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Efficient folded VLSI architectures for linear prediction error filters

Producción científica: Conference contributionrevisión exhaustiva

4 Citas (Scopus)

Resumen

In this paper we propose two efficient low-area, low-power folded VLSI architectures for linear prediction error filter. One of them is based on the split-Levinson-Durbin and requires half computational complexity of an architecture based on the Levinson-Durbin algorithm. The other one is based on the Schur algorithm. Using folding method, the number of multipliers and adders is minimized. In addition, by modifications in data scheduling, the number of required multiplexers are also decreased. Comparison with previous architectures demonstrates the efficiency of the proposed architectures with respect to hardware and computational complexity.

Idioma originalEnglish
Título de la publicación alojadaGLSVLSI'12 - Proceedings of the Great Lakes Symposium on VLSI 2012
Páginas357-362
Número de páginas6
DOI
EstadoPublished - 2012
Evento22nd Great Lakes Symposium on VLSI, GLSVLSI'2012 - Salt Lake City, UT, United States
Duración: may 3 2012may 4 2012

Serie de la publicación

NombreProceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

Conference

Conference22nd Great Lakes Symposium on VLSI, GLSVLSI'2012
País/TerritorioUnited States
CiudadSalt Lake City, UT
Período5/3/125/4/12

ASJC Scopus subject areas

  • General Engineering

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