Abstract: Consider a vector quantizer that is equipped with N side information bits of an arbitrary representation of the statistics of the input source.
ISSN Information: Print ISSN: 0018-9448 Electronic ISSN: 1557-9654
INSPEC Accession Number: 5625595
DOI: 10.1109/18.605571
INSPEC Accession Number: 5625595
DOI: 10.1109/18.605571
Consider a vector quantizer that is equipped with N side information bits of an arbitrary representation of the statistics of the input source.
This work investigates the minimum value of N such that rate-distortion performance of this quantizer would be essentially the same as the optimum quantizer ...
The original data contains a certain amount of information, and there is a lower limit to the size of file that can carry all the information. Basic information ...
Lossless compression is possible because most real-world data exhibits statistical redundancy. ... By contrast, lossy compression permits reconstruction only of ...
Lossy compression techniques involve some loss of information, and data that have been compressed using lossy techniques generally cannot be recovered or ...
Mar 9, 2022 · We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables.
Some of the text and figures in the Lossy Compression sections are from scribe notes ... This self information represents the number of bits of information ...
Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression ...
In practice, they have to try compressing the data sets multiple times to estimate the pre- cision required corresponding to the expected error bound. On the ...