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l bnl compress: Lossy but not lossy compression, a python script to compress MX data [PDF]
Structural Dynamicsl_bnl_compress.py is a python script implementing the lossy compressions described in [1] for macromolecular crystallographic diffraction data. The lossy compressions use pixel-by-pixel binning, image-by-image summing, JPEG-2000 Daubechies (DB) wavelet ...
Herbert J Bernstein, Jean Jakoncic
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Belief Propagation Optimization for Lossy Compression Based on Gaussian Source [PDF]
Sensors, 2023 In the Internet of Things, sensor nodes collect environmental information and utilize lossy compression for saving storage space. To achieve this objective, high-efficiency compression of the continuous source should be studied.
Huan Deng +4 more
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Universality of Logarithmic Loss in Fixed-Length Lossy Compression [PDF]
Entropy, 2019 We established a universality of logarithmic loss over a finite alphabet as a distortion criterion in fixed-length lossy compression. For any fixed-length lossy-compression problem under an arbitrary distortion criterion, we show that there is an ...
Albert No
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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
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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
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
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Toward Extreme Lossy Compression Data to Enable Higher Data Rates MX [PDF]
Structural DynamicsAt last, a useful lossy compression method is available for MX crystallographic data. One could achieve a compression ratio as high as 3000 to 1, but with data loss so high that structural data can’t be interpreted faithfully.
Jean Jakoncic, Herbert J Bernstein
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The Likelihood Encoder for Lossy Source Compression [PDF]
2014 IEEE International Symposium on Information Theory, 2014 In this work, a likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma.
Cuff, Paul +2 more
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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.
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The Cosmos and Crystal Connection: What We Can Learn About Data Compression [PDF]
Structural DynamicsWe use both lossy and lossless compression methods to reduce large amounts of digital data, making it easier to store and manage. Lossy and lossless compression is frequently used in astronomy, to condense the large amount of data collected by ...
Kimberly M. Horvat +3 more
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