Abstract
A novel CMOS four-quadrant analog-digital multiplier for implementing a programmable Cellular Neural Network (CNN) is presented. The circuit, which can be fabricated in a standard CMOS process, performs the four-quadrant weighting of interconnect signals. Using this multiplier a programmable CNN neuron can be implemented with little expense. Both simulation and test results are given for the circuit fabricated in a standard, mixed signal, 0.18μm, CMOS process. According to this design, one input is analog voltage and the other input is digital signal. The linearity deviation is less than 1% in the dynamic range (1.0V,2.2V) centered on Vref=1.6V. The power supply voltage is 3.3V.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wang, P., Zhang, X., Jin, D. (2006). A Novel Multiplier for Achieving the Programmability of Cellular Neural Network. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4234. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893295_132
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DOI: https://doi.org/10.1007/11893295_132
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46484-6
Online ISBN: 978-3-540-46485-3
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