Publication2016
A fast hybrid adaptive filter for parameter estimation of non stationary sinusoid under noise
The record
- Type
- Publication
- Date
- 21 March 2016
- Level
- National
- Journal
- 2015 IEEE Power Communication and Information Technology Conference Pcitc 2015 Proceedings
- Pages
- 125-129
- Published
- 21 March 2016
- DOI
- 10.1109/pcitc.2015.7438146
- Scopus ID
- 84966546902
- Authors
- 4
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Presents modified Extended Kalman filter approach combining Taylor series expansion for accurate parameter estimation of non-stationary signals embedded in noise with improved computational efficiency.
- 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
vb-3.1 Research and development
Develops novel signal processing methodology advancing research and development in adaptive filtering and control system theory applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “A fast hybrid adaptive filter for parameter estimation of non stationary sinusoid under noise”. Kortex.