The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Dithered quantizers
Abstract
A theory of overall quantization noise for nonsubtractive dither was originally developed in unpublished work by J.N. Wright and by T.J. Stockham and subsequently expanded by L.K. Brinton, S.P. Lipshitz, J. Vanderkooy, and R.A. Wannamaker. It is suggested that since these latter results are not as well known as the original results, misunderstanding persists in the literature. New proofs of the properties of quantizer dither, both subtractive and nonsubtractive, are provided. The new proofs are based on elementary Fourier series and Rice's characteristic function method and do not require the use of generalized functions (impulse trains of Dirac delta functions) and sampling theorem arguments. The goal is to provide a unified derivation and presentation of the two forms of dithered quantizer noise based on elementary Fourier techniques.>
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Citations
Cites
Barratt, K. H. (1985) · Electronics and Power · doi:10.1049/ep.1985.0201 · Cited by 1,523
Bennett, W. R. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01340.x · Cited by 970
Dither Signals and Their Effect on Quantization Noise
Schuchman, L. (1964) · IEEE Transactions on Communications · doi:10.1109/tcom.1964.1088973 · Cited by 408
Picture coding using pseudo-random noise
Roberts, L. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057702 · Cited by 339
Clavier, A. C., Panter, P. F., & Grieg, D. D. (1947) · Electrical Engineering · doi:10.1109/ee.1947.6443833 · Cited by 36
Cited by
Gray, R. M., & Neuhoff, D. L. (1998) · IEEE Transactions on Information Theory · doi:10.1109/18.720541 · Cited by 1,642
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McDonnell, M. D., & Abbott, D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000348 · Cited by 774
Distributed Consensus Algorithms in Sensor Networks: Quantized Data and Random Link Failures
Kar, S., & Moura, J. M. F. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2036046 · Cited by 435
Scalar costa scheme for information embedding
Eggers, J. J., Bauml, R., Tzschoppe, R., & Girod, B. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2003.809366 · Cited by 357
UVeQFed: Universal Vector Quantization for Federated Learning
Shlezinger, N., Chen, M., Eldar, Y. C., Poor, H. V., & Cui, S. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2020.3046971 · Cited by 275
Metadata
- Authors
- Gray, R. M., & Stockham, T. G.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1993-05
- Volume
- 39
- Issue
- 3
- Pages
- 805-812
- ISSN
- 0018-9448 (ISSN-L)
- 1557-9654
- OpenAlex
- W2293423476
- Cited by
- 409
- References
- 5
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- closed
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