DocumentCode
2828316
Title
Fast Algorithm for Arbitrary Length Discrete Cosine Transform
Author
Huang, Cheng ; Zhu, Youlian
Author_Institution
Coll. of Electron. Inf. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
390
Lastpage
393
Abstract
Based on discrete Hartley transform algorithm, the proposed fast algorithm is implemented by the parallel Hopfield neural network which can shorten the computation length of discrete cosine transform to achieve high computation speed. The computation complexity of the proposed method is reduced comparing with the others. According to the proposed algorithm which can implement the arbitrary length of discrete cosine transform, the N-point discrete cosine transform requires 2(N-1) real multiplications and 3N-2 real additions. Thus, the algorithm has a better application prospect in signal processing.
Keywords
Hopfield neural nets; computational complexity; discrete Hartley transforms; discrete cosine transforms; mathematics computing; N-point discrete cosine transform; arbitrary length discrete cosine transform; computation complexity; discrete Hartley transform; fast algorithm; parallel Hopfield neural network; signal processing; Computer networks; Concurrent computing; Data engineering; Discrete cosine transforms; Discrete transforms; Educational institutions; Hopfield neural networks; Linear programming; Neural networks; Signal processing algorithms; discrete Hartley transform (DHT); discrete cosine transform (DCT); neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.640
Filename
5363978
Link To Document