NDLI: THD and SNR tests using the simplified Volterra series with adaptive algorithms

Content Provider	IEEE Xplore Digital Library
Author	Hsieh, L.S.L. Grochowski, A.
Copyright Year	1995
Description	Author affiliation: AT&T Bell Labs., Allentown, PA, USA (Hsieh, L.S.L.; Grochowski, A.)
Abstract	A test technique for the total harmonic distortion (THD) and signal to noise ratio (SNR) is proposed. A modified Volterra series using harmonics in place of powers of the sinusoidal input is used to model the nonlinear characteristic of the device under test (DUT). The least-mean square (LMS) adaptive algorithm is used to identify the DUT model. While maintaining comparable accuracy this technique provides a more flexible test procedure than conventional methods, in terms of the frequency resolution, the number of samples, and the sampling rate. It outperforms conventional methods when there is a bin energy leakage, which occurs in a non-coherent system. It requires a lower number of data points, as a result, less data acquisition time is needed and test time is reduced. In addition, it is real-time computing while other conventional methods post-process blocks of data.
Starting Page	364
Ending Page	369
File Size	474763
Page Count	6
File Format	PDF
ISBN	0780329929
ISSN	10893539
DOI	10.1109/TEST.1995.529861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Signal to noise ratio Total harmonic distortion Power system harmonics Least squares approximation Adaptive algorithm Power system modeling Frequency Energy resolution Sampling methods
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics 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

Swerlein's and least squares algorithms for estimating signal harmonics: A comparative study

Least-Mean-Square algorithm based adaptive filters for removing power line interference from ECG signal

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Modified fast Kalman algorithm

Multichannel adaptive filtering for signal enhancement

Adaptive weighted least squares algorithm for Volterra signal modeling

Two-stage recursive least squares method for modeling power signals

Adaptive Fourier Modeling Of Evoked Potentials: Application To Cerebral Focal Ischemia

Frequency Tracking In Power Networks Of Harmonics

THD and SNR tests using the simplified Volterra series with adaptive algorithms

Similar Documents

Swerlein's and least squares algorithms for estimating signal harmonics: A comparative study

Least-Mean-Square algorithm based adaptive filters for removing power line interference from ECG signal

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

Modified fast Kalman algorithm

Multichannel adaptive filtering for signal enhancement

Adaptive weighted least squares algorithm for Volterra signal modeling

Two-stage recursive least squares method for modeling power signals

Adaptive Fourier Modeling Of Evoked Potentials: Application To Cerebral Focal Ischemia

Frequency Tracking In Power Networks Of Harmonics

THD and SNR tests using the simplified Volterra series with adaptive algorithms