On Fast Algorithm for Computing Even-Length DCT
Yuriy A. Reznik

TL;DR
This paper analyzes a recursive algorithm for computing even-length DCTs, demonstrating its efficiency and potential advantages over existing prime factor-based methods for certain lengths.
Contribution
It shows that C.W. Kok's recursive DCT algorithm has optimal multiplicative complexity for small m and introduces a scaled form with lower complexity for some lengths.
Findings
Same multiplicative complexity as prime factor decomposition for m ≤ 2
Simple conversion to scaled form
Lower multiplicative complexity for some lengths
Abstract
We study recursive algorithm for computing DCT of lengths (, is odd) due to C.W.Kok. We show that this algorithm has the same multiplicative complexity as theoretically achievable by the prime factor decomposition, when . We also show that C.W.Kok's factorization allows a simple conversion to a scaled form. We analyze complexity of such a scaled factorization, and show that for some lengths it achieves lower multiplicative complexity than one of known prime factor-based scaled transforms.
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Taxonomy
TopicsDigital Filter Design and Implementation · Image and Signal Denoising Methods · Mathematical Analysis and Transform Methods
