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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.640