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Generalized ambiguity functions

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Two generalizations of the ambiguity functions are presented. The first corresponds to the class of ambiguity functions which are bilinear in the signal. The second corresponding to the positive time-frequency distribution functions.
L. Cohen, T. Posch
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Spread ambiguity functions

IEEE Transactions on Information Theory, 1988
A generalized spread ambiguity function is defined, and its relationship to P.M. Woodward's (1953) ambiguity function for different models is developed. A derivation and discussion of the properties of the spread ambiguity function are presented. It is shown that smoothing the ambiguity function by the scattering function of the channel does not alter ...
S.S. Soliman, R.A. Scholtz
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Ambiguity function simulator

Proceedings of the IEEE, 1975
It is shown that the magnitude of the ambiguity function can be easily displayed on a spectrum analyzer. The technique used employs delay lines operating only on the modulation waveform. Examples of measured ambiguity functions are given for FM sine waves. These results are shown to be in agreement with theory.
M.C. Bartlett, L.W. Couch, R.C. Johnson
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On Relationship Between Ambiguity Function and Linear Canonical Ambiguity Function

2021
The linear canonical ambiguity function is a time frequency analysis method which combines the classical ambiguity function with the linear canonical transform. In the present work, we explore a direct relation between the linear canonical ambiguity function and the classical ambiguity function.
Mawardi Bahri   +1 more
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Thresholding the ambiguity function

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
In this paper we propose a new method for estimating the ambiguity function (AF) of a random process with limited spreading support. The observed process is modelled as the aggregation of a non-stationary signal of interest and noise. As the AF has limited spreading, thresholding is a suitable estimation procedure. Some key stochastic properties of the
Heidi Hindberg   +2 more
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Ambiguity through confidence functions

Journal of Mathematical Economics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chateauneuf, Alain, Faro, José Heleno
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Cross-ambiguity function

1998
Suppose B is a subgroup of a finite abelian group A, Δ0 is the critical sampling subgroup $${{\Delta }_{0}} = B \times {{B}_{*}},$$ and Δ is a subgroup of A × A*. Unless otherwise specified, F denotes the Zak transform of f over B.
Richard Tolimieri, Myoung An
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MIMO Radar Ambiguity Functions

IEEE Journal of Selected Topics in Signal Processing, 2006
Multiple-input multiple-output (MIMO) radar has been shown to provide enhanced performance in theory and in practice. MIMO radars are equipped with the ability to freely choose their transmitted waveforms at each aperture. In conventional radar systems Woodward's ambiguity function is used to characterize waveform resolution performance.
Geoffrey San Antonio   +2 more
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Ambiguity function for sonar

[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers, 2003
The authors present a new definition of ambiguity and illustrate its application to the study of passive localization of sources in deep ocean situations. The tool developed allows the study of the impact of all relevant parameters, including those relative to the physical medium as well as those pertinent to the instrumentation and signals involved ...
J.M. Moura, M.J. Rendas
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Wigner Distribution Function/Ambiguity Function Processor

SPIE Proceedings, 1988
The Wigner Distribution Function and Ambiguity Function are both two-dimensional time-frequency representations of a one dimensional signal. In spite of the similarity of the functional definition, however, the information is encoded in the two functions very differently.
Alan A. Rakes   +3 more
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