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Trellis quantization
Known as:
Trellis
, Trellis quantisation
Trellis quantization is an algorithm that can improve data compression in DCT-based encoding methods. It is used to optimize residual DCT…
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Related topics
Related topics
6 relations
Data compression
Discrete cosine transform
JPEG 2000
Lossy compression
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Minimizing embedding impact in steganography using trellis-coded quantization
Tomás Filler
,
Jan Judas
,
J. Fridrich
Electronic Imaging
2010
Corpus ID: 2878368
In this paper, we propose a practical approach to minimizing embedding impact in steganography based on syndrome coding and…
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Highly Cited
2002
Highly Cited
2002
Space-Time Codes for High Data Rate Wireless Communications
R. Gozali
2002
Corpus ID: 10533091
Space-time codes (STC) are a class of signaling techniques, offering coding and diversity gains along with improved spectral…
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Highly Cited
2000
Highly Cited
2000
A Bayesian Computer Vision System for Modeling Human Interactions
N. Oliver
,
Barbara Rosario
,
A. Pentland
IEEE Trans. Pattern Anal. Mach. Intell.
2000
Corpus ID: 1545504
We describe a real-time computer vision and machine learning system for modeling and recognizing human behaviors in a visual…
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Highly Cited
1998
Highly Cited
1998
Spatio-temporal coding for wireless communication
G. Raleigh
,
J. Cioffi
IEEE Trans. Commun.
1998
Corpus ID: 9484463
Multipath signal propagation has long been viewed as an impairment to reliable communication in wireless channels. This paper…
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Highly Cited
1993
Highly Cited
1993
Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1
C. Berrou
,
A. Glavieux
,
P. Thitimajshima
Proceedings of ICC '93 - IEEE International…
1993
Corpus ID: 17770377
A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the…
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Highly Cited
1991
Highly Cited
1991
Vector quantization and signal compression
A. Gersho
,
R. Gray
The Kluwer international series in engineering…
1991
Corpus ID: 118950728
1 Introduction.- 1.1 Signals, Coding, and Compression.- 1.2 Optimality.- 1.3 How to Use this Book.- 1.4 Related Reading.- I Basic…
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Highly Cited
1990
Highly Cited
1990
Trellis coded quantization of memoryless and Gauss-Markov sources
M. Marcellin
,
T. Fischer
IEEE Trans. Commun.
1990
Corpus ID: 44293567
Trellis-coded quantization (TCQ) is developed and applied to the encoding of memoryless and Gauss-Markov sources. The theoretical…
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Highly Cited
1989
Highly Cited
1989
A Viterbi algorithm with soft-decision outputs and its applications
J. Hagenauer
,
P. Hoeher
IEEE Global Telecommunications Conference, , and…
1989
Corpus ID: 62238412
The Viterbi algorithm (VA) is modified to deliver the most likely path sequence in a finite-state Markov chain, as well as either…
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Highly Cited
1988
Highly Cited
1988
Rate-compatible punctured convolutional codes (RCPC codes) and their applications
J. Hagenauer
IEEE Trans. Commun.
1988
Corpus ID: 6994545
The concept of punctured convolutional codes is extended by punctuating a low-rate 1/N code periodically with period P to obtain…
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Highly Cited
1982
Highly Cited
1982
Channel coding with multilevel/phase signals
G. Ungerboeck
IEEE Trans. Inf. Theory
1982
Corpus ID: 20715426
A coding technique is described which improves error performance of synchronous data links without sacrificing data rate or…
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