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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1999年第1期47卷 75-87页

作者： Berberidis, K Theodoridis, S Univ Patras Sch Engn Dept Comp Engn & Informat Patras Greece Univ Athens Dept Informat Athens Greece

This paper describes a novel efficient algorithm appropriate for adapting filters of long order. The scheme is an exact block processing counterpart of the recently introduced fast Newton transversal filtering algorithm, The filters required by the algorithm blocks are much smaller than the filter length, and the obtained estimates are mathematically equivalent to those of the sample-by-sample version. This leads to a substantial saving in computational complexity without sacrificing performance as well as not having to resort to long processing delays, which limit the performance of the adaptive system.

关键词： adaptive algorithm Signal processing algorithms Transversal filters Least squares approximation Filtering algorithms Computational complexity Delay adaptive filters IIR filters Resonance light scattering

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Dual-axis schedule tracker with an adaptive algorithm for a strong scattering of sunbeam

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SOLAR ENERGY 2021年 224卷 285-297页

作者： Saymbetov, Ahmet Mekhilef, Saad Kuttybay, Nurzhigit Nurgaliyev, Madiyar Tukymbekov, Didar Meiirkhanov, Aibolat Dosymbetova, Gulbakhar Svanbayev, Yeldos Al Farabi Kazakh Natl Univ Fac Phys & Technol 71 Al Farabi Ave Alma Ata Kazakhstan Univ Malaya Dept Elect Engn Power Elect & Renewable Energy Res Lab Kuala Lumpur 50603 Malaysia Swinburne Univ Technol Sch Software & Elect Engn Melbourne Vic 3122 Australia King Abdulaziz Univ Ctr Res Excellence Renewable Energy & Power Syst Jeddah 21589 Saudi Arabia

The efficiency of photovoltaic panels is one of the main challenges of solar energy today. The sharp decline in solar cell performance in cloudy weather is the most significantlimiting factor for the transition to a green economy. As a result, today's priority task is the development of various algorithms to improve the performance of solar cells in cloudy weather. This paper compares the performance of dual-axis schedule tracker and dual-axis schedule tracker with an adaptive algorithm for a strong scattering of the sun's rays by clouds. A comparative analysis of the manufactured trackersoperation in adverse weather conditions was performedand with the use of small solar panels, an effective method was proposed for determining the minimum flow of solar energy entering the surface of photovoltaic installations with strong cloud scattering. The developed dual-axis method of tracking the sun is 41% more efficient than the dual-axis schedule tracker. The energy produced by trackers with highpower panels for three months in the previous threeyears was also estimated using availablemeteorological data in Almaty, Kazakhstan. The results obtained can be used to design solar trackers in areas with a high probability of intensesolar energy scattering on clouds.

关键词： Dual-axis solar tracker Exact orientation to the sun Schedule based solar trackers Efficiency of solar panels adaptive algorithm An electronic control unit

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A modified block FTF adaptive algorithm with applications to underwater target detection

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1996年第9期44卷 2172-2185页

作者： Hasan, MA AzimiSadjadi, MR Department of Electrical Engineering Colorado State University Fort Collins CO USA

In this paper, the problem of weighted block recursive least squares (RLS) adaptive filtering is formulated in the context of block fast transversal filter (FTF) algorithm. This ''modified block FTF algorithm'' is derived by modifying the constrained block-LS cost function to guarantee global optimality, This new soft-constrained algorithm provides an efficient way of transferring weight information between blocks of data. The tracking ability of the algorithm can be controlled by varying the block length and/or a soft constrained parameter, This algorithm is computationally more efficient compared with other LS-based schemes, The effectiveness of this algorithm is tested on a real-life problem dealing with underwater target identification from acoustic backscatter, The process involves the identification of the presence of resonance in the acoustic backscatter from a target of unknown shape submerged in water.

关键词： adaptive algorithm Underwater acoustics Backscatter Least squares methods Resonance light scattering adaptive filters Transversal filters Filtering algorithms Cost function Target tracking

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A parameter-free ε-adaptive algorithm for improving weighted compact nonlinear schemes

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INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS 2019年第5期90卷 247-266页

作者： Zheng, Shichao Deng, Xiaogang Wang, Dongfang Xie, Chunhui Natl Univ Def Technol Coll Aerosp Sci & Engn Changsha 410073 Hunan Peoples R China

In this paper, we propose a parameter-free algorithm to calculate epsilon, a parameter of small quantity initially introduced into the nonlinear weights of weighted essentially nonoscillatory (WENO) scheme to avoid denominator becoming zero. The new algorithm, based on local smoothness indicators of fifth-order weighted compact nonlinear scheme (WCNS), is designed in a manner to adaptively increase epsilon in smooth areas to reduce numerical dissipation and obtain high-order accuracy, and decrease epsilon in discontinuous areas to increase numerical dissipation and suppress spurious numerical oscillations. We discuss the relation between critical points and discontinuities and illustrate that, when large gradient areas caused by high-order critical points are not well resolved with sufficiently small grid spacing, numerical oscillations arise. The new algorithm treats high-order critical points as discontinuities to suppress numerical oscillations. Canonical numerical tests are carried out, and computational results indicate that the new adaptive algorithm can help improve resolution of small scale flow structures, suppress numerical oscillations near discontinuities, and lessen susceptibility to flux functions and interpolation variables for fifth-order WCNS. The new adaptive algorithm can be conveniently generalized to WENO/WCNS with different orders.

关键词： adaptive algorithm critical points numerical oscillations resolution WENO WCNS

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A COMPLEX adaptive algorithm FOR IIR FILTERING

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING 1986年第5期34卷 1342-1344页

作者： SHYNK, JJ Information Systems Laboratory Department of Electrical Engineering University of Stanford Stanford CA USA

This correspondence generalizes the Gauss-Newton algorithm [1] for adaptive IIR filters to include complex coefficients. The resulting algorithm simultaneously updates the real and imaginary parts of the filter coefficients to minimize the average squared estimation error. It has application in frequency-domain adaptive IIR filtering [2] where the signals and filter coefficients are complex.

关键词： adaptive algorithm adaptive filters IIR filters Frequency estimation Filtering Computational modeling Computer simulation Covariance matrix Delay Signal to noise ratio

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A novel kurtosis driven variable step-size adaptive algorithm

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1999年第3期47卷 864-872页

作者： Pazaitis, DI Constantinides, AG IMEC VSDM Louvain Belgium Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn Signal Proc Sect London England

In this correspondence, a new variable step-size LMS filter is introduced. The time-varying step-size sequence is adjusted, utilizing the kurtosis of the estimation error, therefore reducing performance degradation due to the existence of strong noise. The convergence properties of the algorithm are analyzed, and an adaptive kurtosis estimator that takes into account noise statistics and optimally adapts itself is also presented. Simulation results confirm the algorithm's improved performance and flexibility.

关键词： adaptive algorithm Signal processing algorithms adaptive filters Filtering algorithms Transversal filters adaptive signal processing Least squares methods Equations Signal processing Numerical stability

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A higher order statistics-based adaptive algorithm for line enhancement

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1999年第2期47卷 527-532页

作者： Ibrahim, HM Gharieb, RR Hassan, MM Assiut Univ Fac Engn Dept Elect Engn Assiut Egypt

A novel higher order statistics (HOS) based adaptive filtering algorithm for line enhancement is suggested. The enhancement process is achieved by filtering the noisy signal through an adaptive FIR filter. The steady state of the impulse response of this filter is proportional to a selected one-dimensional (I-D) slice of the fourth-order mixed cumulant of the input signal. It will be shown that this slice is comprised of noiseless sinusoids if the input signal is comprised of sinusoids embedded in Gaussian noise. Therefore, the algorithm is considered to be a suitable one in processing sinusoids embedded in highly colored Gaussian noise. Simulation results verify the performance of the proposed algorithm.

关键词： adaptive algorithm Signal processing algorithms Signal processing Finite impulse response filter Gaussian noise adaptive filters Higher order statistics Signal to noise ratio Parameter estimation Speech processing

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Maximum Dorsiflexion Detection Based on an On-Board adaptive algorithm for Transtibial Amputees With Robotic Prostheses

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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2021年第2期18卷 437-447页

作者： Xu, Dongfang Yang, Yong Yang, Ruichen Wang, Qining Peking Univ Coll Engn Dept Adv Mfg & Robot Beijing 100871 Peoples R China Beijing Engn Res Ctr Intelligent Rehabil Engn Beijing 100871 Peoples R China Beijing Jishuitan Hosp Dept Hand Surg Beijing 100035 Peoples R China Peking Univ Beijing Innovat Ctr Engn Sci & Adv Technol BIC ES Beijing 100871 Peoples R China

Maximum dorsiflexion (MDF) is an important gait event corresponding to the maximum ankle dorsiflexion angle in each gait cycle. MDF timing plays an important role in the control of robotic prosthesis. This article puts forward an on-board adaptive algorithm to detect MDF timing of robotic transtibial prosthesis in different walking conditions (at different speeds and on different ramps) and for different users. Based on the adaptive algorithm, we can get a time-variant detection model. The framework of the adaptive algorithm is composed of: 1) training data collecting and labeling;2) model training and real-time detection;and 3) model updating according to the detection results. Based on the adaptive algorithm, we conducted speed and ramp experiments to detect MDF timings at slow, normal, and fast speeds, and on ramps with different inclination angles (10 degrees, 5 degrees, 0 degrees, -5 degrees, and -10 degrees). Three transtibial amputee participated in the experiments. The model training/updating time ranges from 3.6 to 4.1 s and the detection time ranges from 0.95 to 1.17 ms for different speeds and ramps. In real-time detection, there is false detection (1.67%) at normal walking speed. In addition, all MDF timings are detected correctly (accuracy: 100%) based on the adaptive algorithm. The mean detection delays are 7.23, 18.27, and 7.5 ms corresponding to slow, normal and fast speeds and 10.60, 10.30, 18.27, 10.27, and 15.63 ms for ramps of different inclination angles (10 degrees, 5 degrees, 0 degrees, -5 degrees, and -10 degrees). Compared with the proposed adaptive algorithm, both the nonadaptive and adaptive threshold decision methods cause more false detections. The results show that the proposed approach for MDF timing detection has adaptations to different walking conditions (speeds and ramps) and prosthesis users, which indicates that the adaptive algorithm is effective and shows the potential in robotic prosthesis control in the future. Note to Practi

关键词： Prosthetics Timing Robot sensing systems Legged locomotion Adaptation models adaptive algorithm maximum dorsiflexion (MDF) detection robotic transtibial prosthesis time-variant detection model

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QUANTIZATION EFFECTS IN THE COMPLEX LMS adaptive algorithm LINEARIZATION USING DITHER APPLICATIONS

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS 1988年第4期35卷 466-470页

作者： SHERWOOD, DT BERSHAD, NJ OPT SCI CO PLACENTIACA

The use of dither to linearize the gradient quantizer in a digitally implemented LMS adaptive algorithm is described. In a previous paper by the authors (see ibid., ***-34, no.7, p.848-54, 1987), a theoretical model for the performance of the system was presented. Now the theory is applied to the design of dither which prevents algorithm stalling yet does not significantly effect the steady-state mean square error of the algorithm. It is demonstrated that the contribution of dither to steady-state mean square error is negligible compared to the contribution of quantization noise when the dither vector has a high-pass temporal spectrum.< >

关键词： Quantization Least squares approximation Mean square error methods Steady-state algorithm design and analysis Covariance matrix Equations Circuits and systems Noise shaping adaptive algorithm

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Research on Library Recommendation Reading Service System Based on adaptive algorithm

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WIRELESS PERSONAL COMMUNICATIONS 2018年第2期102卷 1963-1977页

作者： Huang, Zhenzhen Li, Tianxu Xiao, Shuo China Univ Min & Technol Library Xuzhou Jiangsu Peoples R China China Univ Min & Technol Sch Comp Sci & Technol Xuzhou Jiangsu Peoples R China

In order to facilitate the user recommendation service system of library access, predict the future number of users and hobbies, and provide decision-making basis for e-commerce enterprises, this paper designs an adaptive Web Recommendation System Framework Self-adaptive Websites Recommendation System. It is divided into two parts: offline parts and online components. The former includes data collection, preprocessing and frequent access pattern mining. The latter generates recommendation sets based on existing mining rules and user's current access behaviour of offline components, and realizes adaptive online recommendation service. Taking the university library as an example, this paper uses the sliding window method to obtain the current user access path, then use association rule algorithm based on aggregation tree to generate association rule set. After getting association rule set, we use recommendation set generation algorithm to generate recommendation set. The results show that both theoretical analysis and experiment indicate that the method is effective and feasible.

关键词： University library Reading recommendation service system adaptive algorithm Data mining

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