INVESTIGADORES
JULIAN Pedro Marcelo
artículos
Título:
A scalable and programmable simplicial CNN digital pixel processor architecture
Autor/es:
P. S. MANDOLESI, P. JULIAN, A. G. ANDREOU
Revista:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
Editorial:
IEEE
Referencias:
Lugar: NY, EEUU; Año: 2004 vol. 51 p. 988 - 996
ISSN:
1057-7122
Resumen:
We propose a programmable architecture for a single instruction multiple data image processor that has its foundation on the mathematical framework of a simplicial cellular neural networks. We develop instruction primitives for basic image processing operations and show examples of processing binary and gray scale images. Fabricated in deep submicron CMOS technologies, the complexity of the digital circuits and wiring in each cell is commensurate with pixel level processing.
