Kamal Premaratne

Professor

  • 1072 Citations
1986 …2019
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Personal profile

Research interests

See http://ece.miami.edu/faculty/cv.php?id=62

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Sensors Engineering & Materials Science
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Data fusion Engineering & Materials Science
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Digital filters Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Fixed point arithmetic Engineering & Materials Science
Sampling Engineering & Materials Science

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Research Output 1986 2019

Efficient computation of belief theoretic conditionals

Polpitiya, L. G., Premaratne, K., Murthi, M. & Sarkar, D., Jan 1 2019, p. 265-276. 12 p.

Research output: Contribution to conferencePaper

Computational Model
Reasoning under Uncertainty
Beliefs
Algorithms and Data Structures
Conditional Model

Efficient sensor selection with application to time varying graphs

Samarakoon, B. L., Murthi, M. & Premaratne, K., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-5 5 p. 8313073

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time-varying
Mean Squared Error
Sensor
sensors
Sensors

Regularized LMS and diffusion adaptation LMS with graph filters for non-stationary data

Lin, M. Z., Murthi, M. & Premaratne, K., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-December. p. 1-5 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Filter
filters
tradeoffs
Graph in graph theory
Adaptive algorithms
1 Citation (Scopus)

Uncertain Logic Processing: logic-based inference and reasoning using Dempster–Shafer models

Núñez, R. C., Murthi, M., Premaratne, K., Scheutz, M. & Bueno, O., Apr 1 2018, In : International Journal of Approximate Reasoning. 95, p. 1-21 21 p.

Research output: Contribution to journalArticle

First-order Logic
Reasoning
Logic
Uncertainty
Processing

An Efficient Polyphase Filter-Based Resampling Method for Unifying the PRFs in SAR Data

Torres, Y., Premaratne, K., Amelung, F. C. & Wdowinski, S., Jul 1 2017, (Accepted/In press) In : IEEE Transactions on Geoscience and Remote Sensing.

Research output: Contribution to journalArticle

Synthetic aperture radar
synthetic aperture radar
filter
Radar systems
Image quality