Results 21 to 30 of about 15,859 (260)
FCLQC: fast and concurrent lossless quality scores compressor
BMC Bioinformatics, 2021 Background Advances in sequencing technology have drastically reduced sequencing costs. As a result, the amount of sequencing data increases explosively.
Minhyeok Cho, Albert No
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Recursive Least Squares for Near-Lossless Hyperspectral Data Compression
Applied Sciences, 2022 The hyperspectral image compression scheme is a trade-off between the limited hardware resources of the on-board platform and the ever-growing resolution of the optical instruments.
Tie Zheng +3 more
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Context-Aware Lossless and Lossy Compression of Radio Frequency Signals
Sensors, 2023 We propose an algorithm based on linear prediction that can perform both the lossless and near-lossless compression of RF signals. The proposed algorithm is coupled with two signal detection methods to determine the presence of relevant signals and apply
Aniol Martí +3 more
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A Novel Rate Control Algorithm for Onboard Predictive Coding of Multispectral and Hyperspectral Images [PDF]
, 2014 Predictive coding is attractive for compression onboard of spacecrafts thanks to its low computational complexity, modest memory requirements and the ability to accurately control quality on a pixel-by-pixel basis.
Magli, Enrico, Valsesia, Diego
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An FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images
Remote Sensing, 2020 Hyperspectral images offer great possibilities for remote studies, but can be difficult to manage due to their size. Compression helps with storage and transmission, and many efforts have been made towards standardizing compression algorithms, especially
Daniel Báscones +2 more
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Low-Complexity Approaches to Slepian–Wolf Near-Lossless Distributed Data Compression [PDF]
, 2006 This paper discusses the Slepian–Wolf problem of distributed near-lossless compression of correlated sources. We introduce practical new tools for communicating at all rates in the achievable region.
Anna H. Lee +6 more
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A novel method of data compression using ROI for biomedical 2D images
Measurement: Sensors, 2022 In the era of modern medical imaging communal, huge volume of medical image data are being acquired and need to be transmitted and archived which necessitate the development of efficient image compression techniques on both 2D and 3D images.
Dankan Gowda V +6 more
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Zero-error Slepian-Wolf Coding of Confined Correlated Sources with Deviation Symmetry [PDF]
, 2013 In this paper, we use linear codes to study zero-error Slepian-Wolf coding of a set of sources with deviation symmetry, where the sources are generalization of the Hamming sources over an arbitrary field. We extend our previous codes, Generalized Hamming
Cheng, Samuel, Ma, Rick
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Backward adaptive pixel-based fast predictive motion estimation [PDF]
, 2009 This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN +2 more
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BMC Bioinformatics, 2022 Background With the precision of the mass spectrometry (MS) going higher, the MS file size increases rapidly. Beyond the widely-used open format mzML, near-lossless or lossless compression algorithms and formats emerged in scenarios with different ...
Miaoshan Lu +4 more
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