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This paper\r introduces a first generation IIR digital filters that unifies the\r classical digital Butterworth filters and the well known\r maximally at FIR filters. In the design of IIR filters, a\r commonly used approach is called the bilinear transformation.\r This design begins with the transfer function of an analog filter,\r and then performs a mapping from the s-domain to the zdomain.\r New closed form expressions are provided, and a\r straight forward design technique is described. The first\r generation IIR digital filters have more zeros than poles (away\r from the origin) and their (monotonic) square magnitude\r frequency responses are maximally flat at w = 0 and at w = π.\r Another result of the paper is that, for a specified cut-off\r frequency and a specified number of zeros, there is only one\r valid way in which to split the zeros between z = -1 and the\r pass band. This technique also permits continuous variation of\r the cut-off frequency. 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  1. University of Yangon
  2. Department of Physics

Analysis of First Generalized IIR Digital Butterworth Filter Design Using MATLAB

http://hdl.handle.net/20.500.12678/0000002023
http://hdl.handle.net/20.500.12678/0000002023
a17eef46-a3f2-49d8-938a-a08a0e7af22e
39ae7e2c-f109-473b-ad73-acf061be5795
None
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9.Analysis 9.Analysis of First Generalized by Moe Moe Myint.pdf (2428 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Analysis of First Generalized IIR Digital Butterworth Filter Design Using MATLAB
Language en
Publication date 2010
Authors
Moe Mon Myint
Hla Myo Tun
Zaw Min Naing
Description
Filtering involves the manipulation of the spectrum
of a signal by passing or blocking certain portions of the
spectrum, depending on the frequency of those portions.
Filters are designed according to what kind of manipulation of
the signal is required for a particular application. This paper
introduces a first generation IIR digital filters that unifies the
classical digital Butterworth filters and the well known
maximally at FIR filters. In the design of IIR filters, a
commonly used approach is called the bilinear transformation.
This design begins with the transfer function of an analog filter,
and then performs a mapping from the s-domain to the zdomain.
New closed form expressions are provided, and a
straight forward design technique is described. The first
generation IIR digital filters have more zeros than poles (away
from the origin) and their (monotonic) square magnitude
frequency responses are maximally flat at w = 0 and at w = π.
Another result of the paper is that, for a specified cut-off
frequency and a specified number of zeros, there is only one
valid way in which to split the zeros between z = -1 and the
pass band. This technique also permits continuous variation of
the cut-off frequency. IIR filters having more zeros than poles
are of interest, because often, to obtain a good trade-off
between performance and implementation complexity, just a
few poles are best. The results have been demonstrated with
the aid of a MATLAB script. The design process of a digital
filter is long and tedious if done by hand.
Keywords
IIR
Identifier http://uyr.uy.edu.mm/handle/123456789/79
Journal articles
Conference papaers
Books/reports/chapters
Thesis/dissertations
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