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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2013

A signal processing adaptive algorithm for nonstationary power signal parameter estimation

The record

Type
Publication
Date
1 March 2013
Level
National
Journal
International Journal of Adaptive Control and Signal Processing
Volume
27
Issue
3
Pages
166-181
Published
1 March 2013
DOI
10.1002/acs.2287
Scopus ID
84875268157
ISSN
08906327
Authors
3
Open access
No
Citations
10
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Develops adaptive multi-objective Gauss-Newton algorithm for tracking time-varying amplitude, phase and frequency of power sinusoids in nonstationary noise.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.1 Research and development

    Sub-themePrimaryHigh confidenceJudged

    Advances research capacity in signal processing methodology and power system parameter estimation.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A signal processing adaptive algorithm for nonstationary power signal parameter estimation”. Kortex.

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