Some common examples of data compression algorithms are ZIP, GZIP, and BZIP2 for lossless compression, and JPEG, MP3, and MPEG for lossy compression. Creating an algorithm for data compression ...

Fast In-Memory Data Compression Algorithm (inline C/C++) 480+MB/s compress, 2800+MB/s decompress, ratio% better than LZ4, Snappy, and Zstd@-1 ...

In particular, the reason the algorithm fails is that not enough data repeats to make this compression worthwhile. Even if you use a “real” compression algorithm, they will almost always ...

Abstract: Data compression algorithms are used in process plants to store and transmit data for analysis purposes. Amount of data is increasing in process plants due to advances in automation and ...

Part 2 benchmarks the compression algorithms. It will be published July 20. Analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) are generating a huge and rapidly growing flood ...

Lossless compression algorithms preserve the exact information of the original data set, without any loss or distortion. They work by finding and eliminating redundant or repetitive patterns in ...

Their proposed method, outlined in a paper published in Nature Machine Intelligence, was found to be significantly more powerful than classical data compression algorithms. "In January 2023, when I ...

Abstract: This study focuses on addressing the challenges of renewable energy data management in the energy internet and proposes an optimized design for data compression and transmission optimization ...

Some time ago we wrote here about Samplify Systems, a company producing an unusual and quite efficient suite of data compression algorithms. Today, Samplify will announce a switch in business plans, ...