18 April 2003 CNNs for sinusoidal signal recognition in hearing rehabilitation
Author Affiliations +
Proceedings Volume 5119, Bioengineered and Bioinspired Systems; (2003); doi: 10.1117/12.499582
Event: Microtechnologies for the New Millennium 2003, 2003, Maspalomas, Gran Canaria, Canary Islands, Spain
Abstract
In this paper, a contribution is given to provide a tool to the recognition of sinusoidal signals with a particular reference to the field of pediatric hearing rehabilitation. To this purpose, a synthesis technique previously developed by the authors' is used to design a Cellular Neural Network for an Associative Memory able to compare submitted discrete-time sinusoidal signals with memorized ones. A robustness analysis of the synthesized associative memory is also developed both for noisy inputs and for parameter variations. Simulation results are then reported to illustrate the performances of the designed network.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonarda Carnimeo, Antonio Giaquinto, "CNNs for sinusoidal signal recognition in hearing rehabilitation", Proc. SPIE 5119, Bioengineered and Bioinspired Systems, (18 April 2003); doi: 10.1117/12.499582; https://doi.org/10.1117/12.499582
PROCEEDINGS
12 PAGES


SHARE
KEYWORDS
Content addressable memory

Neural networks

Signal detection

Signal processing

Interference (communication)

Matrices

Network architectures

Back to Top