Seamless Digital Upgrade of Analog Transmission Systems Using Coding with Side Information

Rohit Puri1 and Sandeep Pradhan2
(Professor Kannan Ramchandran)
MICRO 00-081

We study the problem of seamless digital upgrade of analog transmission systems in an information-theoretic setting. Our notion of seamlessness is in two regards: (1) backward compatibility with existing analog receivers, and (2) no extra digital spectrum for the upgrade. In this work, we consider Gaussian sources with memory (parallel Gaussian source model) and arbitrarily colored Gaussian channels (parallel Gaussian channel model) with the goal of optimizing (under a squared-error metric) the delivered analog and digital signal quality under a fixed (total) transmission power constraint. We show that a constructive scheme consisting of the cascade of source coding with side information (SCSI) and channel coding with side information (CCSI) can be used to come up with the jointly optimal end-to-end delivered digital and analog signal qualities corresponding to the peak digital upgrade quality deliverable.

[1]
R. Puri, K. Ramchandran, and S. S. Pradhan, "On Seamless Digital Upgrade of Analog Transmission Systems Using Coding with Side Information," Allerton Conf. Communication, Control, and Computing, Allerton, IL, October 2002.
1Postdoctoral Researcher
2Professor, University of Michigan Ann Arbor

Send mail to the author : (rpuri@eecs.berkeley.edu)


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