DocumentCode
1113477
Title
Discrete Cosine Transform
Author
Ahmed, N. ; Natarajan, T. ; Rao, K.R.
Author_Institution
Departments of Electrical Engineering and Computer Science, Kansas State University
Issue
1
fYear
1974
Firstpage
90
Lastpage
93
Abstract
A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering. Its performance is compared with that of a class of orthogonal transforms and is found to compare closely to that of the Karhunen-Loève transform, which is known to be optimal. The performances of the Karhunen-Loève and discrete cosine transforms are also found to compare closely with respect to the rate-distortion criterion.
Keywords
Discrete cosine transform, discrete Fourier transform, feature selection, Haar transform, Karhunen-Loève transform, rate distortion, Walsh-Hadamard transform, Wiener vector and scalar filtering.; Discrete cosine transform, discrete Fourier transform, feature selection, Haar transform, Karhunen-Loève transform, rate distortion, Walsh-Hadamard transform, Wiener vector and scalar filtering.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1974.223784
Filename
1672377
Link To Document