Perceptual Coding
Perceptual Coding is a lossy data compression technique that exploits the limitations and characteristics of human sensory perception to selectively discard imperceptible information, thereby achieving efficient signal representation while preserving perceived quality.
455
Publications
30.6K
Citations
1.1K
Authors
469
Institutions
Publications per year
2017–2026
84
Parents
455
The Computational Anatomy of Psychosis
Rick A. Adams, Klaas Ε. Stephan, Harriet R. Brown et al. · Frontiers in Psychiatry · 2013 · 862 citations · Full text
Medicine, Neuroscience, Psychiatry +16
Perceptual coding of digital audio
Ted Painter, Andreas Spanias · Proceedings of the IEEE · 2000 · 758 citations
A Hierarchy of Time-Scales and the Brain
Stefan J. Kiebel, Jean Daunizeau, Karl Friston · PLoS Computational Biology · 2008 · 739 citations · Full text
Life Sciences, Anatomy, Neuroscience +16
1–5 of 455
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469
AT&T (United States)
Bedminster, United States
13 h-index
24 publications
3.7K citations
Nanyang Technological University
Singapore, Singapore
11 h-index
21 publications
1K citations

Shanghai Jiao Tong University
Shanghai, China
10 h-index
21 publications
744 citations
Nokia (United States)
Coppell, United States
10 h-index
19 publications
3.5K citations
New York University
New York, United States
9 h-index
25 publications
1.8K citations
Technical University of Munich
Munich, Germany
9 h-index
32 publications
2.4K citations
University of Southern California
Los Angeles, United States
8 h-index
17 publications
1.1K citations
Arizona State University
Tempe, United States
7 h-index
13 publications
2K citations
1–8 of 469
20 publications · 1.5K citations
17
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17 publications · 396 citations
13
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11 publications · 1.4K citations
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JASA · 10 publications · 952 citations
10
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10 publications · 2.4K citations
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