Title
Multitransform Applications For Representing 3-D Spatial And Spatio Temporal Signals
Abstract
A novel technique, for the representation of three-dimensional signals employing constrained sets of basis functions of two or more transforms, is presented. The signal is split into subsignals, each of which is represented by the dominant components of a transform, whose basis functions closely approximate the subsignal. The residual error, which is the difference between the original and the reconstructed signal is properly formulated. An adaptive algorithm is developed to minimize this error and to maximize the Signal to Noise ratio(SNR) of the reconstructed signal for a fixed number of transform components. Simulations are presented to represent spatio-temporal signals as well as 3-D spatial signals by superimposing subsets from the DCT and Walsh transforms. It is shown that the proposed technique yields superior results in comparison with the single transform approach. An efficient possible coding strategy is also proposed for the transform coefficients.
Publication Date
1-1-1995
Publication Title
Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume
2
Number of Pages
1353-1357
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ACSSC.1995.540919
Copyright Status
Unknown
Socpus ID
21644434102 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/21644434102
STARS Citation
Ramaswamy, Arun and Mikhael, Wasfy B., "Multitransform Applications For Representing 3-D Spatial And Spatio Temporal Signals" (1995). Scopus Export 1990s. 1776.
https://stars.library.ucf.edu/scopus1990/1776