What are finite-context models?

Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. This work is devoted to the study and comparison of some lossless data compression methods. First, we focus on two classical methods which are the Huffman and ... New LZ4 & Snappy IP Core from CAST Enables Fast Lossless Data Decompression. This first LZ4/Snappy IP core ASIC or FPGA hardware engine offloads a system's CPU ... This paper focuses on the Adaptive Differential Pulse Code Modulation (ADPCM) that encodes a data stream into a constant bit length per data element. Compression can be classified as either lossy or lossless. Lossless compression techniques reconstruct the original data from the compressed file without any. In this work, a run-time lossless compression of single-channel Electrocardiogram (ECG) and Photoplethysmogram (PPG) signals is proposed, maintaining all ... I am an expert in the area of hardware lossless data compression, signal processing with embedded systems (e.g. ARM), video... Keywords: reconfigurable ... Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data. Jan 23, 2025 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics.