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An algorithm for the design of optimal finite wordlength FIR filters
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Kodek, Dušan
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https://www.sciencedirect.com/science/article/pii/S1051200423003706
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Abstract
In practical FIR digital filter applications it is often necessary to represent the filter coefficients with a finite number of bits. The finite wordlength coefficient restriction reduces the filter quality and increases the filter deviation. This increase can be reduced substantially if the optimal finite wordlength coefficients are used. Computing these coefficients is more difficult and can be slow. It was shown before that the computation time can be significantly reduced with the help of a lower bound on the deviation increase. Derivation of a new algorithm that uses a much better lower bound is the purpose of this paper. We consider the general case of a length N filter with a discrete set of allowable real coefficients and demonstrate the effectiveness of the new algorithm on a set of filter design cases. The results show that this algorithm reduces the computation times up to 3 times when compared with the previously best results.
Language:
English
Keywords:
FIR digital filters
,
finite wordlength effects
,
quantization
,
minimax approximation
,
combinatorial optimization
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FRI - Faculty of Computer and Information Science
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
7 str.
Numbering:
Vol. 144, art. 104275
PID:
20.500.12556/RUL-159056
UDC:
004
ISSN on article:
1095-4333
DOI:
10.1016/j.dsp.2023.104275
COBISS.SI-ID:
201461763
Publication date in RUL:
28.06.2024
Views:
392
Downloads:
69
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Record is a part of a journal
Title:
Digital signal processing
Shortened title:
Digit. signal process.
Publisher:
Elsevier
ISSN:
1051-2004
COBISS.SI-ID:
1461525
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Secondary language
Language:
Slovenian
Keywords:
FIR digitalni filtri
,
vpliv končne dolžine besede
,
kvantizacija
,
minimax aproksimacija
,
kombinatorična optimizacija
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