DocumentCode :
298372
Title :
Digital compressor structure in neural network implementation using complex complementary pass-transistor logic (C2PL)
Author :
Zhang, D. ; Kamel, M. ; Elmasry, M.I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
1
fYear :
1994
fDate :
3-5 Aug 1994
Firstpage :
473
Abstract :
In this paper, a compressor structure based on complex complementary pass-transistor logic (C2PL) is presented. Some types of 3-2 compressors in C2PL are achieved and a number of experiments are conducted to optimize their performance. Two typical compressor building blocks, the 4-2 compressor and 7-3 compressor, are built and their digital neural network (DNN) applications are discussed. Compared with the complementary pass-transistor logic (CDL) designs, our simulations show that the C2PL compressor has the best performances in power, delay and number of transistors
Keywords :
digital arithmetic; integrated logic circuits; logic circuits; neural chips; C2PL; complex complementary pass-transistor logic; digital compressor; digital neural network; simulation; CMOS logic circuits; CMOS technology; Design engineering; Intelligent networks; Logic design; Neural networks; Neurons; Semiconductor device modeling; Switches; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
Type :
conf
DOI :
10.1109/MWSCAS.1994.519282
Filename :
519282
Link To Document :
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