What are the implications of the "no free lunch" theorem?

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 ... May 10, 1994 ... We describe a block-sorting, lossless data compression algorithm, and our imple- mentation of that algorithm. We compare the performance of ... We have proposed a high performance lossless data compression algorithm for stream-based entropy coding, called ASE coding. It is suitable for hardware ... Jan 22, 2019 ... Lossless data compression is the size reduction of a file, such that a decompression function can restore the original file exactly with no loss of data. May 24, 2011 ... My opinion will be, first decide whether you want to do a lossless compression or a lossy compression, then pick an algorithm to implement. Jan 17, 2025 ... Sharp bounds are derived for the best achievable compression rate of memoryless sources, when the excess-rate probability is required to be exponentially small ... This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data ... May 12, 2022 ... The compression algorithm and its implementation were designed to be device-agnostic. These developments can be used to create a variety of ... Nov 20, 2018 ... We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets.