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For the most part, Wildlife Art is a commercial phenomenon, but it is the dominant art of the West and poses problems of direction and of focus for the museum.
This paper addresses spatial configuration problems of direction, position, and orientation of mechanisms.
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This paper studies the problem of direction finding and polarization estimation of coherent sources using a uniform linear electromagnetic vector-sensor (EmVS) array.
In this paper, the problem of direction of arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar is addressed, and a sparse representation scheme for DOA estimation is proposed.
In this paper, the problem of direction of arrival (DOA) estimation is considered in the case of multiple polarized signals impinging on the conformal electromagnetic vector-sensor array (CVA).
Due to the increase use of wideband signals in the fields of wireless communication system and radar, the problem of direction of arrival (DOA) estimation of wideband signals has been of considerable interest to the array signal processing in recent years.
This paper considers the problem of direction-of-arrival estimation for periodically modulated signals using one uniform linear array of sensors.
In this paper, the problem of direction-of-arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar with gain-phase errors is addressed, by using a sparse DOA estimation algorithm with fourth-order cumulants (FOC) based error matrix estimation.
The PIIFD is a linear combination of constrained gradient orientations from 0 to π, and its rotated version is used to address problems of opposite directions in corresponding points in multimodal images.
We calculated the beak orientation within the horizontal plane from the position data of the base and the tip of the beak to estimate gaze direction (see Discussion for the problem of "gaze direction" in birds).
Despite the worthiness of these issues, this article will focus on the particularly important problem of the direction of time (though as we'll see, many issues go by this name).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com