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Stability and Steady-State Performance of Hammerstein Spline Adaptive Filter Based on Stochastic Gradient Algorithm

Sethakarn Prongnuch, Suan Sunandha Rajabhat University, Suchada Sitjongsataporn, Mahanakorn University of Technology
2020 International Journal of Intelligent Engineering and Systems  
Hence, the stability and steady-state performance are detailed.  ...  A nonlinear Hammerstein adaptive filter consists of memoryless function modified during learning and the spline control point is automatically controlled by gradient-based method.  ...  Stability and steady-state performance We address the point of stability and steady-state performance of adaptive step-size normalized least mean square algorithm based on Hammerstein cubic spline adaptive  ... 
doi:10.22266/ijies2020.0630.11 fatcat:dziz72ilurb43amuw6lbp3yg3a

Performance Analysis and Enhancement of Spline Adaptive Filtering based on Adaptive Step-size Variable Leaky Least Mean Square Algorithm

Sethakarn Prongnuch, Suchada Sitjongsataporn
2020 Advances in Science, Technology and Engineering Systems  
The proposed algorithm merges an adaptive step-size and a modified variable leaky method with least mean square algorithm for linear and nonlinear network part of spline adaptive filtering in term of fast  ...  adaptive filter.  ...  steady-state.  ... 
doi:10.25046/aj050678 fatcat:lyfodufhs5e43mf5drmoibhwvq

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2014 Signal Processing  
Keywords: Spline adaptive filter Nonlinear adaptive filter Least mean square Hammerstein system identification Excess mean square error a b s t r a c t In this paper a novel class of nonlinear Hammerstein  ...  This new kind of adaptive function is then applied to the input of a linear adaptive filter and it is used for the identification of Hammerstein-type nonlinear systems.  ...  The aim of this paragraph is to study the mean square performance of the proposed architecture at steady-state.  ... 
doi:10.1016/j.sigpro.2014.01.019 fatcat:564qxtzlq5hafcqkaxmsle43vm

Performance Analysis of Orthogonal Gradient Sign Algorithm Using Spline-based Hammerstein Model for Smart Application

Suchada Sitjongsataporn, Sethakarn Prongnuch
2022 Journal of Mobile Multimedia  
Spline-based Hammerstein architecture consists of an interpolation spline-based adaptive lookup table in the part of nonlinear filter and an adaptive finite impulse response filter used in the part of  ...  Hammerstein spline adaptive filter (HSAF) is a nonlinear filter for the nonlinear systems among the advantages in the low computational cost and high performance.  ...  is to derive the mean square error performance of orthogonal gradient-based sign algorithm on the spline-based Hammerstein filtering at the steady-state.  ... 
doi:10.13052/jmm1550-4646.18412 fatcat:46amlbtfcjbttag6f7re5ot6yy

Stochastic Behaviour Analysis of Adaptive Averaging Step-size Sign Normalised Hammerstein Spline Adaptive Filtering

Theerayod Wiangtong, Sethakarn Prongnuch, Suchada Sitjongsataporn
2021 Advances in Science, Technology and Engineering Systems  
Experimental results reveal that the proposed algorithm can perform better than the least mean square approach based on the Hammerstein model of adaptive filtering.  ...  To improve the performance by reducing computational complexity, we suggest an adaptive averaging using energy of errors to update step-size variant.  ...  Hammerstein Spline Adaptive Filtering The structure of Hammerstein spline adaptive filtering (HSAF) is depicted in Figure 1 .  ... 
doi:10.25046/aj060162 fatcat:shfubrs4h5buxmbgw3pp36lyey

Adaptive Spline Based PLL for Synchronization and Power Quality Improvement in Distribution System

Alka Singh, Hemant Saxena, Jitendra Nath Rai
2020 IET Generation, Transmission & Distribution  
A new type of non-linear adaptive phase-locked loop (PLL) has been proposed here, which is based on spline interpolation.  ...  An application of the proposed PLL to power quality improvement of grid current using shunt active power filter is further discussed here.  ...  Acknowledgments The authors are thankful to the Department of Science and Technology, Science and Engineering Research Board, Government of India for the sponsored project (EMR/ 2016/001874).  ... 
doi:10.1049/iet-gtd.2019.0662 fatcat:dkkxsdgk35bopo6nndwtcta5hy

Friction compensation of gantry crane model based on the B-spline neural compensator

Jadranko Matusko, Fetah Kolonic, Sandor Iles, Alojz Slutej
2010 Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010  
The experimental results show that friction compensator is able to remove position error in steady state.  ...  Selflearning compensator is based on the B-spline artificial neural network which consists of the one hidden layer of the B-spline second order functions.  ...  Such the increase in friction force when velocity approaches zero is the main cause of the steady state error in positioning systems.  ... 
doi:10.1109/epepemc.2010.5606601 fatcat:atpemlozznejfnrwml5p42azcm

Two variants of the IIR spline adaptive filter for combating impulsive noise

Chang Liu, Chao Peng, Xiao Tang, Xueliang Liu
2019 EURASIP Journal on Advances in Signal Processing  
It has been pointed out that the nonlinear spline adaptive filter (SAF) is appealing for modeling nonlinear systems with good performance and low computational burden.  ...  This paper proposes a normalized least M-estimate adaptive filtering algorithm based on infinite impulse respomse (IIR) spline adaptive filter (IIR-SAF-NLMM).  ...  Acknowledgements The authors would like to thank National Natural Science Foundation of China for financially support.  ... 
doi:10.1186/s13634-019-0605-9 fatcat:lsnvushlz5hmtgrrm6gvpbh4ga

Diesel Engine Emission Model Transient Cycle Validation

Dhinesh V Velmurugan, Markus Grahn, Tomas McKelvey
2016 IFAC-PapersOnLine  
Nearly 4600 engine operating points with steady state measurement including nominal and deviant conditions have been used in the development of the model.  ...  The hypothesis formulated is that a transient engine emission model can be envisioned as a sequence of multi-step steady state engine operation points with minor deviations from the nominal engine operating  ...  Steady state performance comparison and analysis The steady state operating points used in the creation of the models are used in the validation of the steady state performance of the models thus developed  ... 
doi:10.1016/j.ifacol.2016.08.001 fatcat:w5u626pvtbdefk64r66nvkrwjq

Spline-Based Adaptive Cancellation of Even-Order Intermodulation Distortions in LTE-A/5G RF Transceivers [article]

Thomas Paireder, Christian Motz, Mario Huemer
2020 arXiv   pre-print
Unlike most state-of-the-art spline-based adaptive learning schemes, we allow for complex-valued in- and output signals.  ...  The high flexiblity of the spline interpolation allows the spline Wiener models to get close to the kernel recursive least squares algorithm at less than 0.5 % of the arithmetic operations.  ...  In contrast, the norm limiting is also able to reduce clipping while not impacting the steady-state performance at all.  ... 
arXiv:2010.15998v1 fatcat:tyq5qzmfbbcendd2dw5k27bqhu

A Frequency Adaptive Scheme Based on Newton Structure of PRRC for LCL-Type Inverter Connected with Weak Grid

Chengbi Zeng, Sudan Li, Hanwen Wang, Hong Miao
2021 Energies  
To achieve the zero steady-state error tracking of inverter current and compensate the harmonic distortion caused by frequency fluctuation, a frequency adaptive (FA) control scheme for LCL-type inverter  ...  The structure of the proposed FD filter is relatively simple; moreover, coefficients of the filter maintain constant so as not to need online tuning even when grid frequency fluctuates, which decreases  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en14144225 fatcat:cttbga3r6zedrpktejph3bglsy

Nonlinear spline adaptive filtering

Michele Scarpiniti, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini
2013 Signal Processing  
This new kind of adaptive function is then applied to the output of a linear adaptive filter and it is used for the identification of Wiener-type nonlinear systems.  ...  In this paper a new class of nonlinear adaptive filters, consisting of a linear combiner followed by a flexible memory-less function, is presented.  ...  Acknowledgment The authors would like to thank all anonymous reviewers and the editor for their precious and helpful comments and suggestions in improving the quality of this work.  ... 
doi:10.1016/j.sigpro.2012.09.021 fatcat:f4bf7kgyojfx7mxls2wkcghn4e

Spline-Based Adaptive Cancellation of Even-Order Intermodulation Distortions in LTE-A/5G RF Transceivers

Thomas Paireder, Christian Motz, Mario Huemer
2021 IEEE Transactions on Vehicular Technology  
Unlike most state-of-the-art spline-based adaptive learning schemes, the proposed concept allows for complex-valued inand output signals.  ...  The high flexibility of the spline interpolation allows the splinebased Wiener models to match the performance of the kernel recursive least squares algorithm at less than 0.6 % of the arithmetic operations  ...  For more information, see This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tvt.2021.3076843 fatcat:tni2fmhamjcffhnr3lfdhcfjfi

Cascaded Spline-Based Models for Complex Nonlinear Systems: Methods and Applications

Pablo Pascual Campo, Lauri Anttila, Dani Korpi, Mikko Valkama
2021 IEEE Transactions on Signal Processing  
First, evaluations with measured data from an in-band full-duplex prototype working at 2.4 GHz ISM band show that the algorithms are capable of obtaining similar cancellation performance as existing state-of-theart  ...  as FIR filters.  ...  It can also be observed that the convergence of the DPD models is fast in general, reaching the steady-state in approximately 4-5 DPD iterations.  ... 
doi:10.1109/tsp.2020.3046355 fatcat:hgdv3xg7nfekrdtohgdxizc44y

A Review of Noise Cancellation Techniques for Cognitive Radio [article]

Adnan Quadri
2018 arXiv   pre-print
One of the fundamental challenges affecting the performance of communication systems is the undesired impact of noise on a signal.  ...  To establish comprehensive overview, a performance comparison of the discussed denoising techniques are also provided.  ...  Performance of adaptive filter based techniques LMS algorithm requires an optimal step size to be defined at the initial stage of the adaptive filtering process.  ... 
arXiv:1801.01111v1 fatcat:gkypbuxg7nbdpgu3tq5vjehy6e
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