CNN matching problem and applications

Author

Tao, Yang

Author_Institution

Dept. of Autom. Control Eng., Shanghai Univ. of Technol., China

fYear

1994

fDate

13-16 Apr 1994

Firstpage

531

Abstract

Details of cellular neural network (CNN) universal machine and supercomputer have been presented (IEEE Trans. Circuits Syst.-I, vol.40, 1993). When cells in CNN are equipped with local logical memory or local analog memory, CNN can be used for solving matching problems. Matching with a supercomputer speed, CNN provides a rapid approach to search problems. CNN matching can also be used in real-time continuous signal matching, sound ciphering, voice identification, fault filtering and parameter recognition

Keywords

neural nets; parallel processing; pattern recognition; search problems; speech recognition; cellular neural network; fault filtering; local analog memory; local logical memory; parameter recognition; real-time continuous signal matching; search problems; sound ciphering; supercomputer; universal machine; voice identification; Analog memory; Cellular neural networks; Circuit faults; Fault diagnosis; Filtering; Matched filters; Search problems; Signal processing; Supercomputers; Turing machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344857

Filename

344857

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2287596