Monte Carlo limit cycle characterization

Luengo García, David and Osés del Campo, David and Martino, Luca (2014). Monte Carlo limit cycle characterization. In: "39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", 4/05/2014 - 9/05/2014, Florencia (Italia). ISBN 978-1-4799-2893-4. pp. 8043-8047.

Description

Title: Monte Carlo limit cycle characterization
Author/s:
  • Luengo García, David
  • Osés del Campo, David
  • Martino, Luca
Item Type: Presentation at Congress or Conference (Article)
Event Title: 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event Dates: 4/05/2014 - 9/05/2014
Event Location: Florencia (Italia)
Title of Book: 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)
Date: 2014
ISBN: 978-1-4799-2893-4
Subjects:
Freetext Keywords: Monte Carlo methods, IIR filters, finite wordlength effects, limit cycles
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The fixed point implementation of IIR digital filters usually leads to the appearance of zero-input limit cycles, which degrade the performance of the system. In this paper, we develop an efficient Monte Carlo algorithm to detect and characterize limit cycles in fixed-point IIR digital filters. The proposed approach considers filters formulated in the state space and is valid for any fixed point representation and quantization function. Numerical simulations on several high-order filters, where an exhaustive search is unfeasible, show the effectiveness of the proposed approach.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainCOMONSENS (CSD2008-00010)UnspecifiedUnspecifiedUnspecified
Government of SpainDISSECT (TEC2012-38058-C03-01)UnspecifiedUnspecifiedUnspecified
Government of SpainCOMPREHENSION (TEC2012- 38883-C02-01)UnspecifiedUnspecifiedUnspecified

More information

Item ID: 36431
DC Identifier: http://oa.upm.es/36431/
OAI Identifier: oai:oa.upm.es:36431
Official URL: http://www.icassp2014.org/home.html
Deposited by: Memoria Investigacion
Deposited on: 28 Mar 2016 18:38
Last Modified: 28 Mar 2016 18:38
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