NDLI: Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm

Content Provider	IEEE Xplore Digital Library
Author	Bershad, N.J. Macchi, O.M.
Copyright Year	1991
Abstract	For pt.I see ibid., vol.39, no. 3, p.583-94 (1991). The authors present a methodology for evaluating the tracking behavior of the least-mean square (LMS) algorithm for the nontrivial case of recovering a chirped sinusoid in additive noise. A complete closed-form analysis of the LMS tracking properties for a nonstationary inverse system modeling problem is also presented. The mean-square error (MSE) performance of the LMS algorithm is calculated as a function of the various system parameters. The misadjustment or residual of the adaptive filter output is the excess MSE as compared to the optimal filter for the problem. It is caused by three errors in the adaptive weight vector: the mean lag error between the (time-varying mean) weight and the time-varying optimal weight; the fluctuations of the lag error; and the noise misadjustment which is due to the output noise. These results are important because they represent a precise analysis of a nonstationary deterministic inverse modeling system problem with the input being a colored signal. The results are in agreement with the form of the upper bounds for the misadjustment provided by E. Eweda and O. Macchi (1985) for the deterministic nonstationarity.<>
Sponsorship	IEEE Signal Processing Society
Starting Page	595
Ending Page	602
Page Count	8
File Size	588131
File Format	PDF
ISSN	1053587X
Volume Number	39
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chirp Least squares approximation Signal processing algorithms Fluctuations Signal to noise ratio Additive noise Filters Modeling Additive white noise Size control
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Comparative tracking performance of the LMS and RLS algorithms for chirped narrowband signal recovery

Tracking performance of leakage LMS for chirped signals

Adaptive recovery of a chirped sinusoid in noise. I. Performance of the RLS algorithm

Constrained adaptive LMS L-filters

Comparison of RLS and LMS algorithms for tracking a chirped signal

Adaptive recovery of a noisy chirp: performance of the SSLMS algorithm

On Error Saturation Nonlinearities for LMS Adaptation in Impulsive Noise

Chirp transform in the nonlinear tracking performance analysis of the LMS adaptive predictors

Modified fast Kalman algorithm

Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm

Similar Documents

Comparative tracking performance of the LMS and RLS algorithms for chirped narrowband signal recovery

Tracking performance of leakage LMS for chirped signals

Adaptive recovery of a chirped sinusoid in noise. I. Performance of the RLS algorithm

Constrained adaptive LMS L-filters

Comparison of RLS and LMS algorithms for tracking a chirped signal

Adaptive recovery of a noisy chirp: performance of the SSLMS algorithm

On Error Saturation Nonlinearities for LMS Adaptation in Impulsive Noise

Chirp transform in the nonlinear tracking performance analysis of the LMS adaptive predictors

Modified fast Kalman algorithm

Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm