Parsing information onto packets using context-insensitive parsi

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

341 51, G06F 1300

Patent

active

054146500

ABSTRACT:
Extremely localized parse rules, dependent only upon either intrinsic characteristics of each packet or upon transitions in characteristics between consecutive pairs or triples of packets, give a determinable fragmentation of an information stream which is relatively insensitive to imbedded error, insertion or deletion. Iterative application of such parsing on the stream of parsed fragments produces a corresponding hierarchy of levels of fragments of increasing length. The highest level fragments are matched to a dictionary or history, tokenized and presented for output to form a compressed data stream.

REFERENCES:
patent: 4876541 (1989-10-01), Storer
patent: 5138673 (1992-08-01), Yoshida et al.
patent: 5151697 (1992-09-01), Burton
patent: 5239298 (1993-08-01), Wei
patent: 5259990 (1993-10-01), Yoshida et al.
patent: 5361353 (1994-11-01), Carr et al.
Peter K. Pearson, "Fast Hashing of Variable-Length Text Strings," Communications of the ACM, Jun. 1990, vol. 33, No. 6, pp. 677-680.
Yokoo, Hidetoshi, Improved Variations Relating the Ziv-Lempel and Welch-Type Algorithms For Sequential Data compression, IEEE 1992.
Ferro, Manuel V., "Efficient Ineremental Parsing For Context-Free Languages", 1994 IEEE.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Parsing information onto packets using context-insensitive parsi does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Parsing information onto packets using context-insensitive parsi, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parsing information onto packets using context-insensitive parsi will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1710939

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.