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TimeFrequency Energy Distributions Meet
, 2010
"... HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte p ..."
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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
TimeFrequency Energy Distributions Meet Compressed Sensing
, 2010
"... Abstract—In the case of multicomponent signals with amplitude and frequency modulations, the idealized representation which consists of weighted trajectories on the timefrequency (TF) plane, is intrinsically sparse. Recent advances in optimal recovery from sparsity constraints thus suggest to revis ..."
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Cited by 30 (0 self)
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Abstract—In the case of multicomponent signals with amplitude and frequency modulations, the idealized representation which consists of weighted trajectories on the timefrequency (TF) plane, is intrinsically sparse. Recent advances in optimal recovery from sparsity constraints thus suggest
Displacementcovariant timefrequency energy distributions
 in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process.—ICASSP
, 1995
"... Abstract’We present a theory of quadratic timefrequency (TF) energy distributions that satisfy a covariance property and generalized marginal properties. The theory coincides with the characteristic function method of Cohen and Earaniuk in the special case of ‘‘conjugate operators.” 1 ..."
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Cited by 10 (1 self)
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Abstract’We present a theory of quadratic timefrequency (TF) energy distributions that satisfy a covariance property and generalized marginal properties. The theory coincides with the characteristic function method of Cohen and Earaniuk in the special case of ‘‘conjugate operators.” 1
Prior structures for timefrequency energy distributions
 in Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA ’07
, 2007
"... We introduce a framework for probabilistic modelling of timefrequency energy distributions based on correlated Gamma and inverse Gamma random variables. One advantage of the approach is that the resulting class of models are conjugate which makes inference easier. Moreover, both positivity and addit ..."
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Cited by 9 (3 self)
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We introduce a framework for probabilistic modelling of timefrequency energy distributions based on correlated Gamma and inverse Gamma random variables. One advantage of the approach is that the resulting class of models are conjugate which makes inference easier. Moreover, both positivity
On Separability, Positivity and Minimum Uncertainty in TimeFrequency Energy Distributions
 IEEE Trans. Signal Proc
, 1998
"... Gaussian signals play a very special role in classical timefrequency analysis because they are solutions of apparently unrelated problems such as minimum uncertainty or positivity and separability of WignerVille distributions. We investigate here some of the logical connections which exist between ..."
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Cited by 10 (2 self)
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Gaussian signals play a very special role in classical timefrequency analysis because they are solutions of apparently unrelated problems such as minimum uncertainty or positivity and separability of WignerVille distributions. We investigate here some of the logical connections which exist
Figure 5(a): timefrequency energy distribution of the m = 76 coherent structures of the noisy speech signal shown in Fig.3(a).
, 1000
"... Figure 5(b): timefrequency energy distribution of the m = 76 coherent structures of the noisy speech signal shown in Fig. 3. (b): signal reconstructed from the 76 coherent structures shown in (a). The white noise has been removed. ..."
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Figure 5(b): timefrequency energy distribution of the m = 76 coherent structures of the noisy speech signal shown in Fig. 3. (b): signal reconstructed from the 76 coherent structures shown in (a). The white noise has been removed.
Matching pursuits with timefrequency dictionaries
 IEEE Transactions on Signal Processing
, 1993
"... AbstractWe introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order to best match the signal structures. Matching pursuits are general procedures t ..."
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Cited by 1671 (13 self)
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to compute adaptive signal representations. With a dictionary of Gabor functions a matching pursuit defines an adaptive timefrequency transform. We derive a signal energy distribution in the timefrequency plane, which does not include interference terms, unlike Wigner and Cohen class distributions. A
Minimum energy mobile wireless networks
 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
, 1999
"... We describe a distributed positionbased network protocol optimized for minimum energy consumption in mobile wireless networks that support peertopeer communications. Given any number of randomly deployed nodes over an area, we illustrate that a simple local optimization scheme executed at each n ..."
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Cited by 749 (0 self)
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We describe a distributed positionbased network protocol optimized for minimum energy consumption in mobile wireless networks that support peertopeer communications. Given any number of randomly deployed nodes over an area, we illustrate that a simple local optimization scheme executed at each
HEED: A Hybrid, EnergyEfficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
 IEEE TRANS. MOBILE COMPUTING
, 2004
"... Topology control in a sensor network balances load on sensor nodes and increases network scalability and lifetime. Clustering sensor nodes is an effective topology control approach. In this paper, we propose a novel distributed clustering approach for longlived ad hoc sensor networks. Our proposed ..."
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Cited by 590 (1 self)
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proposed approach does not make any assumptions about the presence of infrastructure or about node capabilities, other than the availability of multiple power levels in sensor nodes. We present a protocol, HEED (Hybrid EnergyEfficient Distributed clustering), that periodically selects cluster heads
Spatiotemporal energy models for the Perception of Motion
 J. OPT. SOC. AM. A
, 1985
"... A motion sequence may be represented as a single pattern in xyt space; a velocity of motion corresponds to a threedimensional orientation in this space. Motion sinformation can be extracted by a system that responds to the oriented spatiotemporal energy. We discuss a class of models for human mot ..."
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Cited by 904 (9 self)
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motion mechanisms in which the first stage consists of linear filters that are oriented in spacetime and tuned in spatial frequency. The outputs of quadrature pairs of such filters are squared and summed to give a measure of motion energy. These responses are then fed into an opponent stage. Energy
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