DocumentCode
1829015
Title
VLSI design of a neural network based image processor
Author
Fang, Xuegeng ; Starzyk, Janusz
Author_Institution
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
fYear
1994
fDate
20-22 Mar 1994
Firstpage
12
Lastpage
15
Abstract
The design of a neural network based image processor is presented. The processor can be programmed for different image processing applications. Mixed-mode signals are used to enhance the performance of the processor. High throughput with small die area is achieved by careful design of the architecture and the multiplying D/A converter
Keywords
VLSI; analogue processing circuits; digital signal processing chips; digital-analogue conversion; image processing equipment; mixed analogue-digital integrated circuits; multiplying circuits; neural chips; VLSI design; architecture; die area; image processing applications; mixed-mode signals; multiplying D/A converter; neural network based image processor; performance; throughput; Artificial neural networks; Hardware; Image processing; Neural networks; Pixel; Process design; Shift registers; Signal processing; Throughput; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location
Athens, OH
ISSN
0094-2898
Print_ISBN
0-8186-5320-5
Type
conf
DOI
10.1109/SSST.1994.287919
Filename
287919
Link To Document