Analysis of multicomponent AM-FM signals using FB-DESA method
Digital Signal Processing
Adaptive algorithm for chirp-rate estimation
EURASIP Journal on Advances in Signal Processing
An instantaneous amplitude model based speech coder
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Speech recovery based on the linear canonical transform
Speech Communication
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This paper considers the problem of estimating signals consisting of one or more components of the form a(t)ejφ(t), where the amplitude and phase functions are represented by a linear parametric model. The Cramer-Rao bound (CRB) on the accuracy of estimating the phase and amplitude parameters is derived. By analyzing the CRB for the single-component case, if is shown that the estimation of the amplitude and the phase are decoupled. Numerical evaluation of the CRB provides further insight into the dependence of estimation accuracy on signal-to-noise ratio (SNR) and the frequency separation of the signal components. A maximum likelihood algorithm for estimating the phase and amplitude parameters is also presented. Its performance is illustrated by Monte-Carlo simulations, and its statistical efficiency is verified