A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements.
Akbar M. SayeedPeter G. VourasCamillo GentileAlec WeissJeanne T. QuimbyZihang ChengBassel ModadYuning ZhangChethan AnjinappaFatih ErdenÖzgür ÖzdemirRobert MüllerDiego A. DupleichHan NiuDavid G. MichelsonAidan HughesPublished in: CoRR (2021)
Keyphrases
- computational complexity
- measured data
- parameter tuning
- learning algorithm
- fusion framework
- recently developed
- orders of magnitude
- maximum likelihood
- main contribution
- computational efficiency
- worst case
- parameter space
- parameter settings
- complexity analysis
- optimization problems
- point correspondences
- bayesian framework
- significant improvement
- feature selection
- genetic algorithm