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Andrew Viterbi delivered the lecture in honor of his late friend and mentor Solomon Golomb, a mathematician, engineer, and professor of electrical engineering at USC who is partially credited with the creation of the game Tetris.
The extensive deployment of wireless infrastructure provides alternative low-cost methods for location awareness of mobile phone users in indoor environments by processing the received signal strength (RSS) of the mobile phone. In such a signal processing framework, hidden Markov models (HMMs) are often used to model the uncertainties of RSS data and incorporate environmental information into localization. Since hidden semi-Markov models (HsMMs) outperform HMMs in their ability to model state duration more flexibly, employing HsMMs for indoor user positioning is a promising research direction....
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