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Further Reading:
David Tse and Robert
Gallager, "Detection Notes", Massachussetts Institute of
Technology, Cambridge (MA), 2002.
H. Vincent Poor,
"An Introduction to Signal Detection and Estimation",
Springer Verlag, New York (NY), 1998.
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This paper was submitted to Dr. Wade Trappe
of Rutgers, The State University of New Jersey, as partial fulfillment of course
requirement in Stochastic Signals and Systems (ECE 541) on December 11, 2002.
Abstract
This paper aims at examining the basic ideas
behind hypothesis testing and its role in a communication system. The binary
data transmitted by a source is assumed to be corrupted by white Gaussian noise.
At the receiver's end, a decision is made about the original transmitted signal
using a simple binary hypothesis. The energy expended and the resulting bit
error rate are obtained corresponding to different transmission strategies and
variance levels in the noise. Based on this information, an optimum transmission
strategy is proposed that provides a minimum bit error rate while maintaining a
low power consumption.
The
complete text of the Term Paper may be accessed here (23 pages, 427 KB).
(Requires Adobe Reader)
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