In time series analysis, F-transforms facilitate the separation of trend-cycle components from seasonal variations and noise, thereby enhancing the clarity of underlying data behaviours.

Most other compression companies can’t touch data that’s in use, and are limited to compressing backups. The acquisition is expected to finalize in the third quarter of 2010.

The most obvious answer is to use some type of compression. If you have the time to run a compressor on the data and then decompress it all inside your window, then that’s probably the answer ...

Time-series databases that optimize the collection and analysis of time-series data open up the opportunity to provide business models that adjust and avoid one-size-fits-all standardization.

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research.. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

Conventional data compression technologies compress and store data in finite chunks. For this purpose, they require bulky memory and processors that increase the size of the compressor and limit ...

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 ...

Get your data from everywhere you can, anytime you can, they said, so you did. Now, you have a series of data points through time (a time series) in your hands, and you don't know what to do with it?