Title : 
Intrinsic Integer-Periodic Functions for Discrete Periodicity Detection
         
        
            Author : 
Soo-Chang Pei ; Keng-Shih Lu
         
        
            Author_Institution : 
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
         
        
        
        
        
        
        
        
            Abstract : 
In this letter we focus on discrete integer-periodic signals, whose periodicity are different from the periodicity of continuous periodic signals in many aspects. We introduce a class of discrete periodic signals called intrinsic integer-periodic function (IIPF). An IIPF contains only a single period in terms of downsampling, which leads to some interesting properties for analyzing periodic components from a discrete signal. We show that one can use Ramanujan sum to decompose discrete periodic signals into IIPF components. Finally, we also propose an integer periodic spectrum rather than frequency spectrum. Our results show that the proposed integer periodic spectrum outperforms the conventional Ramanujan Fourier transform.
         
        
            Keywords : 
signal sampling; IIPF; Ramanujan sum; discrete integer-periodic signals; discrete periodicity detection; integer periodic spectrum; intrinsic integer-periodic functions; Discrete Fourier transforms; Educational institutions; Electronic mail; Estimation; Finite impulse response filters; Integer-periodic signal; Ramanujan sum; periodicity mining; signal decomposition;
         
        
        
            Journal_Title : 
Signal Processing Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LSP.2014.2387430