DocumentCode :
2655409
Title :
Design of multi-valued double-edge-triggered JK flip-flop based on neuron MOS transistor
Author :
Zhang, Yuejun ; Wang, Pengjun
Author_Institution :
Inst. of Circuits & Syst., Ningbo Univ., Ningbo, China
fYear :
2009
fDate :
20-23 Oct. 2009
Firstpage :
58
Lastpage :
61
Abstract :
The neuron MOS transistor (neuMOS) is a new device with multi-input gates and one floating gate. It is capable of obtaining a weighted sum calculation of multi-input gates signals and then operating the threshold based on the result of summation, thereby simulating the function of biological neurons. The neuron MOS transistor´ characteristics about multiple input gates and the floating gate capacitance coupling effect can be used to solve the output multi-valued problem. Through studying the design principles of multi-valued logic circuit and the redundant suppression method, this paper presents a design scheme of multi-valued double-edge-triggered JK flip-flop. Compared with the conventional multi-valued JK flip-flop, this circuit has the characteristic of reduction the redundant leap of clock, low power consumption and fast speed etc. Furthermore, the proposed scheme in this paper can be further apply to design higher radix multi-valued circuits. Finally, the above designed circuit is verified by PSPICE simulation.
Keywords :
MOSFET; SPICE; flip-flops; logic circuits; logic design; PSPICE simulation; floating gate capacitance coupling effect; multiinput gates; multivalued double-edge-triggered JK flip-flop neuron MOS transistor; multivalued logic circuit; redundant suppression; Biological system modeling; Capacitance; Circuit simulation; Clocks; Coupling circuits; Energy consumption; Flip-flops; MOSFETs; Multivalued logic; Neurons; Neuron MOS transistor; circuit design; double-edgetriggered JK flip-flop; multi-valued logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ASIC, 2009. ASICON '09. IEEE 8th International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-1-4244-3868-6
Electronic_ISBN :
978-1-4244-3870-9
Type :
conf
DOI :
10.1109/ASICON.2009.5351606
Filename :
5351606
Link To Document :
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