Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Efficient decoding of correlated sources with application to DPCM image coding

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Emami, S. ; Dept. of Electr. Eng., North Florida Univ., Jacksonville, FL, USA ; Miller, S.L.

Three methods are proposed in this paper, in which the encoded signal is modelled as a Markov sequence. First, an optimum method for decoding correlated sequences is derived and it is shown to require Viterbi decoding. Then, a modified MAP method (MMAP) for Markov sequences is described. A maximal signal-to-noise (MSNR) receiver for DPCM systems is also developed that minimizes the distortion power due to channel errors; the appropriate cost matrix for this receiver is computed. These methods are applied to DPCM picture transmission over noisy channels and are compared to a recent method. The SNR graphs and the subjective examination of the enhanced pictures demonstrate that the proposed procedures are quite effective and are superior to a recent method. The MSNR receiver was found to be somewhat more effective than the MMAP receiver for a given order of the Markov source. The Markov modelling of the encoded signal is found to improve the SNR of the received pictures. Furthermore, it is observed that the gain increases with the increase in the order of the Markov model

Published in:

Communications, 1994. ICC '94, SUPERCOMM/ICC '94, Conference Record, 'Serving Humanity Through Communications.' IEEE International Conference on

Date of Conference:

1-5 May 1994