Design and implementation of a negative feedback oscillator circuit based on a Cellular Neural Network with an Opposite Sign Template
Abstract
In this paper explicit amplitude and frequency expressions for a Cellular Neural Network with an Opposite-Sign Template (CNN-OST) under oscillation condition are derived and a novel inductorless oscillator circuit with negative feedbacks based on this simple structure is designed and implemented. The system is capable of generating quasi-sine signals with tuneable amplitude and frequency which can't be provided at the same time in the classical oscillator circuits.
Source
WSEAS Transactions on Circuits and SystemsIssue
1Volume
9Pages
60-69URI
https://hdl.handle.net/20.500.12469/1587https://www.semanticscholar.org/paper/Design-and-implementation-of-a-negative-feedback-on-Tander-Ozmen/988a37fb977c36e980de50dd3945fbfa08c16900
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Keywords
Cellular Neural NetworksCircuit design
Curve and surface fitting
Operational amplifiers
Oscillator circuits
Quasi-sine signals