System and methods for precursor cancellation of intersymbol...

Pulse or digital communications – Equalizers – Automatic

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C375S231000, C375S233000, C375S348000, C375S346000, C375S347000

Reexamination Certificate

active

06912250

ABSTRACT:
There is disclosed, for use in a receiver receiving from a transmission channel an incoming stream of known symbols and unknown symbols distorted by intersymbol interference (ISI), an apparatus for reducing a precursor ISI signal. The apparatus for reducing the precursor ISI signal comprises: 1) a decision feedback equalizer for receiving the incoming stream of distorted known symbols and distorted unknown symbols and generating a sequence of detected symbols; and 2) a known symbol generator for generating a copy of a first known symbol prior to an estimation of the first known symbol by the decision feedback equalizer, wherein the decision feedback equalizer uses the copy of the first known symbol to reduce a first precursor ISI signal in a second symbol transmitted prior to the first known symbol.

REFERENCES:
patent: 4468786 (1984-08-01), Davis
patent: 4730259 (1988-03-01), Gallant
patent: 4953183 (1990-08-01), Bergmans et al.
patent: 4959870 (1990-09-01), Tachikawa
patent: 5005206 (1991-04-01), Naillon et al.
patent: 5161204 (1992-11-01), Hutcheson et al.
patent: 5181198 (1993-01-01), Lechleider
patent: 5239594 (1993-08-01), Yoda
patent: 5263097 (1993-11-01), Katz et al.
patent: 5274714 (1993-12-01), Hutcheson et al.
patent: 5287275 (1994-02-01), Kimura
patent: 5313534 (1994-05-01), Burel
patent: 5317507 (1994-05-01), Gallant
patent: 5325298 (1994-06-01), Gallant
patent: 5465308 (1995-11-01), Hutcheson et al.
patent: 5468069 (1995-11-01), Prasanna et al.
patent: 5519727 (1996-05-01), Okanoue et al.
patent: 5579471 (1996-11-01), Barber et al.
patent: 5596659 (1997-01-01), Normile et al.
patent: 5598428 (1997-01-01), Sato
patent: 5602589 (1997-02-01), Vishwanath et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5647058 (1997-07-01), Agrawal et al.
patent: 5748674 (1998-05-01), Lim
patent: 5748786 (1998-05-01), Zandi et al.
patent: 5822143 (1998-10-01), Cloke et al.
patent: 5923226 (1999-07-01), Kakura et al.
patent: 6031866 (2000-02-01), Oler et al.
patent: 6144697 (2000-11-01), Gelfand et al.
patent: 6314147 (2001-11-01), Liang et al.
patent: 6400761 (2002-06-01), Smee et al.
patent: 0571919 (1993-12-01), None
patent: 0720334 (1996-07-01), None
Brown, P.F., et al., “A Statistical Approach to Machine Translation”, Computational Linguistics, (Jun. 1990), vol. 16, No. 2, pp. 79-85.
Crouch, C.J., “An Approach to the Automatic Construction of Global Thesauri,” Information Processing & Management, (1990), vol. 26, No. 5, pp. 629-640.
Cutting, D.R., et al., “Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections,” 15thAnn Int'l SIGIR, (1992), pp. 1-12.
Deerwester, et al., “Indexing by Latent Semantic Analysis,” Journal of the American Society for Information Science, (1990) 41(6), pp. 391-407.
Dowe, J., “Content-based Retrieval in Multimedia Imaging,” Proc. SPIE, vol. 1908, Apr. 1993, pp. 164-167.
Egghe, L., “A New Method for Information Retrieval, Based on the Theory of Relative Concentration,” Proceedings of the 13thInternational Conference on Research and Development in Information Retrieval, (Sep. 5-7, 1990), pp. 469-493.
Evans, et al., “Automatic Indexing Using Selective NLP And First-Order Thesauri,” Departments of Philosophy and Computer Science Laboratory for Computational Linguistics, Carnegie Mellon University, Pittsburgh, PA, pp. 624-639.
Gallant, S.I., “A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks,” Neural Computation 3, (1991), pp. 293-309.
Grefenstette, G., “Use of Syntactic Context to Produce Term Association Lists for Text Retrieval,” Computer Science Department, University of Pittsburgh, Pittsburgh, PA, (1992), pp. 89-97.
Kimoto, H., et al., “Construction of a Dynamic Thesaurus and Its Use for Associated Information Retrieval,” Proceedings of the 13thInternational Conference on Research and Development in Information Retrieval, (Sep. 5-7, 1990), pp. 227-241.
Kwok, K.L., “A Neural Network for Probabilistic Information Retrieval,” Proceedings of the Twelfth Annual International ACMSIGIR Conference on Research and Development in Information Retrieval, (Jun. 25-28, 1980), pp. 21-30.
Liddy, et al., “Statistically-Guided Word Sense Disambiguation,” School of Information Studies, Syracuse University, Syracuse, New York, pp. 98-107.
Lin, X., et al., “A Self-Organizing Semantic Map for Information Retrieval”,Proceedings of the 14thInternational ACM/SIGIR Conference on Research and Development in Information Retrieval,(1991), pp. 262-269.
McCune, et al., “Rubric: A System for Rule-Based Information Retrieval,” IEEE Transactions on Software Engineering, (1985), vol. SE-11, No. 9, pp. 939-945.
Myamoto, et al., “Generation of a Pseudothesaurus for Information Retrieval Based on Co-occurrences and Fuzzy Set Operations.” IEEE Transaction on Systems, Man, Cybernetics, (Jan./Feb. 1983), vol. SMC-13, No. 1., p. 62-70.
Niblack, W., “QBIC Project: Querying Images by Content, Using Color, Texture, and Shape,” Proc. SPIE, vol. 1908, Apr. 1993, pp. 173-187.
Peat, et al., “The Limitations of Term Co-Occurrence Data for Query Expansion in Document Retrieval Systems,” Journal of the American Society for Information Science, (1991), 42(5), pp. 378-383.
Qiu, et al., “Concept Based Query Expansion,” Department of Computer Science, Swiss Federal Institute of Technology, Zurich, Switzerland, pp. 160-169.
Ruge, G., “Experiments on Linguistically-Based Term Associations,” Information Processing & Management, (1992), vol. 28, No. 3, pp. 317-332.
Salton, G., et al., “A Vector Space Model For Automatic Indexing”,Comm. Of the ACS,(Nov. 1975), vol. 18, No. 11, pp. 613-620.
Salton, G., et al., “Introduction to Modern Information Retrieval,” McGraw-Hill Book Company, pp. 118-155.
Sekine, S., et al., “Automatic Learning for Semantic Collocation.”
Schultze, H., “Dimensions of Meaning,” Proceedings Supercomputing, (Nov. 16-20, 1992), pp. 787-796.
Sutcliffe, R.F.E., “Distributed Representations in a Text Based Information Retrieval System: a New Way of Using the Vector Space Model”,Proc. Of the ACM/SIGIR Conf.,Chicago, IL, (Oct. 13-16, 1991), pp. 123-132.
Turtle, H., et al., “Inference Networks for Document Retrieval”, Proceedings of the 13thInternational Conference on Research and Development in Information Retrieval, (Sep. 5-7, 1990), pp. 1-25.
Van Rijsbergen, C.J., “A Theoretical Basis For the Use of Co-Occurrence Data in Informational Retrieval”,J of Documentation,(Jun. 1977), vol. 33, No. 2, pp. 106-119.
Voorhees, E.M., et al., “Vector Expansion in a Large Collection,” Siemens Corporate Research, Inc., Princeton, New Jersey.
Wilks, Y., et al., “Providing Machine Tractable Dictionary Tools,” Computer Research Laboratory, New Mexico State University, Las Cruces, New Mexico, pp. 98-154.
Wong, S.K.M., et al., “On Modelling of Information Retrieval Concepts in Vector Spaces,” ACM Transactions on Database Systems, (Jun. 1987), vol. 12, No. 2, pp. 299-321.

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

System and methods for precursor cancellation of intersymbol... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and methods for precursor cancellation of intersymbol..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and methods for precursor cancellation of intersymbol... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3494199

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