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Tests For the Parameters of Chirp Signal Model
IEEE Transactions on Signal Processing, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Subhra Sankar Dhar +2 more
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2020
Chirp signals have played an important role in the statistical signal processing literature. An extensive amount of work has been done in analyzing different 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.
Swagata Nandi, Debasis Kundu
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Chirp signals have played an important role in the statistical signal processing literature. An extensive amount of work has been done in analyzing different 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.
Swagata Nandi, Debasis Kundu
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Parameter estimation for superimposed chirp signals
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992Parameter estimation for superimposed chirp signals is a difficult signal processing problem that shows up in many applications. Cramer-Rao lower bounds are derived here for the error variance in the parameter estimates. The approach reported uses global Hankel rank reduction to estimate instantaneous frequencies followed by total least squares fitting
R. M. Liang, K. S. Arun
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Chirp signal correlation in the wavelet domain
IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998From classical image processing it is known that correlations can be computed either in the spatial domain or in the Fourier transform domain. The advent of efficient wavelet transform techniques prompted the authors to investigate the chances for such computations using wavelet transformed data.
Schwarz, Gottfried, Datcu, Mihai
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DOA estimation for broadband chirp signals
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004We derive two new methods, based on the ambiguity function, for estimating the direction-of-arrival (DOA) of broadband chirp signals. These new methods make use of the time-frequency structure of the chirp signal and can be applied to any aperture array and any chirp rate. As long as the signals are separable in the ambiguity function plane, the number
Ning Ma, Joo Thiam Goh
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On estimating random amplitude chirp signals
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999This paper considers the problem of estimating the parameters of chirp signals with randomly time-varying amplitude. Two methods for solving this problem are presented. First, a nonlinear least-squares approach (NLS) is proposed. It is shown that by minimizing the NLS criterion with respect to all samples of the time-varying amplitude, the problem ...
Olivier Besson +2 more
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Hierarchical Bayesian classification of chirp signals
IEEE International Conference on Acoustics Speech and Signal Processing, 2002This paper addresses the problem of classifying chirp signals using hierarchical Bayesian learning combined with Markov Chain Monte Carlo (MCMC) methods. Bayesian learning consists of estimating the distribution of observed data conditional upon each class from a set of training samples.
Christian Doncarli +2 more
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On the Utility of Chirp Modulation for Digital Signaling
IEEE Transactions on Communications, 1973The issue of signal selection in binary data transmission is presented. The question of the relative utility of linear frequency sweeping (LFS or chirp), compared to PSK and FSK, in terms of error probability and spectrum usage, is discussed. The transmission media considered are the coherent, partially coherent, Rayleigh, and Rician channel models ...
Albert J. Berni, William D. Gregg
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Optimal detection and separation of chirp signals
International Conference on Acoustics, Speech, and Signal Processing, 2002The finite Zak transform is introduced into the problem of signal detection in a noisy environment. The main advantage of the Zak transform over the Wigner distribution approach is the linearity. Thus there are no cross terms in a multicomponent signal environment. The theory has been applied to separate chirp signals. >
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Parameter estimation in chirped signals
Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2003The discrete Fourier transform (DFT) is used almost routinely to analyze sampled time series. A careful formulation of any problem to be solved and a meticulous application of probability theory ought to generate the tools to be used for analyzing the problem. The tools thus arrived at may or may not be closely related to the DFT.
C.R. Smith +2 more
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