Discrete Walsh-Hadamard Transform Vector Quantization for motion-compensated frame difference signal coding

Ali N. Akansu, Manjunatha S. Kadur

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Theoretical performance analysis and test simulations showed that the DWHT (discrete Walsh-Hadamard transform) is as good as the DCT (discrete cosine transform) for the encoding of low-correlation MCFD (motion-compensated frame difference) signals. However, the straightforward algorithm for the DWHT makes it a better choice than the DCT. The transform vector quantization (TRVQ) technique is employed for low bit rates. It is also observed that the robustness of the VQ (vector quantization) technique for the MCFD signals is much better than that of the VQ of the still frame images.

Original languageEnglish (US)
Pages (from-to)1862-1863
Number of pages2
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - 1989
Event1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland
Duration: May 23 1989May 26 1989

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Discrete Walsh-Hadamard Transform Vector Quantization for motion-compensated frame difference signal coding'. Together they form a unique fingerprint.

Cite this