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

Publication2023

SPARSE ECHO CANCELLATION USING VARIANTS OF LEAST MEAN FOURTH AND LEAST MEAN SQUARE ALGORITHMS

The record

Type
Publication
Date
1 January 2023
Level
National
Journal
Facta Universitatis Series Electronics and Energetics
Volume
36
Issue
4
Pages
519-532
Published
1 January 2023
DOI
10.2298/fuee2304519m
Scopus ID
85190954570
ISSN
03533670
Authors
2
Open access
Yes
Citations
0
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

    TargetPrimaryModerate confidenceJudged

    Sparse adaptive algorithms including proportionate normalized least mean fourth method for echo cancellation optimization advance communication systems signal processing research.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    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 Innovation, Science and Technology

    ThemePrimaryModerate confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Sparse adaptive algorithms including proportionate normalized least mean fourth method for echo cancellation optimization advance communication systems signal processing research.

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

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KIIT Deemed to be University. “SPARSE ECHO CANCELLATION USING VARIANTS OF LEAST MEAN FOURTH AND LEAST MEAN SQUARE ALGORITHMS”. Kortex.

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