Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Feuer Arie"'
Multiple-input multiple-output (MIMO) radar is one of the leading depth sensing modalities. However, the usage of multiple receive channels lead to relative high costs and prevent the penetration of MIMOs in many areas such as the automotive industry
Externí odkaz:
http://arxiv.org/abs/2110.03218
Autor:
Peretz, Nissim, Feuer, Arie
Deep learning methods can be found in many medical imaging applications. Recently, those methods were applied directly to the RF ultrasound multi-channel data to enhance the quality of the reconstructed images. In this paper, we apply a deep neural n
Externí odkaz:
http://arxiv.org/abs/2011.10321
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007, Iss 1, p 024106 (2007)
Typical sensors (CCD or CMOS) used in home digital camcorders have the potential of generating high definition (HD) video sequences. However, the data read out rate is a bottleneck which, invariably, forces significant quality deterioration in record
Externí odkaz:
https://doaj.org/article/eda13649584a45fdba9e5c499928a588
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2006, Iss 1, p 091604 (2006)
We present a set of functions in and show it to be a (tight) generalized frame (as presented by G. Kaiser (1994)). The analysis side of the frame operation is called the continuous unified transform. We show that some of the well-known transforms (su
Externí odkaz:
https://doaj.org/article/417e15ed07f8432b884bd311823cfeee
This work proposes a component based model for the raw ultrasound signals acquired by the transducer elements. Based on this approach, before undergoing the standard digital processing chain, every sampled raw signal is first decomposed into a smooth
Externí odkaz:
http://arxiv.org/abs/1603.00273
This paper considers the problem of estimating the delays of a weighted superposition of pulses, called stream of pulses, in a noisy environment. We show that the delays can be estimated using a tractable convex optimization problem with a localizati
Externí odkaz:
http://arxiv.org/abs/1507.07256
The problem of resolving the fine details of a signal from its coarse scale measurements or, as it is commonly referred to in the literature, the super-resolution problem arises naturally in engineering and physics in a variety of settings. We sugges
Externí odkaz:
http://arxiv.org/abs/1501.01825
In this work we consider the problem of recovering non-uniform splines from their projection onto spaces of algebraic polynomials. We show that under a certain Chebyshev-type separation condition on its knots, a spline whose inner-products with a pol
Externí odkaz:
http://arxiv.org/abs/1412.6254
In this work we consider the problem of recovering an ensemble of Diracs on the sphere from its projection onto spaces of spherical harmonics. We show that under an appropriate separation condition on the unknown locations of the Diracs, the ensemble
Externí odkaz:
http://arxiv.org/abs/1412.3284
This paper considers the problem of recovering an ensemble of Diracs on a sphere from its low resolution measurements. The Diracs can be located at any location on the sphere, not necessarily on a grid. We show that under a separation condition, one
Externí odkaz:
http://arxiv.org/abs/1412.3282