Quantization Noise
Quantization Noise is the error introduced during the process of quantization, specifically the difference between the original continuous or high-precision signal values and their discretized or lower-precision representations, arising as a form of distortion inherent to lossy data compression and exacerbated by sensor noise in digital signal acquisition.
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2017–2026
271
Variants
Quantization Error
1.3K
Least squares quantization in PCM
Sheelagh Lloyd · IEEE Transactions on Information Theory · 1982 · 15.6K citations · Full text
Robert M. Gray, David L. Neuhoff · IEEE Transactions on Information Theory · 1998 · 1.6K citations
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Massachusetts Institute of Technology, United States
12 publications · 1.3K citations
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Stanford University
Stanford, United States
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55 publications
7.9K citations
Massachusetts Institute of Technology
Cambridge, United States
20 h-index
69 publications
6.3K citations
University of California San Diego
San Diego, United States
20 h-index
46 publications
2.5K citations
Tsinghua University
Beijing, China
19 h-index
94 publications
3.3K citations
University of California, Los Angeles
Los Angeles, United States
19 h-index
36 publications
2.7K citations
Oregon State University
Corvallis, United States
18 h-index
67 publications
2.2K citations
AT&T (United States)
Bedminster, United States
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30 publications
17.1K citations

Delft University of Technology
Delft, The Netherlands
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28 publications
797 citations
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