Article

A Compact Digital Gamma-tone Filter Processor

Details

Citation

Rojo-Hernandez A, Sanchez-Rivera G, Avalos-Ochoa G, Perez-Meana H & Smith LS (2016) A Compact Digital Gamma-tone Filter Processor. Microprocessors and Microsystems, 45 (Part A), pp. 216-225. https://doi.org/10.1016/j.micpro.2016.05.010

Abstract
Area consumption is one of the most important design constrains in the development of compact digital systems. Several authors have proposed making compact Cochlear Implant processors using Gamma-tone filter banks. These model aspects of the cochlea spectral filtering. A good area-efficient design of the Gamma-tone Filter Bank could reduce the amount of circuitry allowing patients to wear these cochlear implants more easily. In consequence, many authors have reduced the area by using the minimum number of registers when implementing this type of filter. However, critical paths limit their performance. Here a compact Gamma-tone Filter processor, formulated using the impulse invariant transformation together with a normalization method, is presented. The normalization method in the model guarantees the same precision for any filter order. In addition, area resources are kept low due to the implementation of a single Second Order Section (SOS) IIR stage for processing several SOS IIR stages and several channels at different times. Results show that the combination of the properties of the model and the implementation techniques generate a processor with high processing speed, expending less resources than reported in the literature.

Keywords
Auditory models; Cochlear implant processor; Gamma-tone Filter

Notes
Collaboration with Sanchez-Rivera, related to, but not funded by, EPSRC grant EP/G062609/1

Journal
Microprocessors and Microsystems: Volume 45, Issue Part A

StatusPublished
Publication date31/08/2016
Publication date online18/05/2016
Date accepted by journal17/05/2016
URLhttp://hdl.handle.net/1893/23219
PublisherElsevier
ISSN0141-9331

People (1)

Professor Leslie Smith

Professor Leslie Smith

Emeritus Professor, Computing Science

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