Titlebook: Statistical Signal Processing; Frequency Estimation Swagata Nandi,Debasis Kundu Book 2020Latest edition Springer Nature Singapore Pte Ltd.

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Fundamental Frequency Model and Its Generalization,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. Ther

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Real Data Example Using Sinusoidal-Like Models,l, the fundamental frequency model, and the generalized fundamental frequency model. We have explicitly shown how different methods can be implemented in practice and for a given data set how to choose the . fitted model.

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Chirp Signal Model,fferent one dimensional chirp, two dimensional chirp and some related signal processing models. These models have been used in analyzing different real-life signals or images quite efficiently. It is observed that several sophisticated statistical and computational techniques are needed to analyze t

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Related Models, very useful model in explaining periodic or nearly periodical data. There are several other models which are practically some form of the multiple sinusoidal model, but also exploit some extra features in the data. In most of such cases, the parameters satisfy some additional conditions other than