DocumentCode
926627
Title
Recursive realization of finite impulse filters using finite field arithmetic
Author
Murakami, Hideo ; Reed, Irving S.
Volume
23
Issue
2
fYear
1977
fDate
3/1/1977 12:00:00 AM
Firstpage
232
Lastpage
242
Abstract
Recursive filter design techniques are described and developed for finite impulse filters using finite field arithmetic. The finite fields considered have the form
, the Galois field of
elements, and are analogous to the field of complex numbers when
is a prime such that
is not a quadratic residue. These filters can be designed to yield either a desired finite impulse or finite frequency response function. This filtering technique has other possible applications, including the encoding or decoding of information and signal design. Infinite signal trains can be decomposed naturally into orthogonal sequences which may be useful in the encoding and decoding process and may provide another approach to convolutional coding. Since the recursive filters developed here do not have the accumulation of round-off or truncation error that one might expect in recursive computations, such filters are noise-free transducers in the sense of Shannon.
, the Galois field of
elements, and are analogous to the field of complex numbers when
is a prime such that
is not a quadratic residue. These filters can be designed to yield either a desired finite impulse or finite frequency response function. This filtering technique has other possible applications, including the encoding or decoding of information and signal design. Infinite signal trains can be decomposed naturally into orthogonal sequences which may be useful in the encoding and decoding process and may provide another approach to convolutional coding. Since the recursive filters developed here do not have the accumulation of round-off or truncation error that one might expect in recursive computations, such filters are noise-free transducers in the sense of Shannon.Keywords
Arithmetic; FIR (finite-duration impulse-response) digital filters; Galois fields; Recursive digital filter stability; Arithmetic; Convolution; Convolutional codes; Decoding; Frequency response; Galois fields; Information filtering; Information filters; Signal design; Signal processing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1977.1055697
Filename
1055697
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