Abstract | ||
---|---|---|
A new method for the design of a linear-phase infinite-impulse-response (IIR) filter is presented. It involves designing a finite-impulse-response (FIR) filter satisfying the given frequency response specifications and subsequently obtaining a significantly lower order IIR filter using model reduction based on impulse-response gramians. The general outline of the method and a brief overview of the existing linear-phase FIR filter design and model-reduction techniques are presented. The impulse-response gramian and the model-reduction algorithm used are presented. The method is illustrated by design examples and is compared with other methods for the design of linear-phase IIR filters using equalizers |
Year | DOI | Venue |
---|---|---|
1992 | 10.1109/78.124948 | Signal Processing, IEEE Transactions |
Keywords | Field | DocType |
digital filters,filtering and prediction theory,frequency response,frequency response,impulse-response gramians,infinite-impulse-response,linear-phase FIR filter,linear-phase IIR filters,model reduction | Digital filter,Control theory,Prototype filter,Infinite impulse response,2D Filters,Low-pass filter,Adaptive filter,Finite impulse response,Mathematics,Filter design | Journal |
Volume | Issue | ISSN |
40 | 2 | 1053-587X |
Citations | PageRank | References |
23 | 5.13 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
V. Sreeram | 1 | 60 | 11.31 |
Agathoklis, P. | 2 | 27 | 7.31 |