Locally Recurrent Networks With Multiple Time-scales
Abstract
We introduce a new generalized feed-forward structure that provides for multiple time scales. The gamma, Laguerre and other locally recurrent feed-forward structures perform poorly in cases where widely varying time constants are required. By exponentially varying the time-constant along the delay line, a single delay line is able to represent signals that include various time scales. We demonstrate both discrete- and continuous-time versions of this multiple time-scale structure which we call the multi-scale gamma filter. The multi-scale gamma has a very natural implementation in sub-threshold CMOS and measured impulse responses from a continuous-time analog VLSI chip are shown.
Recommended Citation
J. K. Juan et al., "Locally Recurrent Networks With Multiple Time-scales," Neural Networks for Signal Processing Proceedings of the IEEE Workshop, pp. 645 - 653, Institute of Electrical and Electronics Engineers, Dec 1997.
Department(s)
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 1997
