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Sampling Theorem Associated With the Discrete Cosine Transform
Kovacevic, J.   Puschel, M.  
Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA;

This paper appears in: Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Publication Date: 14-19 May 2006
Volume: 3,  On page(s): III-III
Location: Toulouse,
ISSN: 1520-6149
ISBN: 1-4244-0469-X
INSPEC Accession Number: 9142872
Digital Object Identifier: 10.1109/ICASSP.2006.1660664
Current Version Published: 2006-07-24

Abstract
One way of deriving the discrete Fourier transform (DFT) is by equispaced sampling of periodic signals or signals on a circle. In this paper, we show that an analogous derivation can be used to obtain the DCT (type 2). To achieve this goal, we replace the circle by a line graph with symmetric boundary conditions, and define signal space, filter space, and filtering operation appropriately. Further, we derive the corresponding sampling theorem including the proper notions of "bandlimited" and "sine function." The results show that, in a rigorous sense, the DCT is closely related to the DFT, and can be introduced without concepts from statistical signal processing as is the current practice

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