Evidence map›Paper›PMID 32742159›Full record

ArticleIEEE signal processing letters2020

A Sparse Conjugate Gradient Adaptive Filter.

Ching-Hua Lee, Bhaskar D Rao, Harinath Garudadri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE signal processing letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ching-Hua LeeDepartment of Electrical and Computer Engineering, University of California, San Diego, CA 92093 USA.
Bhaskar D RaoDepartment of Electrical and Computer Engineering, University of California, San Diego, CA 92093 USA.
Harinath GarudadriDepartment of Electrical and Computer Engineering, University of California, San Diego, CA 92093 USA.

Funding

Quantifying Physical and Social Isolation, and Assessing Perceived LonelinessR01DC015436 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARUDADRI, HARINATH · 2016 to 2020
$2.4M
Self fitting of Amplification: Methodology and CandidacyR33DC015046 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI GARUDADRI, HARINATH, MACKERSIE, CAROL L · 2017 to 2020
$2.0M
Self fitting of Amplification: Methodology and CandidacyR21DC015046 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI GARUDADRI, HARINATH, MACKERSIE, CAROL L · 2016 to 2016
$222k
NIDCD NIH HHS R01 DC015436NIDCD NIH HHS R21 DC015046NIDCD NIH HHS R33 DC015046
6 · The paper itself

Abstract

In this letter, we propose a novel conjugate gradient (CG) adaptive filtering algorithm for online estimation of system responses that admit sparsity. Specifically, the Sparsity-promoting Conjugate Gradient (SCG) algorithm is developed based on iterative reweighting methods popular in the sparse signal recovery area. We propose an affine scaling transformation strategy within the reweighting framework, leading to an algorithm that allows the usage of a zero sparsity regularization coefficient. This enables SCG to leverage the sparsity of the system response if it already exists, while not compromising the optimization process. Simulation results show that SCG demonstrates improved convergence and steady-state properties over existing methods.

Indexed as

Affine scalingconjugate gradientiterative reweightingsparse adaptive filtersparse signal recovery

Identifiers

PMID32742159
PMCPMC7394291

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.