Continuous-time adaptive filter structure

Laura Ortiz-Balbuena, Alejandro Martinez-Gonzalez, Hector Perez-Meana, Luis Nino de Rivera, Jaime Ramirez-Angulo

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

Adaptive filters have been traditionally developed in a digital environment which involves large number of computations to get the coefficients that make the desired approximation. Most of the time, this calculations required a great capacity machines and that is not practical for some applications like channel equalization in cellular systems. This paper proposes a continuous-time adaptive filter which is based on representing the impulse response of adaptive filter as a linear combination of a set of orthogonal exponentials. An important practical advantage of it is that if a satisfactory representation can be obtained by exponentials and simple filter structures can be synthesized.

Original languageEnglish
Pages (from-to)1061-1064
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
Duration: 9 May 199512 May 1995

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