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A study of vector quantization for noisy channels
- N. Farvardin
- Computer ScienceIEEE Trans. Inf. Theory
- 1 July 1990
It is concluded that the channel-optimized vector quantizer design algorithm, if used carefully, can result in a fairly robust system with no additional delay.
On the performance and complexity of channel-optimized vector quantizers
- N. Farvardin, V. Vaishampayan
- Computer ScienceIEEE Trans. Inf. Theory
- 1991
It is demonstrated that for very noisy channels and a heavily correlated source, when the code book size is large, the number of encoding regions is considerably smaller than the codebook size-implying a reduction in encoding complexity.
Optimal quantizer design for noisy channels: An approach to combined source - channel coding
- N. Farvardin, V. Vaishampayan
- Computer ScienceIEEE Trans. Inf. Theory
- 1 November 1987
It is shown that this optimal design of the zero-memory quantization of memoryless sources could result in substantial performance improvements, more noticeable at high bit rates and for broad-tailed densities.
Progressive transmission of images over memoryless noisy channels
- V. Chande, N. Farvardin
- Computer ScienceIEEE Journal on Selected Areas in Communications
- 1 June 2000
This work develops a framework for encoding based on embedded source codes and embedded error correcting and error detecting channel codes and shows that the unequal error/erasure protection policies that maximize the average useful source coding rate allow progressive transmission with optimal unequal protection at a number of intermediate rates.
Optimum quantizer performance for a class of non-Gaussian memoryless sources
- N. Farvardin, J. Modestino
- Computer ScienceIEEE Trans. Inf. Theory
- 1 May 1984
It is demonstrated that similar performance can be expected for a wide range of memoryless sources and that the worst case performance is observed to be less than 0.3 bits/sample from the rate-distortion bound.
Three-dimensional subband coding of video
- C. Podilchuk, N. Jayant, N. Farvardin
- Computer ScienceIEEE Trans. Image Process.
- 1 February 1995
The results of video coding based on a three-dimensional spatio-temporal subband decomposition are competitive with traditional video coding techniques and provide the motivation for investigating the 3-D subband framework for different coding schemes and various applications.
Comparison of different methods of classification in subband coding of images
- R. Joshi, H. Jafarkhani, R. Bamberger
- Computer ScienceElectronic Imaging
- 3 March 1995
A new method of classification based on vector quantization of AC energy n-tuples formed by energies of blocks which correspond to the same spatial location in the original image but belong to different subbands, which allows us to reduce the side information at the same time maximizing classification gain for each band under the vector constraint.
Subband image coding using entropy-coded quantization over noisy channels
- N. Tanabe, N. Farvardin
- Computer ScienceInternational Conference on Acoustics, Speech…
- 3 April 1990
In the presence of channel noise, these channel-optimized schemes offer dramatic performance improvements over schemes designed based on a noiseless-channel assumption.
Optimal Detection of Discrete Markov Sources Over Discrete Memoryless Channels - Applications to Combined Source-Channel Coding
- N. Phamdo, N. Farvardin
- Computer ScienceProceedings. IEEE International Symposium on…
- 17 January 1993
It is shown that the instantaneous MAP detector can be combined with the VQ decoder to form an approximate minimum mean-squared error decoder and the residual redundancy can be used by the MAP detectors to combat channel errors.
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