Computer Science – Data Structures and Algorithms
Scientific paper
2012-04-05
Computer Science
Data Structures and Algorithms
Scientific paper
We study whether, when restricted to using polylogarithmic memory and polylogarithmic passes, we can achieve qualitatively better data compression with multiple read/write streams than we can with only one. We first show how we can achieve universal compression using only one pass over one stream. We then show that one stream is not sufficient for us to achieve good grammar-based compression. Finally, we show that two streams are necessary and sufficient for us to achieve entropy-only bounds.
No associations
LandOfFree
On the Value of Multiple Read/Write Streams for Data Compression does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the Value of Multiple Read/Write Streams for Data Compression, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Value of Multiple Read/Write Streams for Data Compression will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-212843