Results 11 to 20 of about 35,403 (321)
QVZ: lossy compression of quality values. [PDF]
Bioinformatics, 2018 Abstract Motivation Recent advancements in sequencing technology have led to a drastic reduction in the cost of sequencing a genome. This has generated an unprecedented amount of genomic data that must be stored, processed and transmitted.
Malysa G +5 more
europepmc +8 more sources
Lossy data compression with random gates [PDF]
Physical Review Letters, 2005 We introduce a new protocol for a lossy data compression algorithm which is based on constraint satisfaction gates. We show that the theoretical capacity of algorithms built from standard parity-check gates converges exponentially fast to the Shannon's ...
C. E. Shannon +9 more
core +5 more sources
One-shot lossy quantum data compression [PDF]
IEEE Transactions on Information Theory, 2013 We provide a framework for one-shot quantum rate distortion coding, in which the goal is to determine the minimum number of qubits required to compress quantum information as a function of the probability that the distortion incurred upon decompression ...
Datta, Nilanjana +3 more
core +5 more sources
Subset-universal lossy compression [PDF]
2015 IEEE Information Theory Workshop (ITW), 2015 To be presented at the 2015 IEEE Information Theory ...
Or Ordentlich, Ofer Shayevitz
openalex +4 more sources
Crumble: reference free lossy compression of sequence quality values. [PDF]
Bioinformatics, 2019 Bonfield JK, McCarthy SA, Durbin R.
europepmc +3 more sources
Lossy compression of Earth system model data based on a hierarchical tensor with Adaptive-HGFDR (v1.0) [PDF]
Geoscientific Model Development, 2021 Lossy compression has been applied to the data compression of large-scale Earth system model data (ESMD) due to its advantages of a high compression ratio.
Z. Yu +10 more
doaj +1 more source
The evolution of lossy compression. [PDF]
J R Soc Interface, 2017 In complex environments, there are costs to both ignorance and perception. An organism needs to track fitness-relevant information about its world, but the more information it tracks, the more resources it must devote to perception. As a first step towards a general understanding of this trade-off, we use a tool from information theory, rate–distortion
Marzen SE, DeDeo S.
europepmc +5 more sources
Rateless Lossy Compression via the Extremes. [PDF]
IEEE Trans Inf Theory, 2016 We begin by presenting a simple lossy compressor operating at near-zero rate: The encoder merely describes the indices of the few maximal source components, while the decoder's reconstruction is a natural estimate of the source components based on this information. This scheme turns out to be near-optimal for the memoryless Gaussian source in the sense
No A, Weissman T.
europepmc +6 more sources
Polar Lattices for Lossy Compression [PDF]
IEEE Transactions on Information Theory, 2021 Polar lattices, which are constructed from polar codes, have recently been proved to be able to achieve the capacity of the additive white Gaussian noise (AWGN) channel. In this work, we propose a new construction of polar lattices to solve the dual problem, i.e., achieving the rate-distortion bound of a memoryless Gaussian source, which means that ...
Ling Liu, Jinwen Shi, Cong Ling
openaire +3 more sources
Performance analysis of compression algorithms for information security: A Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Data compression is a vital part of information security, since compressed data is much more secure and convenient tohandle. Effective data compression technique creates an effective, secure, easy communicable & redundant data.
Neha Sharma, Usha Batra
doaj +1 more source