Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities
Summary :
This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.11 pp.2198-2208
- Publication Date
- 2013/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E96.A.2198
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
WemerM. WEE
Tokyo Institute of Technology
Isao YAMADA
Tokyo Institute of Technology
Keyword
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WemerM. WEE, Isao YAMADA, "Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities" in IEICE TRANSACTIONS on Fundamentals,
vol. E96-A, no. 11, pp. 2198-2208, November 2013, doi: 10.1587/transfun.E96.A.2198.
Abstract: This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.2198/_p
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@ARTICLE{e96-a_11_2198,
author={WemerM. WEE, Isao YAMADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities},
year={2013},
volume={E96-A},
number={11},
pages={2198-2208},
abstract={This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.},
keywords={},
doi={10.1587/transfun.E96.A.2198},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2198
EP - 2208
AU - WemerM. WEE
AU - Isao YAMADA
PY - 2013
DO - 10.1587/transfun.E96.A.2198
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2013
AB - This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.
ER -
English
