Fundamental Frequency Model and Its Generalization

Swagata Nandi () and Debasis Kundu ()
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Swagata Nandi: Indian Statistical Institute, Theoretical Statistics and Mathematics Unit
Debasis Kundu: Indian Institute of Technology Kanpur, Department of Mathematics and Statistics

Chapter Chapter 6 in Statistical Signal Processing, 2020, pp 115-141 from Springer

Abstract: Abstract In this chapter we have discussed the fundamental frequency model (FFM) and the generalized fundamental frequency model (GFFM). Both these models are special cases of the sinusoidal frequency model. But many real-life phenomena can be analyzed using such special models. In estimating unknown parameters of multiple sinusoidal model, there are several algorithms available, but the computational loads of these algorithms are usually quite high. Therefore, the FFM and the GFFM are very convenient approximations where inherent frequencies are harmonics of a fundamental frequency. We have discussed different developments of these models both from the classical and Bayesian points of view.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-6280-8_6

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DOI: 10.1007/978-981-15-6280-8_6

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