Multicomponent chirp signals analysis using product cubic phase function
Digital Signal Processing
IEEE Transactions on Signal Processing - Part II
Time-frequency distributions with complex argument
IEEE Transactions on Signal Processing
Model selection of random amplitude polynomial phase signals
IEEE Transactions on Signal Processing
Generalized Representation of Phase Derivatives for Regular Signals
IEEE Transactions on Signal Processing
Extending the Performance of the Cubic Phase Function Algorithm
IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling
IEEE Transactions on Signal Processing
Generalized High-Order Phase Function for Parameter Estimation of Polynomial Phase Signal
IEEE Transactions on Signal Processing - Part I
A fast algorithm for estimating the parameters of a quadratic FM signal
IEEE Transactions on Signal Processing
Subspace-Based Algorithm for Parameter Estimation of Polynomial Phase Signals
IEEE Transactions on Signal Processing - Part I
Parameter estimation of phase-modulated signals using Bayesian unwrapping
IEEE Transactions on Signal Processing
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This paper introduces a new class of multilinear functions which can be used for analyzing a signal with time-varying frequency. The new class subsumes a number of existing functions, including the higher order ambiguity functions (HAFs), the polynomial Wigner-Ville distributions (PWVDs), and the higher order phase (HP) functions. As well as establishing a link between these existing functions, the new class provides a formalism which allows for the creation of useful new multilinear functions. A number of new functions are derived from the class.