Results 11 to 20 of about 368,925 (266)
IET Computers & Digital Techniques, 2021 In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for a given mean ...
Celia Dharmaraj +2 more
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Data compression for sequencing data [PDF]
Algorithms for Molecular Biology, 2013 : Post-Sanger sequencing methods produce tons of data, and there is a general agreement that the challenge to store and process them must be addressed with data compression. In this review we first answer the question "why compression" in a quantitative manner. Then we also answer the questions "what" and "how", by sketching the fundamental compression
Sebastian Deorowicz, Szymon Grabowski
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Data Compression for Helioseismology [PDF]
, 2022 Efficient data compression will play an important role for several upcoming and planned space missions involving helioseismology, such as Solar Orbiter. Solar Orbiter, to be launched in October 2018, will be the next space mission involving helioseismology. The main characteristic of Solar Orbiter lies in its orbit. The spacecraft will have an inclined
Löptien, Björn +4 more
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Interactive Compression of Digital Data
Algorithms, 2010 If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression.
Bruno Carpentieri
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IET Signal Processing, 2021 A novel 2‐bit adaptive delta modulation (ADM) algorithm is presented based on uniform scalar quantization and fractional linear prediction (FLP) for encoding the signals modelled by a Gaussian probability density function. The study focusses on two major
Zoran Peric +2 more
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ACM Computing Surveys, 1987 This paper surveys a variety of data compression methods spanning almost 40 years of research, from the work of Shannon, Fano, and Huffman in the late 1940s to a technique developed in 1986. The aim of data compression is to reduce redundancy in stored or communicated data, thus increasing effective data density.
Lelewer, Debra A., Hirschberg, Daniel S.
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IEEE Access, 2023 Autonomous vehicles (AVs) are getting popular because of their usage in a wide range of applications like delivery systems, self-driving taxis, and ambulances.
Raj Parekh +8 more
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Investigation of the effect of seismic accelerogram data Compression on geotechnical earthquake engineering problems [PDF]
مهندسی عمران شریف, 2022 Modeling and analyzing various issues in civil engineering, especially in the field of geotechnical earthquake engineering and earthquake engineering, has always been a complex, time-consuming and costly task.
M. Salim Asadi, A. Bazrafshan Moghaddam
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On the Randomness of Compressed Data [PDF]
2019 Data Compression Conference (DCC), 2019 It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data. We investigate this premise for a variety of known lossless compression techniques, and find that, surprisingly, there is much variability in the randomness, depending on the chosen ...
Shmuel T. Klein, Dana Shapira
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Optimization of Scatter Network Architectures and Bank Allocations for Sparse CNN Accelerators
IEEE Access, 2022 Sparse convolutional neural network (SCNN) accelerators eliminate unnecessary computations and memory access by exploiting zero-valued activation pixels and filter weights.
Sunwoo Kim +2 more
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