Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
The Journal of Supercomputing
Published in: The Journal of Supercomputing 3/2013

01-09-2013

Network numerical analysis for the smoother and the lagged joint-process estimator

Authors: Yang Sun Lee, Dong Kyoo Kim, Leonard Barolli

Published in: The Journal of Supercomputing | Issue 3/2013

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Motivated by the fact that the a priori least-squares-order-recursive lattice (LSORL) smoother is more robust than the LSORL joint-process estimator with lagged desired signals in the finite precision, we model numerical properties of the two algorithms by virtue of previous efforts. Then, we give the reason why the smoother is substantially more robust than the lagged joint-process estimator by providing the explicit analysis for the performance difference of the two algorithms.
previous article How mobile phones perform in collaborative augmented reality (CAR) applications
next article An (almost) direct deployment of the Fast Multipole Method on the Cell processor

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Einicke GA (2006) Optimal and robust noncausal filter formulations. IEEE Trans Signal Process 54(3):1069–1077 CrossRef
2.
Zhao Q, Tong L (1999) Adaptive blind channel estimation by least squares smoothing. IEEE Trans Signal Process 47(11):3000–3012 MATHCrossRef
3.
Nawrocka A, Kot A (2011) Methods for EEG signal analysis. In: Proc. 12th inter journ Carpathian control conf, Velke Karlovice, Czech Rep, pp 266–269
4.
Xun C, Wang ZJ (2011) Design and implementation of a wearable, wireless EEG recording system. In: 5th inter conf on bioinformatics and biomedical engineering, Wuhan, China, pp 1–4
5.
Tarvainen MP, Hiltunen JK, Ranta-aho PO, Karjalainen PA (2004) Estimation of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization (ERS). IEEE Trans Biomed Eng 51(3):516–524 CrossRef
6.
Lee DT, Morf M, Friedlander B (1981) Recursive least squares LSORL estimation algorithms. IEEE Trans Circuits Syst CAS-28(6):467–481 MathSciNetCrossRef
7.
Morf M, Vieira A, Lee DT (1977) Ladder forms for identification and speech processing. In: Proc IEEE conf decision contr, New Orleans, LA, pp 1074–1078
8.
Reddy VU, Egardt B, Kailath T (1981) Optimized lattice-form adaptive line enhancer for a sinusoidal signal in broad-band noise. IEEE Trans Acoust Speech Signal Process 29:702–710 CrossRef
9.
Satorius EH, Pack JD (1981) Application of least squares lattice algorithms to adaptive equalization. IEEE Trans Commun 136–142
10.
Clement MJ, Judd GM, Morse BS, Flanagan JK (1999) Performance surface prediction for WAN-based clusters. J Supercomput 13(3):267–281 CrossRef
11.
Mathews VJ, Xie Z (1990) Fixed-point error analysis of stochastic gradient adaptive lattice filters. IEEE Trans Acoust Speech Signal Proces 38
12.
North R, Zeidler J, Ku W, Albert T (1993) A floating-point arithmetic error analysis of direct and indirect coefficient updating techniques for adaptive lattice filters. IEEE Trans Signal Process 41:1809–1823 MATHCrossRef
13.
Ling F (1989) Efficient least-squares lattice algorithms based on givens rotation with systolic array implementations. In: Proc. ICASSP, Glasgow, Scotland, pp 1290–1293
14.
Yang B (1994) A note on the error propagation analysis of recursive least squares algorithms. IEEE Trans Signal Process 42:3523–3525 CrossRef
15.
Levin MD, Cowan CFN The performance of eight recursive least squares adaptive filtering algorithms in a limited precision environment. In: Proc. European signal process conf, Edinburgh, Scotland pp 1261–1264
16.
Bunch JR, LeBorne RC (1995) Error accumulation effects for the a posteriori RLSLS prediction filter. IEEE Trans Signal Process 43(1):150–159 CrossRef
17.
Yuan JT, Stuller JA (1995) Least squares order recursive lattice smoothers. IEEE Trans Signal Process 43:1058–1067 CrossRef
18.
Kim DK, Park PG (2002) The normalized least squares order-recursive lattice smoothers. Signal Process 82:895–905 MATHCrossRef
19.
Haykin S (1996) Adaptive filter theory, 3rd edn. Prentice-Hall, Englewood Cliffs
20.
Godana B, Ekman T (2011) Linear prediction of time-varying MIMO systems using Givens rotations. In: Proc. SPAWC, San Francisco, CA, pp 317–375
21.
Proakis JG (1995) Digital communications, 3rd edn. McGraw-Hill, New York
22.
Chen F, Kwong S, Kok CW (2009) Blind MMSE equalization of FIR/IIR channels using oversampling and multichannel linear prediction. ETRI J 31(2):162–172 CrossRef
Metadata
Title
Network numerical analysis for the smoother and the lagged joint-process estimator
Authors
Yang Sun Lee
Dong Kyoo Kim
Leonard Barolli
Publication date
01-09-2013
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 3/2013
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-012-0753-2

Other articles of this Issue 3/2013

The Journal of Supercomputing 3/2013 Go to the issue

OriginalPaper

Hierarchical approaches for multicast based on Euclid’s algorithm

OriginalPaper

uBench: exposing the impact of CUDA block geometry in terms of performance

OriginalPaper

Leveraging bandwidth improvements to web servers through enhanced network interfaces

OriginalPaper

An (almost) direct deployment of the Fast Multipole Method on the Cell processor

OriginalPaper

Skeletal based programming for dynamic programming on MultiGPU systems

OriginalPaper

A multicore solution to Block–Toeplitz linear systems of equations

Premium Partner

    Image Credits