Joint Spatial and Spectral Localization of OFDM Sources with Noncoherent Arrays

Author(s):  
Mort Naraghi-Pour ◽  
Takeshi Ikuma
1999 ◽  
Vol 141 (2) ◽  
pp. 197-206 ◽  
Author(s):  
Rolf Pohmann ◽  
Eberhard Rommel ◽  
Markus von Kienlin

2012 ◽  
Vol 140 (2) ◽  
pp. 617-636 ◽  
Author(s):  
Mark Buehner

In this study, several approaches for estimating background-error covariances from an ensemble of error realizations are examined, including a new spatial/spectral localization approach. The new approach shares aspects of both the spatial localization and wavelet-diagonal approaches. This approach also enables the use of different spatial localization functions for the covariances associated with each of a set of overlapping horizontal wavenumber bands. The use of such scale-dependent spatial localization (more severe localization for small horizontal scales) is shown to reduce the error in spatial correlation estimates. A comparison of spatial localization, spatial/spectral localization, and wavelet-diagonal approaches shows that the approach resulting in the lowest estimation error depends on the ensemble size. For a relatively large ensemble (48 members), the spatial/spectral localization approach produces the lowest error. When using a much smaller ensemble (12 members), the wavelet-diagonal approach results in the lowest error. Qualitatively, the horizontal correlation functions resulting from spatial/spectral localization appear smoother and less noisy than those from spatial localization, but preserve more of the heterogeneous and anisotropic nature of the raw sample correlations than the wavelet-diagonal approach. The new spatial/spectral localization approach is compared with spatial localization in a set of 1-month three-dimensional variational data assimilation (3D-Var) experiments using a full set of real atmospheric observations. Preliminary results show that spatial/spectral localization provides a nearly similar forecast quality, and in some regions improved forecast quality, as spatial localization while using an ensemble of half the size (48 vs 96 members).


1982 ◽  
Vol 85 (3) ◽  
pp. 251-260
Author(s):  
S.T.M. Ackermans ◽  
A.M.H. Gerards

1991 ◽  
Vol 94 (2) ◽  
pp. 268-287 ◽  
Author(s):  
Markus von Kienlin ◽  
Raymond Mejia

2018 ◽  
Vol 356 (6) ◽  
pp. 686-691
Author(s):  
Denis I. Borisov ◽  
Matthias Täufer ◽  
Ivan Veselić

1988 ◽  
Vol 8 (3) ◽  
pp. 314-322 ◽  
Author(s):  
Xiaoping Hu ◽  
David N. Levin ◽  
Paul C. Lauterbur ◽  
Thomas Spraggins

2007 ◽  
Vol 98 (3) ◽  
pp. 1763-1774 ◽  
Author(s):  
Jennifer K. Bizley ◽  
Fernando R. Nodal ◽  
Carl H. Parsons ◽  
Andrew J. King

Although the auditory cortex is known to be essential for normal sound localization in the horizontal plane, its contribution to vertical localization has not so far been examined. In this study, we measured the acuity with which ferrets could discriminate between two speakers in the midsagittal plane before and after silencing activity bilaterally in the primary auditory cortex (A1). This was achieved either by subdural placement of Elvax implants containing the GABAA receptor agonist muscimol or by making aspiration lesions after determining the approximate location of A1 electrophysiologically. Psychometric functions and minimum audible angles were measured in the upper hemifield for 500-, 200-, and 40-ms noise bursts. Muscimol-Elvax inactivation of A1 produced a small but significant deficit in the animals’ ability to localize brief (40-ms) sounds, which was reversed after removal of the Elvax implants. A similar deficit in vertical localization was observed after bilateral aspiration lesions of A1, whereas performance at longer sound durations was unaffected. Another group of ferrets received larger lesions, encompassing both primary and nonprimary auditory cortical areas, and showed a greater deficit with performance being impaired for long- and short-duration (500- and 40-ms, respectively) stimuli. These data suggest that the integrity of the auditory cortex is required to successfully utilize spectral localization cues, which are thought to provide the basis for vertical localization, and that multiple cortical fields, including A1, contribute to this task.


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