9
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Development of an Adaptive Block Filter Structure using Rectangular Transform

&
Pages 109-123 | Received 02 Aug 1996, Published online: 26 Mar 2015

REFERENCES

  • N J Bershad & P L Feintuch, Analysis of the frequency domain adaptive filter, Proc IEEE, vol 67, pp 1658–1659, Dec 1979.
  • M Dentino, J McCool & B Widrow, Adaptive filtering in the frequency domain, Proc IEEE, vol 66, pp 1658–1659, Dec 1978.
  • C F N Cowan & P M Grant, Adaptive Filters, Prentice-Hall, New Jersey, pp 145–152, 1985.
  • J C Ogue, T Satio & Y Hoshiko, A fast convergence frequency domain adaptive filter, IEEE Trans Acoust, Speech, Signal Processing, vol ASSP-31, pp 1312–1314, Oct 1983.
  • G Panda & P M Grant, Rectangular transform-based adaptive filter, Electronics Letters, vol 21, pp 301–303, March 1985.
  • G Panda et al, A transform domain circular convolution algorithm for adaptive filtering, IEEE Trans on Acoust, Speech and Signal Processing, vol 35, no 8, pp 1217–1220, August 1987.
  • ER Ferrara, Fast implementation of LMS adaptive filters, IEEE Trans Acoust Speech, Signal Processing, vol ASSP-28, pp 474–475, Aug 1980.
  • D Mansour & A H Gray, Jr, Unconstrained frequency-domain adaptive filter, IEEE Trans Acoust Speech, Signal Processing, vol ASSP-30, pp 726–734, Oct 1982.
  • G A Clark, S K Mitra & S R Parkar, Block implementation of adaptive digital filters, IEEE Trans, Circuits and Systems, vol CAS-28, pp 584–592, June 1981 and IEEE Trans Acoust Speech, Signal Processing, Joint Special Issue on Adaptive Signal Processing, vol ASSP-29, pp 744–752, June 1981.
  • G A Clark, S R Parker & S K Mitra, A unified approach to time and frequency domain realisation of FIR adaptive digital filters, IEEE Trans Acoust, Speech, Signal Processing, vol ASSP-31, pp 1073–1083.
  • J C Lee, B K Min & M Suk, Realisation of adaptive digital filters using the Fermat number transform, IEEE Trans Acoust, Speech, Signal Processing, vol ASSP-33, no 4, pp 1036–1039, August 1985.
  • B Widrow et al, Stationary and nonstationary learning characteristics of the LMS adaptive filter, Proc IEEE, vol 64, pp 1151–1162.
  • A V Oppenheim & R W Schafer, Digital Signal Processing, Prentice-Hall, Englewood Cliffs, New Jersey, 1975.
  • R C Agarwal & J W Colley, New algorithms for digital convolution, IEEE Trans Acoust, Speech, Signal Processing, vol ASSP-25, pp 392–410, Oct 1977.
  • G Panda, R N Pal & B Chatterjee, Fixed-point error analysis of rectangular transform, Proceedings ICASSP-82, Paris, pp 69–72, 1982.
  • R C Agarwal & C S Burrus, Fast convolution using Fermat number transforms with applications to digital filtering, IEEE Trans Acoust, Speech, Signal Processing, vol ASSP-22, pp 87–97, April 1974.
  • G C Goodwin, & R L Payne, Dynamic system identification: experiment design and data analysis, Academic Press, New York, 1977.
  • R D Gitlin & F R Magee, Jr, Self-orthogonalising adaptive equalisation algorithms, IEEE Trans Communication, vol COM-25, pp 666–672, July 1977.
  • G Panda, B Mulgrew, C F N Cowan & P M Grant, A self orthogonalising efficient block adaptive filter, IEEE Trans Acoust, Speech, Signal Processing, pp 327–340, December 1986.
  • R C Singleton, An algorithm for computing the mixed radix Fourier transform, IEEE Trans, Audio Electroacoust. vol AU-17, pp 93–103, June 1969.
  • ML Honig & D G Messerschmitt, Adaptive filters: Structures, algorithms and applications, Kluwer Academic Publishers, Boston, pp 43–45, 1984

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.