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 Viterbi Algorithm at 50 - USC Viterbi | School of Engineering usc.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from usc.edu Daily Mail and Mail on Sunday newspapers.
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. In this aspect, a user’s personal preference of staying in a particular area, and the functionality of certain areas, such as a dining room, as well as navigation landmarks, can be utilized in the HsMM to assist localization. This paper proposes an online HsMM forward recursion algorithm to incorporate these information for real-time smartphone user tracking. We apply the proposed HsMM forward
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