-boost converter, The control design of the buck-boost converter is a challenging work because the buck-boost converter, which is a non-minimum phase (NMP) system, has a right half-plane zero, This controller design is based on the small signal model of the buck-boost converter and a reference model. A cost function of the output error and weighting control input is minimized for the buck-boost converter using the model reference adaptive control scheme, In the case that the plant parameters are uncertain (or unknown), a digital controller with model reference adaptive control scheme is proposed for the buck-boost converter using the recursive least-squares (RLS) algorithm to estimate the uncertain parameters. To verify the validity of the proposed controller, experimental set-up is built for the buck-boost converter and the fully digital adaptive controller is implemented by a digital signal processor TMS320-F2833S. From the experimental results, sound performances on voltage regulation can be achieved for the buck-boost converter with uncertain parameters using the proposed controller.

关键词： adaptive digital control buck-boost converter recursive least-squares algorithm non-minimum phase system Diophantine equation

来源：评论

学校读者我要写书评

暂无评论

An Improved Harmonic Current Detection Method Based on Variable Forgetting Factor RLS algorithm

An Improved Harmonic Current Detection Method Based on Varia...

引用

International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Vu, Minh Guang Han, Wei Wang, Dazhi Li, Yunlu Northeastern Univ Inst Elect Power Syst & Motor Drives Shenyang Peoples R China

ISBN: (纸本)9783037856345

The effects of compensating and restraining the power system harmonics using active power filter are determined by the detection precision and its dynamic response characters. To improve both of them, a harmonic current detection algorithm based on variable forgetting factor recursive least-squares algorithm is presented. The occurrence of the dynamic process is identified firstly by the judgment condition which is given by the algorithm, and then the forgetting factor is assigned dynamically, so that the convergent speed is significantly improved. The algorithm overcomes the impact of low-pass filter of traditional p-q or ip-iq algorithm, and releases the contradiction cased by the conflicting requirements of forgetting factor value between steady process and dynamic process. So it has better dynamic performance. Simulation and experiments prove the validity and feasibility of the approaches

关键词： recursive least-squares algorithm harmonic current detection variable forgetting factor active power filter

来源：评论

学校读者我要写书评

暂无评论

Robust least-squares Estimation with Harmonic Regressor: High Order algorithms

Robust Least-Squares Estimation with Harmonic Regressor: Hig...

引用

52nd IEEE Annual Conference on Decision and Control (CDC)

作者： Stotsky, Alexander Chalmers Univ Technol Signals & Syst SE-41296 Gothenburg Sweden

ISBN: (纸本)9781467357173

A new robust and computationally efficient solution to least-squares problem in the presence of round-off errors is proposed. The properties of a harmonic regressor are utilized for design of new combined algorithms of direct calculation of the parameter vector. In addition, an explicit transient bound for estimation error is derived for classical recursive least-squares (RLS) algorithm using Lyapunov function method. Different initialization techniques of the gain matrix are proposed as an extension of RLS algorithm. All the results are illustrated by simulations.

关键词： recursive least-squares algorithm Harmonic Regressor Strictly Diagonally Dominant Matrix High Order algorithms recursive Inversion

来源：评论

学校读者我要写书评

暂无评论

Low-Complexity RLS algorithms for the Identification of Bilinear Forms 26

Low-Complexity RLS Algorithms for the Identification of Bili...

引用

European Signal Processing Conference (EUSIPCO)

作者： Elisei-Iliescu, Camelia Stanciu, Cristian Paleologu, Constantin Anghel, Cristian Ciochina, Silviu Benesty, Jacob Univ Politehn Bucuresti Bucharest Romania Univ Quebec INRS EMT Montreal PQ Canada

ISBN: (纸本)9789082797015

The identification of bilinear forms is a challenging problem since its parameter space may be very large and the adaptive filters should be able to cope with this aspect. Recently, the recursive least-squares tailored for bilinear forms (namely RLS-BF) was developed in this context. In order to reduce its computational complexity, two versions based on the dichotomous coordinate descent (DCD) method are proposed in this paper. Simulation results indicate the good performance of these algorithms, with appealing features for practical implementations.

关键词： Adaptive filter recursive least-squares algorithm dichotomous coordinate descent bilinear forms system identification multiple-input/single-output system

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Kernel Adaptive Filters Based on RLS algorithm

Performance Analysis of Kernel Adaptive Filters Based on RLS...

引用

25th International Conference on Microelectronics (ICM)

作者： Constantin, Ibtissam Lengelle, Regis Lebanese Univ Fac Sci Fanar Lebanon Univ Technol Troyes ISTIT Troyes France

ISBN: (纸本)9781479935703

The design of adaptive nonlinear filters has sparked a great interest in the machine learning community. The present paper aims to present some recent developments in nonlinear adaptive filtering. We present an in-depth analysis of the performance and complexity of a class of kernel filters based on the recursive least-squares algorithm. A key feature that underlies kernel algorithms is that they map the data in a high-dimensional feature space where linear filtering is performed. The arithmetic operations are carried out in the initial space via evaluation of inner products between pairs of input patterns called kernels. We evaluated the SNR improvement and the convergence speed of kernel-based recursive least-squares filters on two types of applications: time series prediction and cardiac artifacts extraction from magnetoencephalographic data.

关键词： Adaptive nonlinear filters kernel filters recursive least-squares algorithm Cardiac artifacts extraction

来源：评论

学校读者我要写书评

暂无评论

recursive least Square Estimation Approach to Real-Time Parameter Identification in Li-ion Batteries

Recursive Least Square Estimation Approach to Real-Time Para...

引用

IEEE Electrical Power and Energy Conference (EPEC)

作者： Raihan, Sheikh Arif Balasingam, Balakumar Univ Windsor Dept Elect & Comp Engn Windsor ON Canada

ISBN: (纸本)9781728134062

In this paper, we consider the problem of equivalent circuit model (ECM) parameter identification in Li-ion batteries. Accurate estimation of the ECM parameters is critical for the safety, efficiency and reliability of the battery system. Existing approaches to solve this problem depend on information and parameters, such as, battery capacity, state-of-charge (SOC) and open circuit voltage (OCV) characterization parameters. Such reliance on other parameters makes the ECM identification less accurate. In this paper, we present a real-time approach to ECM identification. The proposed approach relies only on the measured voltage across the battery terminal and current through the battery. Also, the proposed approach is unaffected by the amount of hysteresis in the battery. Further, robustness in parameter identification is achieved through the inclusion of the measurement noise covariance matrix. The proposed algorithm was tested on simulated as well as real world battery data and found to be accurate within 1% uncertainty.

关键词： Battery management system battery fuel gauge state of charge battery impedance equivalent circuit model recursive least-squares algorithm

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：