Statistical Learning in Digital Wireless Communications
Lecture within the tutorial Statistical Methods in Learning
Speaker: Toshiyuki Tanaka (Tokyo Metropolitan University, Tokyo, Japan)
Digital wireless communication systems can be regarded
as solving a statistical learning problem in real time.
The sender-side process of encoding and/or modulating information
to be sent can be viewed as generation process of training data
in the statistical learning point of view, while the receiver-side
process of decoding and/or demodulating the information on the basis
of possibly noisy received signals as the learning process based
on the training data set. Based on this view one can analyze
digital wireless communication systems within the framework of
statistical learning, where an approach based on statistical physics
provides powerful tools. Analysis of the code-division multiple-access
(CDMA) demodulation problem is discussed in detail as a demonstrative
example of this approach.
©Copyright 2004 Author
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