A Novel Framework for MA Lattice Digital Filters: Circuit and State–Space Realization

This paper presents a moving average (MA) filter implementation that is used for a finite impulse response (FIR) filter, with minimum or maximum phase. The delay operators of the filter are interchanged, instead of the conventional serial setting. The proposed circuit structure is distinguished by the fact that it uses the fewest number of time delays possible. As a result, the dimension of its state–space vector in its state–space model is minimal. Step–by–step examples, are provided that demonstrate the unique characteristic of this MA lattice digital filter in comparison with the well–known MA lattice conventional filter.

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Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122127
Primary Topic
Neural Networks and Applications
Type
article
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article

A Novel Framework for MA Lattice Digital Filters: Circuit and State–Space Realization

Constantine Coutras, George E. Antoniou
Neural Networks and Applications
article

A Novel Framework for MA Lattice Digital Filters: Circuit and State–Space Realization

Constantine Coutras, George E. Antoniou
article en

Abstract

This paper presents a moving average (MA) filter implementation that is used for a finite impulse response (FIR) filter, with minimum or maximum phase. The delay operators of the filter are interchanged, instead of the conventional serial setting. The proposed circuit structure is distinguished by the fact that it uses the fewest number of time delays possible. As a result, the dimension of its state–space vector in its state–space model is minimal. Step–by–step examples, are provided that demonstrate the unique characteristic of this MA lattice digital filter in comparison with the well–known MA lattice conventional filter.

Montclair State University (US)
Openalex Percentile: Top 72%
Neural Networks and Applications
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