Title :
CNN matching problem and applications
Author_Institution :
Dept. of Autom. Control Eng., Shanghai Univ. of Technol., China
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;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344857
