Title :
Legendre Ramanujan Sums transform
Author :
Soo-Chang Pei;Chia-Chang Wen
Author_Institution :
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C
Abstract :
In this paper, Legendre Ramanujan Sums transform(LRST) is proposed and derived by applying DFT to the complete generalized Legendre sequence (CGLS) matrices. The original matrix based Ramanujan Sums transform (RST) by truncating the Ramanujan Sums series is non-orthogonal and lack of fast algorithm, the proposed LRST has orthogonal property and O(Nlog2V) complexity fast algorithm. The LRST transform matrix is a sparse matrix and can be calculated with only additions and multiplications with more improvement in efficiency. It is suitable for image compression and transform coding. Meanwhile the LRST is useful to analyze to periodic signal especially for already known periodic sequences.
Keywords :
"Europe","Signal processing","Conferences"
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
DOI :
10.1109/EUSIPCO.2015.7362519