Near-lossless compression is a generalization of lossless compression, where the codec user is able to set the maximum absolute difference (the error tolerance) between the values …
N Wang, C Wang, SJ Lin - Distributed and Parallel Databases, 2021 - Springer
Data storage is an indispensable part of data management system. Asymmetric numeral systems (ANS) is a widely used compression algorithm. A number of implementations, such …
In this work, we present and evaluate a hardware architecture for the LOCO-ANS (Low Complexity Lossless Compression with Asymmetric Numeral Systems) lossless and near …
T Malach, S Greenberg, M Haiut - IEEE Access, 2020 - ieeexplore.ieee.org
Deep Neural Networks (DNN) are widely applied to many mobile applications demanding real-time implementation and large memory space. Therefore, it presents a new challenge …
R Tariq, SG Khawaja, MU Akram… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Data compression is an important algorithm which has found its use in modern day algorithms such as Convolutional Neural Networks (CNNs). Reconfigurable platforms (like …
Nowadays entropy encoders are part of almost all data compression methods, with the Asymmetrical Numeral Systems (ANS) family of entropy encoders having recently risen in …
In this work, we present and evaluate a hardware architecture for the LOCO-ANS (Low Complexity Lossless Compression with Asymmetric Numeral Systems) lossless and near …
Near-lossless compression is a generalization of lossless compression, where the codec user is able to set the maximum absolute difference (the error tolerance) between the values …