http://iet.metastore.ingenta.com
1887

Synthesis of efficient low-order FIR filters from primitive sections

Synthesis of efficient low-order FIR filters from primitive sections

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IEE Proceedings G (Circuits, Devices and Systems) — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A synthesis procedure for low-order FIR filters based on the cascading of computationally simple (and in some cases very computationally efficient) primitive sections is described. An integer programming approach effectively yields an optimal factorisation of a low-order transfer function H(z) that satisfies the filter specification and, hence, yields also an optimal cascade of available primitives. If the primitive cascade approach is used, synthesised filters are considerably more computationallly efficient than optimal direct form realisations. The design process is noniterative, completely automatic and particularly suitable for high sample rate applications.

References

    1. 1)
      • J.H. McClellan , T.W. Parks . A unified approach to the design of optimum FIR linear-phase digital filters. IEEE Trans. , 6 , 697 - 701
    2. 2)
      • J.W. Adams , A.N. Willson . A new approach to FIR digital filters with fewer multipliers and reduced sensitivity. IEEE Trans. , 5 , 277 - 283
    3. 3)
      • J.W. Adams , A.N. Willson . Some efficient digital prefilter structures. IEEE Trans. , 3 , 260 - 265
    4. 4)
      • Y. Neuvo , D. Cheng-Yu , S.K. Mitra . Interpolated finite impulse response filters. IEEE Trans. , 3 , 563 - 570
    5. 5)
      • T. Saramaki , Y. Neuvo , S.K. Mitra . Design of computationally efficient interpolated FIR filters. IEEE Trans. , 1 , 70 - 87
    6. 6)
      • Agarwal, R.C., Sudhaker, R.: `Multiplier-less design of FIR filters', ICASSP'83, 1983, p. 209–212.
    7. 7)
      • D.E. Goldberg . (1989) , Genetic algorithms in search, optimization and machine learning.
    8. 8)
      • Suckley, D.: `The genetic algorithm in the design of FIR filters', , MSc. thesis, Polytechnic South West.
    9. 9)
      • Robert S. Garfinkel , George L. Nemhouser . , Integer programming.
    10. 10)
      • D.M. Kodek . Design of optimal finite wordlength FIR digital filters using integer programming techniques. IEEE Trans. , 3 , 304 - 307
    11. 11)
      • P. Siohan , A. Benslimane . Finite precision design of optimal linear phase 2-D FIR digital filters. IEEE Trans. , 1 , 11 - 21
    12. 12)
      • , NAG Fortran library.
    13. 13)
      • H.A. Taha . (1987) , Operations research: an introduction.
    14. 14)
      • M. Annegarn , A. Nillesen , J. Raven . Digital signal processing in television receivers. Philips Tech. Rev. , 183 - 200
http://iet.metastore.ingenta.com/content/journals/10.1049/ip-g-2.1990.0058
Loading

Related content

content/journals/10.1049/ip-g-2.1990.0058
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address