Design and Realization of Variable IIR Digital Filters as a Cascade of Identical Subfilters
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概要
- 論文の詳細を見る
A new approach to design variable IIR digital filters by using a cascade of N identical individual filters of any order n is proposed in this paper. First, the approximation method for lowpass filter specifications is outlined, then the general limitations of the new method are investigated and a compact formula is derived. Next, the limitations for the main canonic approximations (Butterworth, Chebyshev and Elliptic) are investigated and compared and convenient expressions for design and evaluation are obtained. New first-and second-order filter sections, permitting very easy tuning of the cutoff frequency by recalculating and reprogramming of a single multiplier coefficient value, are developed and the design and tuning strategies for highpass, bandpass and bandstop filters are proposed. Finally design examples are given and the sound superiority of the new method compared to other known is demonstrated experimentally.
- 社団法人電子情報通信学会の論文
- 2001-08-01
著者
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Stoyanov G
The Authors Are With The Department Of Telecommunications Technical University Of Sofia
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Kawamata Masayuki
The Authors Are With The Graduate School Of Engineering Tohoku University
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STOYANOV Georgi
The authors are with the Department of Telecommunications, Technical University of Sofia
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UZUNOV Ivan
The authors are with the Department of Telecommunications, Technical University of Sofia
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Uzunov Ivan
The Authors Are With The Department Of Telecommunications Technical University Of Sofia
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Kawamata Masayuki
The Authors Are With The Department Of Electronic Engineering Graduate School Of Engineering Tohoku
関連論文
- Design and Realization of Variable IIR Digital Filters as a Cascade of Identical Subfilters
- Arbitrary Multiband IIR Filter Approximation Method Suitable for Design of Parallel Allpass Structures(Special Section of Papers Selected from ITC-CSCC'97)
- Distributed Evolutionary Digital Filters for IIR Adaptive Digital Filters
- Design of Variable Digital Filters Based on State-Space Realizations
- A Measure of Coefficient Quantization Errors for Linear Discrete-Time State-Space Systems