How is the performance of lossless compression algorithms evaluated?

This paper provides the study of various lossless data compression techniques and compares their performance and efficiency using time and space complexity. Jan 23, 2025 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. Jan 11, 2024 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. Jun 1, 2024 ... In this example we will perform LZW Encoding on a data string for Lossless compression. This Solved Example shows easy steps to perform LZW ... This paper focuses on the Adaptive Differential Pulse Code Modulation (ADPCM) that encodes a data stream into a constant bit length per data element. 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 ... Jun 17, 2011 ... Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but can rarely do much better ... We have proposed a high performance lossless data compression algorithm for stream-based entropy coding, called ASE coding. It is suitable for hardware ... ... data exchanged between wireless sensor nodes ... compression algorithm in comparison with other recently proposed lossless compression algorithms for WSNs. Description. Data compression using neural networks. DeepZip: Lossless Data Compression using Recurrent Neural Networks. Requirements. GPU, nvidia-docker (or ...