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On reducing the communication cost of the diffusion LMS algorithm

2018 IEEE Transactions on Signal and Information Processing over Networks  
tasks over networked agents.  ...  Although it is relatively simple to implement diffusion strategies over a cluster, it appears to be challenging to deploy them in an ad-hoc network with limited energy budget for communication.  ...  Evolution of the MSD as a function of the compression ratio for compressed diffusion LMS (center), and doubly-compressed diffusion LMS (right).  ... 
doi:10.1109/tsipn.2018.2863218 fatcat:gegmo5lpbbbmnkv2hugoeminwm

Diffusion Adaptation Framework for Compressive Sensing Reconstruction [article]

Yicong He, Fei Wang, Shiyuan Wang, Badong Chen
2018 arXiv   pre-print
Then, a simple and efficient gradient-descend based diffusion algorithm has been proposed to collaboratively recover the sparse signal over network.  ...  In this paper, we propose a novel diffusion adaptation framework for CS reconstruction, where the reconstruction is performed in a distributed network.  ...  The proposed Dl 0 -LMS is a variant of traditional sparse diffusion LMS algorithm [31] , [32] , which have shown abilities in learning the sparse structure over distributed networks.  ... 
arXiv:1712.00703v3 fatcat:yvqbbjaat5aylpljram2vwrage

2010 Index IEEE Transactions on Signal Processing Vol. 58

2010 IEEE Transactions on Signal Processing  
W., +, TSP Sept. 2010 4526-4534 Diffusion Diffusion LMS Strategies for Distributed Estimation. Cattivelli, F.  ...  ., +, TSP Sept. 2010 4795-4810 Diffusion LMS Strategies for Distributed Estimation. Cattivelli, F.  ... 
doi:10.1109/tsp.2010.2092533 fatcat:4y66ezuo7zf6doe6nwjqwtc42i

2020 Index IEEE Transactions on Signal Processing Vol. 68

2020 IEEE Transactions on Signal Processing  
Yuan, K., +, TSP 2020 4466-4480 Diffusion Average-Estimate Bias-Compensated LMS Algorithms Over Adaptive Networks Using Noisy Measurements.  ...  ., +, TSP 2020 4307-4319 Adaptive signal processing Diffusion Average-Estimate Bias-Compensated LMS Algorithms Over Adaptive Networks Using Noisy Measurements.  ... 
doi:10.1109/tsp.2021.3055469 fatcat:6uswtuxm5ba6zahdwh5atxhcsy

Gossip Algorithms for Distributed Signal Processing

Alexandros G. Dimakis, Soummya Kar, José M. F. Moura, Michael G. Rabbat, Anna Scaglione
2010 Proceedings of the IEEE  
distributed estimation, source localization, and compression.  ...  to unreliable wireless network conditions.  ...  An equivalent formulation of the estimation problem in the setting considered above comes from the distributed least mean square (LMS) adaptive filtering framework [93] - [95] .  ... 
doi:10.1109/jproc.2010.2052531 fatcat:ssu7tyrodbgwhaoiogfdcyqesm

2019 Index IEEE Transactions on Signal Processing Vol. 67

2019 IEEE Transactions on Signal Processing  
Nguyen, T.N.A., +, TSP June 1, 2019 3042-3057 Adaptive Diffusions for Scalable Learning Over Graphs.  ...  Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks.  ... 
doi:10.1109/tsp.2020.2968163 fatcat:dvvpqntb2rc2bjed5nnk4xora4

Learning and Prediction Theory of Distributed Least Squares [article]

Siyu Xie, Yaqi Zhang, Lei Guo
2019 arXiv   pre-print
In this paper, we consider a least-squares (LS)-based distributed algorithm build on a sensor network to estimate an unknown parameter vector of a dynamical system, where each sensor in the network has  ...  Our main task is to generalize the well-known theoretical results on the traditional LS to the current distributed case by establishing both the upper bound of the accumulated regrets of the adaptive predictor  ...  Stability and performance analyses have also been established for different distributed estimation algorithms, for example, incremental LMS [3] , [4] , consensus LMS [7] , [8] , diffusion LMS [17]  ... 
arXiv:1912.11686v1 fatcat:23q5eift5bbeneuzlyldqaf3i4

Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology

A. Bertrand, M. Moonen
2013 IEEE Signal Processing Magazine  
learning, i.e., without relying on an 'external observer' who has a complete overview over the network.  ...  We also highlight how this knowledge can be exploited in several distributed signal processing tasks, e.g., for distributed estimation (including consensus-, diffusion-, and gossip-type algorithms), base  ...  The norm w (i) can then be viewed as an instantaneous network-wide performance measure at iteration i of the diffusion LMS algorithm.  ... 
doi:10.1109/msp.2012.2232713 fatcat:hivfu3rmo5empckeerjxsqbnpm

Larger wafers boosting GaAs and InP electronics

Mark Telford
2000 III-Vs review  
However, Nortel Networks and University of California Santa Barbara reported InGaAs/InAlAs/InP HBT MMIC amps with record power performance at W band: 11.7 mW (10.7 dBm) at 78 GHz under 1 dB of gain compression  ...  -adapting multi-wafer MBE technology for the first commercial 40 Gb/s InP products, with line yield >90% (comparable to GaAs).  ... 
doi:10.1016/s0961-1290(00)80010-1 fatcat:4wl4skcpxbe2fgylg2bmhwado4

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  
Various algorithms and performance analyses have been put forward for such networks, such as the adapt-then-combine (ATC) and combine-then-adapt (CTA) diffusion algorithms, the probabilistic diffusion  ...  algorithm, and diffusion with adaptive weight links.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
In this paper we follow-up on recent massive MTC concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser detection.  ...  received the B.A.Sc. degree (with honors) from the University of British Columbia, Vancouver, BC, Canada, in 1985 and the M.A.Sc. and Ph.D. degrees from The 5th generation (5G) wireless communication network  ...  This paper proposes distributed sparsity-aware adaptive algorithms based on the conjugate gradient (CG) method and the diffusion strategy for parameter estimation over sensor networks.  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

Ping-pong beam training for reciprocal channels with delay spread

Elisabeth de Carvalho, Jorgen Bach Andersen
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
We consider the problem of delay minimization over the downlink of a heterogeneous wireless network by optimizing the association of users to transmission points (TPs) subject to per-user finite buffer  ...  More specifically, it iteratively adapts to the varying target/clutter statistics of the FLGPR images.  ...  This paper proposes distributed sparsity-aware adaptive algorithms based on the conjugate gradient (CG) method and the diffusion strategy for parameter estimation over sensor networks.  ... 
doi:10.1109/acssc.2015.7421451 dblp:conf/acssc/CarvalhoA15 fatcat:mqokuvnh3zg45licnfbgxyvxfu

Revealing deformation mechanisms with nanoindentation

D. Kiener, K. Durst, M. Rester, A. M. Minor
2009 JOM: The Member Journal of TMS  
Espinosa and colleagues, 71, 85 where a long doubly clamped freestanding thin fi lm is pushed in its center using a nanoindenter (Figure 6) .  ...  The fi gure is adapted from Reference 18. number and magnitude of slip events display power-law scaling (with a cut off), in some cases spanning event sizes that range over three orders of magnitude.  ... 
doi:10.1007/s11837-009-0036-4 fatcat:vblgmqvqgjezhhym7qs5esbg7i

What is second-order vision for? Discriminating illumination versus material changes

A. J. Schofield, P. B. Rock, P. Sun, X. Jiang, M. A. Georgeson
2010 Journal of Vision  
Contrast gain control allows the LM + AM cue to suppress responses to the LM j AM when presented in a plaid. Thus, the model sees LM j AM as flat in these circumstances.  ...  We have shown that in-phase combinations of LM and AM are perceived as a shaded corrugated surface whereas the anti-phase combination can be seen as corrugated when presented alone or as a flat material  ...  over this range.  ... 
doi:10.1167/10.9.2 pmid:20884600 fatcat:al4vdtrnvvf2bcb6umkzv3khvu

2020 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 67

2020 IEEE Transactions on Circuits and Systems - II - Express Briefs  
., Recursive Constrained Maximum Correntropy Criterion Algorithm for Adaptive Filtering; TCSII Oct. 2020 2229-2233 Qian, J., Lu, M., and Huang, N., Radar and Communication Co-Existence Design Based  ...  ., +, TCSII June 2020 1164-1168 Reduced-Communication Diffusion RLS for Distributed Estimation Over Multi-Agent Networks.  ...  Shi, W., +, TCSII Oct. 2020 2224-2228 Reduced-Communication Diffusion RLS for Distributed Estimation Over Multi-Agent Networks.  ... 
doi:10.1109/tcsii.2020.3047305 fatcat:ifjzekeyczfrbp5b7wrzandm7e
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