Critical data length for period estimation

We address the following question in this paper: Given that the period of a discrete time periodic signal belongs to a set Ρ = {Ρ1, Ρ2,…, Ρκ}, what is the minimum duration of the signal necessary to identify its period? It will be shown that the following number of samples is both necessary and sufficient: max Pi + Pj — gcd (Pi, Pj), where gcd is the greatest common divisor, and the maximization is over all pairs Pi, Pj e P. Sufficiency is shown via a constructive proof, leading to a new period estimation algorithm.1

[1]  P. P. Vaidyanathan,et al.  Nested Periodic Matrices and Dictionaries: New Signal Representations for Period Estimation , 2015, IEEE Transactions on Signal Processing.

[2]  P. P. Vaidyanathan,et al.  Ramanujan Sums in the Context of Signal Processing—Part I: Fundamentals , 2014, IEEE Transactions on Signal Processing.

[3]  M. Nakashizuka A Sparse Decomposition for Periodic Signal Mixtures , 2007, 2007 15th International Conference on Digital Signal Processing.

[4]  P. P. Vaidyanathan,et al.  The farey-dictionary for sparse representation of periodic signals , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[5]  P. P. Vaidyanathan Ramanujan Sums in the Context of Signal Processing—Part II: FIR Representations and Applications , 2014, IEEE Transactions on Signal Processing.

[6]  T. Parks,et al.  Maximum likelihood pitch estimation , 1976 .

[7]  Thomas W. Parks,et al.  Orthogonal, exactly periodic subspace decomposition , 2003, IEEE Trans. Signal Process..

[8]  William A. Sethares,et al.  Periodicity transforms , 1999, IEEE Trans. Signal Process..

[9]  P. P. Vaidyanathan,et al.  Properties of Ramanujan filter banks , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[10]  P. P. Vaidyanathan,et al.  Ramanujan filter banks for estimation and tracking of periodicities , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[11]  G. Hardy,et al.  An Introduction to the Theory of Numbers , 1938 .