Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/49116
Title: Tuning an underwater communication link
Authors: SATISH SHANKAR
Keywords: underwater communication, machine learning, reinforcement learning, signal processing, adaptive modulation, multi-armed bandits, bandit learning
Issue Date: 7-May-2013
Source: SATISH SHANKAR (2013-05-07). Tuning an underwater communication link. ScholarBank@NUS Repository.
Abstract: A family of machine learning algorithms to optimize an underwater communication link are developed in this thesis. We continuously adjust the physical layer parameters of a point-to-point communication link and aim to maximize the average data rate. The algorithms are statistical in nature and are driven by bit error rate information, hence they are independent of the actual physical layer implementation.
URI: http://scholarbank.nus.edu.sg/handle/10635/49116
Appears in Collections:Master's Theses (Open)

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