A class of scalable feedback algorithms for beam and null-forming from distributed arrays.
Sairam GoguriBenjamin PeifferRaghuraman MudumbaiSoura DasguptaPublished in: ACSSC (2016)
Keyphrases
- computational cost
- benchmark datasets
- lightweight
- machine learning algorithms
- learning algorithm
- data structure
- highly efficient
- multi class
- orders of magnitude
- distributed systems
- computationally efficient
- theoretical analysis
- highly scalable
- data sets
- single pass
- distributed environment
- optimization problems
- worst case
- significant improvement
- training set
- data mining
- neural network