Manohar Murthi

Associate Professor

  • 804 Citations
19972019
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Research Output 1997 2019

  • 804 Citations
  • 53 Conference contribution
  • 19 Article
  • 2 Chapter
  • 1 Paper

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

Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm Using Real-Time Convex Optimization

Giacobello, D., Murthi, M., Jensen, T. L. & Christensen, M. G., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1947-1952 6 p. 8645448. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

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

Speech coding
Convex optimization
Nonlinear analysis

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