Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

A. N. Datta

dblp:327/2025 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%
Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image reconstruction
iterative reconstruction
0.011987
On the resolution and contrast of microwave images using a complete first-order iterative algorithm · Proc. IEEE 1987
Image and video processing › radar imaging
microwave imaging
0.011987
On the resolution and contrast of microwave images using a complete first-order iterative algorithm · Proc. IEEE 1987
Physical-layer communications › propagation › electromagnetic wave propagation
electromagnetic scattering
0.011987
On the resolution and contrast of microwave images using a complete first-order iterative algorithm · Proc. IEEE 1987

Methods — techniques the papers use, named apart from their topics

first-order iterative algorithm · 0.0contrast and resolution analysis · 0.0
YearPublicationVenuePosition
1987 On the resolution and contrast of microwave images using a complete first-order iterative algorithm
abstract
The quality of microwave images achievable using a complete first-order iterative algorithm has been described with reference to a complex biological target. The results indicate the possibility of attaining resolution in the level of one-tenth of the wavelength. The contrast is shown to be excellent in picturing the loss part, whereas it is rather poor for the real-part image.
A. N. Datta
Proc. IEEE2
1986 Nonlinear extension to a moment method iterative reconstruction algorithm for microwave tomography
abstract
An iterative nonlinear algorithm for microwave image reconstruction based on moment method solutions to field problems has been suggested. The algorithm has been simplified significantly considering the effects due to the dominant nonlinear terms only. The results obtained using it have been compared with those reported earlier using a simpler algorithm.
A. N. Datta
Proc. IEEE1