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Iterative Identification for Multivariable Systems with Time-Delays Based on Basis Pursuit De-Noising and Auxiliary Model

Junyao You, Yanjun Liu
2018 Algorithms  
Based on the basis pursuit de-noising criterion and the auxiliary model identification idea, an auxiliary model based basis pursuit de-noising iterative algorithm is presented.  ...  This paper focuses on the joint estimation of parameters and time-delays of the multiple-input single-output output-error systems.  ...  Based on the BPDN criterion and the auxiliary model identification idea, the sparse parameters and multiple-input time-delays can be effectively and simultaneously estimated.  ... 
doi:10.3390/a11110180 fatcat:d4t57yugs5fm7poqmlogjk3iei

A Novel Identification Method for A Class of Closed-Loop Systems Based on Basis Pursuit De-noising

Ying Chen, Yanjun Liu, Jing Chen, Junxia Ma
2020 IEEE Access  
INDEX TERMS Closed-loop system, basis pursuit de-noising, system identification, time-delay estimation.  ...  Taking into account the time-delays, an overparameterized identification model with a sparse parameter vector is established.  ...  An auxiliary model based orthogonal matching pursuit iterative algorithm was proposed for the joint parameter and time-delay estimation of multiple input output-error models [16] .  ... 
doi:10.1109/access.2020.2976862 fatcat:itzcyyyj4bgungjrtewr7zqvyu

Sparse Nonlinear MIMO Filtering and Identification [chapter]

G. Mileounis, N. Kalouptsidis
2013 Signals and Communication Technology  
Three identification approaches are discussed: conventional identification based on both input and output samples, semi-blind identification placing emphasis on minimal input resources and blind identification  ...  In this chapter system identification algorithms for sparse nonlinear multi input multi output (MIMO) systems are developed.  ...  Acknowledgements This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National  ... 
doi:10.1007/978-3-642-38398-4_7 fatcat:a7awuvl2prfvfkylo2za6cprz4

Use of Tree Traversal Algorithms for Chain Formation in the PEGASIS Data Gathering Protocol for Wireless Sensor Networks

Natarajan Meghanathan
2009 KSII Transactions on Internet and Information Systems  
19%-30% and at the same time, the energy loss per node can be 19%-35% lower than that obtained with the currently used distance-based greedy heuristic.  ...  Simulation studies on PEGASIS conducted for both TDMA and CDMA systems illustrate that using the chain of nodes generated from the tree traversal algorithms, the node lifetime can improve as large as by  ...  For CDMA (Code Division Multiple Access) systems [5] , PEGASIS has been later improved using a chain-based binary scheme to reduce the delay per round from N time slots to log N time slots, where N is  ... 
doi:10.3837/tiis.2009.06.003 fatcat:ue6nxtz42bdhndzdikg65lrgcy

Spectrum-efficient Distributed Compressed Sensing based Channel Estimation for OFDM Systems over Doubly Selective Channels

Anthony Ngozichukwuka Uwaechia, Nor Muzlifah Mayhuddin
2019 IEEE Access  
To make the numerous (unknown) estimation for the high-mobility OFDM systems practicable, the channels are assumed to be time-and frequency-selective−or doubly selective (DS) and approximated by a basis  ...  Furthermore, to obtain a channel estimator consistent with the jointly sparse delay-Doppler [i.e., two dimensional (2D)] channel model, an algorithm namely, distributed compressed sensing (DCS)-based stage  ...  One of these algorithms is basis pursuit. However, the l 1 -norm approach is often still computationally intensive and challenging to implement in real-time systems.  ... 
doi:10.1109/access.2019.2904596 fatcat:ihdccgimwvdsrnjbao6dbj5nbq

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., and Gao, H., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen,  ...  ., +, TCYB Nov. 2020 4558-4572 I Identification Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps.  ...  Adaptive Finite-Time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

Upgrading Behavioral Models for the Design of Digital Predistorters

Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra
2021 Sensors  
This work presents a strategy to upgrade models for power amplifier (PA) behavioral modeling and digital predistortion (DPD).  ...  These incomplete structures are the consequence of nonlinear order and memory depth model truncation with the purpose of reducing the demand of the limited computational resources available in standard  ...  Acknowledgments: The authors would like to thank the team of José Ángel García at Universidad de Cantabria for providing the class J power amplifier used in the experimental part of this work.  ... 
doi:10.3390/s21165350 pmid:34450792 pmcid:PMC8398801 fatcat:ozmlclmmx5agjgs3cavwnb6hky

A robust compressive sensing based technique for reconstruction of sparse radar scenes

Oguzhan Teke, Ali Cafer Gurbuz, Orhan Arikan
2014 Digital signal processing (Print)  
Although the perturbation idea is general and can be implemented in association with other greedy techniques, presently it is used within an orthogonal matching pursuit (OMP) framework.  ...  For efficient processing of radar returns, delay-Doppler plane is discretized and FFT techniques are employed to compute matched filter output on this discrete grid.  ...  The proposed technique is an iterative algorithm that works with a selected set of dictionary vectors that can be obtained via one of sparse greedy techniques such as matching pursuit (MP) [34] , orthogonal  ... 
doi:10.1016/j.dsp.2013.12.008 fatcat:wie4ksqojjhfreu62kajm4rgmq

Low-Complexity Progressive MIMO-OFDM Receiver for Underwater Acoustic Communication

Gang Qiao, Zeeshan Babar, Feng Zhou, Lu Ma, Xue Li
2019 Symmetry  
Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) proves to be a better choice for high speed underwater acoustic (UWA) communication as it increases the data rate and  ...  Here we propose two iterative receivers: one is ICI unaware iterative MIMO-OFDM receiver, which uses a novel cost function threshold based soft information decision feedback method.  ...  Figure 2 . 2 ICI unaware Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) Iterative Receiver block diagram.  ... 
doi:10.3390/sym11030362 fatcat:v5cwodvecnfwbmzgfxbsaoo5p4

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
transceiver design for multiple-input single-output (MISO) systems with coordinated base stations (BSs).  ...  Overall, we find that the cyclic approach of CMP produces signal models that are competitive with existing greedy iterative descent methods, such as matching pursuit (MP), orthogonal MP (OMP), and orthogonal  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

2005 index

2005 IEEE Communications Letters  
Xiaohong Huang, + , COML Jan 05 72-74 Delay estimation threshold selection for UWB TOA estimation based on Kurtosis anal. Guvenc, I., + , COML Dec 05 1025-1027 Delay lines; cf.  ...  Simple-to-evaluate error probabilities for impulse radio UWB multiple access systems with pulsebased polarity randomization; COML Sep 05 772-774 Rajatheva, N., see Dharmawansa, P., COML Oct 05 894-896  ...  Information rates adaptive RateLimit for 1xEV-DO reverse link traffic channels, rate control scheme BSased. HyeJeong Lee  ... 
doi:10.1109/lcomm.2005.1576594 fatcat:upvkv2oloze3jos34ny6hs6ove

Table of contents

2009 2009 17th Mediterranean Conference on Control and Automation  
This paper deals with the problem of delay-dependent stability and stabilization of Takagi-Sugeno (T-S) fuzzy systems with a time-varying delay.  ...  This work is based on common and multiple Lyapunov functions. The results are presented in LMI's form.  ...  Centre Henri Tudor Fault Tolerant Control (Regular Session) Detection and Identification of Actuator Failures in Robotic Systems Based on Multiple-Model Nonlinear State Estimation, pp.  ... 
doi:10.1109/med.2009.5164498 fatcat:bi37lbkbhfaihj7lbc64vvplo4

Compressive Sensing Based Joint Activity and Data Detection for Grant-Free Massive IoT Access [article]

Yikun Mei, Zhen Gao, Yongpeng Wu, Wei Chen, Jun Zhang, Derrick Wing Kwan Ng, Marco Di Renzo
2021 arXiv   pre-print
ratio obtained in the soft-decision can be exploited for refining the activity identification.  ...  Specifically, we spread the uplink access signals in multiple subcarriers with pre-equalization processing and formulate the JADD as a multiple measurement vector (MMV) compressive sensing problem.  ...  SYSTEM MODEL We consider a typical uplink grant-free massive access scenario with mMTC, where OFDM is adopted to overcome the time dispersive channels.  ... 
arXiv:2011.07928v3 fatcat:bzcixaa7uffybjh7ovvxgzdsfi

Binary Sparse Coding of Convolutive Mixtures for Sound Localization and Separation via Spatialization

Afsaneh Asaei, Mohammad Javad Taghizadeh, Saeid Haghighatshoar, Bhiksha Raj, Herve Bourlard, Volkan Cevher
2016 IEEE Transactions on Signal Processing  
using the image model.  ...  This approach relies on designing a dictionary of spatialized signals by projecting the microphone array recordings into the array manifolds characterized for different locations in a reverberant enclosure  ...  The mixing procedure is delineated with a multiple-input multiple-output mathematical model decomposed into sequential procedures to remove spatial interference followed by deconvolution of temporal echoes  ... 
doi:10.1109/tsp.2015.2488598 fatcat:jzgttdzfwja2fk53wbnq4uc65u

Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing

Xuanchen Xiang, Simon Foo
2021 Machine Learning and Knowledge Extraction  
The first part of a two-part series of papers provides a survey on recent advances in Deep Reinforcement Learning (DRL) applications for solving partially observable Markov decision processes (POMDP) problems  ...  In this overview, we introduce Markov Decision Processes (MDP) problems and Reinforcement Learning and applications of DRL for solving POMDP problems in games, robotics, and natural language processing  ...  Acknowledgments: The authors would like to express their appreciation to friends and colleagues who had assisted in the preparation of this paper.  ... 
doi:10.3390/make3030029 fatcat:u3y7bqkoljac5not2eq5konnnm
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