June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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Fingerprinting
The fingerprinting approaches used commonly have two phases: an offline phase and an online phase.
One phase uses a fingerprint database to construct position-dependent parameters, which are extracted from measured RSSIs' reference locations, known as offline phases. In a localization phase, which is also known as an online phase, the mapping of RSSI measurements is done to a reference location using the most relevant RSSI fingerprint from the database, which can be explained as follows:
In the preceding equation, 
is the total ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.