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

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ior undergraduate and graduate students specializing in mathThis book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recover

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Fundamental Frequency Model and Its Generalization,efore, 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.

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Multidimensional Models,requency models are natural generalizations of the 1-D sinusoidal frequency model, and these models have various applications in Multidimensional Signal Processing. We provide several estimators of the unknown parameters of these models, and discuss their theoretical properties.

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Chirp Signal Model,l-life signals or images quite efficiently. It is observed that several sophisticated statistical and computational techniques are needed to analyze these models and in developing estimation procedures. In this chapter a comprehensive review of different models have been presented, and several open problems are discussed for future research.

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