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Massachusetts Institute of Technology

Analog adaptive nonlinear filtering and spectral analysis for low-power audio applications

Abstract

dc:description.abstract

Filters are one of the basic building blocks of analog circuits. For linear operation, the power consumption is proportional to the dynamic range for a given topology. I have explored techniques to lower the power consumption below this limit by extending operation beyond the linear range. First, I built a power-efficient linear gm-C filter that demonstrates that dynamic range can be shifted to higher linear ranges using capacitive attenuation. In a standard gm-C filter, the minimum noise is limited by the discrete charge on the electrons and holes stored on the capacitor. This noise can only be reduced by collecting more charge on a larger capacitor, consuming more power. The maximum signal is determined by the linear range of the transconductor. This work showed that both the noise and the maximum signal can be amplified by including a capacitive attenuator in the feedback path of filter. In order to increase the dynamic range, I explored the non-linear operation of the filters, including jump resonance. Unlike harmonic distortion and gain compression which slowly increase with the input amplitude, jump resonance is not present in a linear system, but develops in the presence of strong nonlinearity.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Salthouse, Christopher Donovan, 1978-
Advisor dc:contributor.advisor
  • Rahul Sarpeshkar.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/38310

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Salthouse, Christopher Donovan, 1978-. Analog adaptive nonlinear filtering and spectral analysis for low-power audio applications. Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/38310