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A new approach to introducing a forgetting factor into the normalized least mean squares algorithm

SIGNAL PROCESSING 2015年 114卷 19-23页

作者： Nishiyama, Kiyoshi Iwate Univ Fac Engn Dept Elect Engn & Comp Sci Morioka Iwate 020 Japan

The performances of adaptive filtering algorithms are critically controlled by specific tunable parameters. The convergence rate of the normalized least mean squares (NLMS) algorithm may be accelerated by adjusting the step size parameter. The tracking speed of the recursive least squares (rls) algorithm may be improved by using the forgetting factor, which has not yet been appropriately introduced into the NLMS algorithm. This work aims to successfully introduce the forgetting factor into the NLMS algorithm using an tic, theoretical framework developed to create a unified view of adaptive algorithms for recursively identifying the finite impulse response (FIR) filter coefficients. The performances of the forgetting factor NLMS (FFNLMS) algorithm developed here, in the context of several adaptive filtering applications, are evaluated using computer simulations. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Adaptive filter Forgetting factor NLMS algorithm rls algorithm H-infinity filter System identification

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Micro-position Control of a Piezostack Actuator Using Rate-Dependent Hysteretic Compensator

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INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING 2011年第5期12卷 885-891页

作者： Phuong-Bac Nguyen Choi, Seung-Bok Inha Univ Dept Mech Engn Smart Struct & Syst Lab Inchon 402751 South Korea

This paper presents a new model for hysteresis compensation of a piezostack in order to improve position control accuracy. After establishing the hysteretic relationship between output displacement of the piezostack actuator and input voltage by adopting Preisach model, a rate-dependent hysteretic compensator proposed in this work is formulated. The proposed compensator consists of two components: a rate-independent hysteresis cascaded with a dynamic component. From the first component, a compensator is designed based on the inverse Preisach model. And then, the dynamic component is eliminated using a nonlinear lag controller. In order to tune this controller, a root least square (rls) inverse identification method is used. In order to demonstrate the effectiveness of the proposed hysteretic compensator, micro-position control performances are experimentally evaluated in time domain. Control performances are evaluated upon three different input voltage conditions: constant frequency, chirp and random waveforms. In addition, a comparative work between the proposed compensator and conventional rate-independent compensator is undertaken.

关键词： Hysteresis Piezostack Actuator Preisach Model Micro-position Control Adaptive Identification rls algorithm

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Methods for formant extraction in speech of patients after total laryngectomy

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BIOMEDICAL SIGNAL PROCESSING AND CONTROL 2006年第2期1卷 107-112页

作者： Pietruch, Rafal Michalska, Marta Konopka, Wieslaw Grzanka, Antoni Med Univ Warsaw Dept Prevent Environm Hazards PL-02091 Warsaw Poland Med Univ Lodz Dept Otolaryngol PL-90549 Lodz Poland Warsaw Univ Technol Inst Elect Syst PL-00665 Warsaw Poland

The paper shows the methods and its application for voice analysis suited to the group of subjects after total laryngectomy surgery. Our software was developed to evaluate and enhance laryngectomized patients' rehabilitation process. The power spectral density imaging and formant frequencies extraction methods were adopted. The model of vocal tract was based oil statistical, autoregressive process of speech production. The transversal filter and adaptive algorithm were implemented to estimate the transfer function of resonance cavities. The research is concerned with measurements of vowel articulation parameters, especially F1 and F2 formant frequencies. The significant difference of pathological and normal voice in vowel space separation has been presented. The authors found that formants in pseudowhisper speech arc more pronounced while articulating vowel after consonant than for sustained vowel. (C) 2006 Elsevier Ltd. All rights reserved.

关键词： Speech analysis Autoregressive model rls algorithm Formant extraction Total laryngectomy Pseudowhisper

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A systolic array rls processor

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IEICE TRANSACTIONS ON COMMUNICATIONS 2001年第5期E84B卷 1356-1361页

作者： Asai, T Matsumoto, T NTT Do CoMo Inc Wireless Labs Yokosuka Kanagawa 2398536 Japan

This paper presents the outline of the systolic array recursive least-squares (rls) processor prototyped primarily with the aim of broadband mobile communication applications. To execute the rls algorithm effectively, this processor uses an orthogonal triangularization technique known in matrix algebra as QR decomposition for parallel pipelined processing. The processor board comprises 19 application-specific integrated circuit chips, each with approximately one million gates. Thirty two bit fixed-point signal processing takes place in the processor, with which one cycle of internal cell signal processing requires approximately 500 nsec, and boundary cell signal processing requires approximately 80 nsec. The processor board can estimate up to 10 parameters. It takes approximately 35 mus to estimate 10 parameters using 41 known symbols. To evaluate signal processing performance of the prototyped systolic array processor board, processing time required to estimate a certain number of parameters using the prototyped board was comapred with using a digital signal processing (DSP) board. The DSP board performed a standard form of the rls algorithm. Additionally, we conducted minimum mean-squared error adaptive array in-lab experiments using a complex baseband fading/array response simulator. In terms of parameter estimation accuracy, the processor is found to produce virtually the same results as a conventional software engine using floating-point operations.

关键词： rls algorithm channel estimation QR decomposition parallel pipelined processing ASIC

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rls Estimator State Space Basis for solution of HJB-Riccati Equation in Approximate Dynamic Programming

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IFAC Proceedings Volumes 2014年第1期47卷 1153-1160页

作者： Gustavo A. Andrade João Viana da Fonseca Neto Patrícia Helena Moraes Rego Márcio Eduardo Gonsalves Federal University of Maranhão Technological Research Center I Embedded Systems and Inteligent Control Laboratory Electrical Engineering Department

The rls estimator is designed to perform the approximate solution of HJB-Riccati Equation in Dual Approximate Dynamic Programming. The main focus of the investigation is the linear dependecy of the rls regressors vectors that it is assembled with state space vectors. There is a problem, for certain situations the regresors vectors are not a basis.

关键词： Optimal Control Reinforcement Learning Dynamic Programming rls algorithm State Space Basis

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A fast learning algorithm of neural network with tunable activation function

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Science in China(Series F) 2004年第1期47卷 126-136页

作者： SHENYanjun WANGBingwen DepartmentofControlScienceandEngineering UniversityofScienceandTechnologyWuhan430074China

This paper presents a modified structure of a neural network with tunable activation function and provides a new learning algorithm for the neural network training. Simulation results of XOR problem, Feigenbaum function, and Henon map show that the new algorithm has better performance than BP (back propagation) algorithm in terms of shorter convergence time and higher convergence accuracy. Further modifications of the structure of the neural network with the faster learning algorithm demonstrate simpler structure with even faster convergence speed and better convergence accuracy.

关键词： neural networks rls algorithm TAF neural model learning algorithm.

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A fast converging rls equaliser

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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2001年第2期E84A卷 675-680页

作者： Shimamura, T Saitama Univ Fac Engn Urawa Saitama 3388570 Japan

It is well known that based on the structure of a transversal filter, the rls equaliser provides the fastest convergence in stationary environments. This paper addresses an adaptive transversal equaliser which has the potential to provide more faster convergence than the rls equaliser. A comparison is made with respect to computational complexity required for each update of equaliser coefficients, and computer simulations are demonstrated to show the superiority of the proposed equaliser.

关键词： equaliser transversal filter rls algorithm channel estimator fast convergence

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Adaptive Inverse Control Based on Recusive Least-Squares algorithm

Adaptive Inverse Control Based on Recusive Least-Squares Alg...

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4th International Conference on Computer Science and Education

作者： Lu, Ao Bin, Xi Xiamen Univ Dept Automatizat Xiamen 361005 Fujian Peoples R China

ISBN: (纸本)9781424435197

In recent years, adaptive inverse control is a very vivid field because of its advantages. It is quite different from the traditional control. Adaptive inverse control adopts feedback in parameters tuning of the system, not the signal flow. In this paper, we apply the recursive least-squares (rls) algorithm to the adaptive inverse control to achieve the learning of the inverse model quickly. Besides, we compare it with the least mean-square (LMS) algorithm. The results show that when SNR is high, the convergence rate of rls algorithm is faster than the LMS algorithm.

关键词： adaptive inverse control rls algorithm LMS algorithm minimum phase system

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Recursive Least Squares Adaptive Digital Background Calibration of Analog-to-Digital Converters

Recursive Least Squares Adaptive Digital Background Calibrat...

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IEEE International Conference of Electron Devices and Solid-State Circuits (EDSSC)

作者： Lin, CaiShao Wu, ZhaoHui Li, Bin Wu, HaiJun South China Univ Technol Sch Elect & Informat Engn Guangzhou 510640 Guangdong Peoples R China Guangzhou Runxin Informat & Technol CO Ltd Guangzhou 510663 Guangdong Peoples R China

ISBN: (纸本)9781467325233

This paper proposes an adaptive digital background error-correction technique to calibrate analog-to-digital converters (ADCs). The new approach combines an adaptive recursive-least-squares (rls) algorithm-based FIR filter and an accurate reference ADC. Matlab simulation indicates that the proposed rls filter is sufficient to remove the effect of large differential and integral nonlinearities resulting from component errors including capacitor mismatch, finite op-amp gain, op-amp offset and sampling-switch-induced offset. With a 100MHz sinusoidal input, the ENOB can be increased from 8.56bit to 15.55bit, the peak SNR can be increased from 53.29dB to 59.35dB and the SFDR can be increased from 56.52dB to 119.26dB.

关键词： rls algorithm analog-digital conversion (ADC) digital background calibration

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Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data 45

Medium and Long-Term Parametric Temperature Forecasting usin...

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45th Annual Conference of the IEEE Industrial Electronics Society (IECON)

作者： Massaoudi, Mohamed Chihi, Ines Sidhom, Lilia Trabelsi, Mohamed Oueslati, Fakhreddine S. Univ Carthage Unite Rech Phys Semicond & Capteurs Tunis Tunisia Natl Engn Sch Tunisia Lab Res Automat LARA Tunis Tunisia Kuwait Coll Sci & Technol Dept Elect & Commun Engn Kuwait Kuwait Texas A&M Univ Qatar Dept Elect & Comp Engn Doha Qatar

ISBN: (纸本)9781728148786

Temperature forecasting based on meteorological data is the key stage for an accurate estimation of PV power production and demand-side management leading to better grid stability. Typically, weather forecasting is the prediction of weather parameters for seconds until months ahead based on the historical weather database. Thus, researchers create several approaches to maximize the accuracy of these predictions and increase the period of estimation. This paper proposes a new medium and long-term temperature forecasting approach based on Multi Inputs Single Output (MISO) model base on empirical equations. The parameters of the proposed model are computed using a Recursive Least Squares (rls) method. Using a set of real meteorological data, simulation results are presented to show the high accuracy of the proposed temperature forecasting approach.

关键词： Temperature forecasting MISO model solar energy medium-term prediction long-term prediction rls algorithm

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