What is the concept of locality of reference in data?

Jul 16, 2024 ... Lossless compression reduces file size by removing unnecessary metadata without any discernible loss in picture quality. The original data can ... A compression algorithm designed for radio astronomy data is developed in this project. Real data from both ALMA and SKA projects is analyzed. 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 ... I am an expert in the area of hardware lossless data compression, signal processing with embedded systems (e.g. ARM), video... Keywords: reconfigurable ... Nov 20, 2018 ... We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets. NNCP is an experiment to build a practical lossless data compressor with neural networks. The latest version uses a Transformer model. The papers nncp_v2.1.pdf ... Sep 25, 2019 ... In this paper, we propose a Transformer based lossless compression method that match the best compression ratio for text. Our approach is purely ... David Huffman gave a "best possible" algorithm for doing this. The algorithm for generating a Huffman tree is very simple and for the moment we will just ... We have proposed a high performance lossless data compression algorithm for stream-based entropy coding, called ASE coding. It is suitable for hardware ... Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of ...