Date of Award

1-1-2019

Language

English

Document Type

Master's Thesis

Degree Name

Master of Science (MS)

College/School/Department

Department of Electrical and Computer Engineering

Content Description

1 online resource (viii, 43 pages) : color illustrations.

Dissertation/Thesis Chair

Hany Elgala

Committee Members

Dola Saha, Jonathan Muckell

Keywords

autoencoder, communication, deep learning, neural network, Optical communications, Wireless communication systems, Machine learning, Artificial intelligence, Neural networks (Computer science)

Subject Categories

Computer Engineering | Electrical and Electronics

Abstract

Deep learning (DL) techniques have the potential of making communication systems

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