Design of predictive IIR filters via feedback extension of FIR forward predictors

被引：11

作者：

Ovaska, SJ ^{[1
]}

Vainio, O

Laakso, TI

机构：

[1] Helsinki Univ Technol, Inst Intelligent Power Elect, FIN-02150 Espoo, Finland

[2] Tampere Univ Technol, Signal Proc Lab, FIN-33101 Tampere, Finland

[3] Helsinki Univ Technol, Lab Telecommun Technol, FIN-02150 Espoo, Finland

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 1997年 / 46卷 / 05期

关键词：

delay effects; digital filters; optimization methods; polynomial approximation; prediction methods;

D O I：

10.1109/19.676741

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Finite impulse response (FIR) predictors for polynomial signals and sinusoids are easy to design because of the available closed-form design formulae, On the other hand, those FIR predictors have two major drawbacks: the passband gain peak is usually greater than +3 dB, and a long FIR structure is needed to attain high attenuation in the stopband, Both of these characteristics cause severe problems, particularly in control instrumentation when the predictor operates inside a closed control loop, In this paper, we present a novel feedback extension scheme for FIR forward predictors. This extension makes it possible to easily design infinite impulse response (IIR) predictors with low passband ripple and high stopband attenuation, The new approach is illustrated with design examples.

引用

页码：1196 / 1201

页数：6

共 50 条

[1] Design of predictive IIR filters via feedback extension of FIR forward predictors
Helsinki Univ of Technology, Espoo, Finland
IEEE Trans Instrum Meas, 5 (1196-1201):
[2] Design of predictive IIR filters via feedback extension of FIR forward predictors
Ovaska, SJ
Vainio, O
Laakso, TI
38TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 370 - 375
[3] Transformations for FIR and IIR Filters' Design
Stavrou, V. N.
Tsoulos, I. G.
Mastorakis, Nikos E.
SYMMETRY-BASEL, 2021, 13 (04):
[4] Design of predictive IIR filters via balanced model truncation
Rezki, M
Kale, I
IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, : 1549 - 1553
[5] Predictive FIR/IIR filters for narrow-band waveforms
Handel, P
SIGNAL ANALYSIS & PREDICTION I, 1997, : 171 - 174
[6] On the Design of Highly Accurate and Efficient IIR and FIR Filters
Beylkin, Gregory
Lewis, Ryan D.
Monzon, Lucas
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2012, 60 (08) : 4045 - 4054
[7] ITERATIVE DESIGN OF lp FIR AND IIR DIGITAL FILTERS
Vargas, Ricardo A.
Burrus, C. Sidney
2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS, 2009, : 468 - 473
[8] Unified design algorithm for complex FIR and IIR filters
Lertniphonphun, W
McClellan, JH
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 3801 - 3804
[9] A UNIFIED APPROACH TO THE DESIGN OF IIR AND FIR NOTCH FILTERS
Jiang, Yi
Shen, Cong
Dai, Jianxin
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 4791 - 4795
[10] AN EFFICIENT WINDOW FUNCTION FOR DESIGN OF FIR FILTERS USING IIR FILTERS
Shayesteh, Mahrokh G.
Mottaghi-Kashtiban, Mahdi
EUROCON 2009: INTERNATIONAL IEEE CONFERENCE DEVOTED TO THE 150 ANNIVERSARY OF ALEXANDER S. POPOV, VOLS 1- 4, PROCEEDINGS, 2009, : 1443 - 1447

← 1 2 3 4 5 →