A Spike-based Adaptive Filter

Author

Xiaoxiang Gong
John G. Harris, Missouri University of Science and TechnologyFollow

Abstract

We propose a spike-based adaptive filter with supervised learning. Unlike standard adaptive filters, here the optimal MSE solution is not unique for the spike-based system identification problem. The simplex method is introduced to select one of the many possible optimal solutions. In simulations, an LMS-based learning procedure is designed and, for faster convergence, we introduce a credit assignment method which penalizes all the weights contributing to the current error signal. Finally, we discuss issues regarding the implementation of the spike-based adaptive filter in an analog VLSI circuit. © 2004 IEEE.

Recommended Citation

X. Gong and J. G. Harris, "A Spike-based Adaptive Filter," 11th IEEE International Conference on Electronics Circuits and Systems Icecs 2004, pp. 322 - 325, article no. TB3.1, Institute of Electrical and Electronics Engineers, Dec 2004.

Department(s)

Electrical and Computer Engineering

Comments

National Science Foundation, Grant 0135946

International Standard Book Number (ISBN)

978-078038715-7

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 2004