Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Tipo de participación
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960 |
Lugar del congreso
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Florencia (Italia) |
Revisores
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Si |
ISBN o ISSN
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978-1-4799-2893-4 |
DOI
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10.1109/ICASSP.2014.6855167 |
Fecha inicio congreso
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04/05/2014 |
Fecha fin congreso
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09/05/2014 |
Desde la página
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8043 |
Hasta la página
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8047 |
Título de las actas
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Proceedings of the 39th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |