Title :
A detailed analysis of different CNN implementations for a real-time image processing system
Author :
Wiehler, K. ; Perezowsky, M. ; Grigat, R.-R.
Author_Institution :
Image Process. Syst., Tech. Univ. Hamburg-Harburg, Germany
Abstract :
A detailed analysis for different implementations of a real-time CNN signal processing systems is presented. The algorithm for signal reconstruction has been realized both in hardware (analog VLSI multi-FPGA system) and in software (TriMedia VLIW Intel Pentium processor). All implementations are fully functional and embedded in a system environment. Due to the high computational complexity which is needed to solve the nonlinear CNN-equations and the requirements which are different for each application, an efficient implementation has to be tailor-made. In this paper we analyze different realized implementations regarding prototypical pre-requisites
Keywords :
CMOS analogue integrated circuits; VLSI; cellular neural nets; image processing; neural chips; real-time systems; CMOS analogue IC; VLSI; cellular neural network; computational complexity; image processing system; real-time systems; Cellular neural networks; Hardware; Real time systems; Signal analysis; Signal processing algorithms; Signal reconstruction; Software algorithms; Software systems; VLIW; Very large scale integration;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.877354
