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Acoustic Vector Sensors (AVS) measure acoustic pressure as well as the acoustic particle velocity to estimate the acoustic intensity. The acoustic intensity, which is a vector quantity, represents the magnitude and direction of the active or propagating part of an acoustic field thus indicating the Direction of Arrival (DOA) of a received signal. This paper concerns with the feasibility of DOA estimation...
In this paper, we consider the generation of inverse synthetic aperture radar (ISAR) image of a target using polynomial phase signal (PPS) modeling of time histories. For a target under complex motion, the time histories in the backscatter signal with time-varying Doppler frequency shifts are modeled as multicomponent PPS. We propose the convolution of scaled high-order instantaneous moments to enable...
In this paper the performance modeling of amorphous silicon, HIT and multi-crystalline silicon PV technology modules has been done by using contour map technique. An estimation of energy based on PR is done by using two environmental parameters air-mass and clearness index. The results are compared with the performance modeling based on PR as a function of irradiance and module temperature. It is...
Acoustic Vector Sensors are underwater sensors that measure acoustic pressure as well as the acoustic particle velocity to estimate the acoustic intensity. The acoustic intensity, which is a vector quantity, represents the magnitude and direction of the active or propagating part of an acoustic field thus indicating the DOA(Direction of arrival) of a received signal. This paper dwells on an Iterative...
Acoustic Vector Sensors measure acoustic pressure as well as the acoustic particle velocity to estimate the acoustic intensity. The acoustic intensity, which is a vector quantity, represents the magnitude and direction of the active or propagating part of an acoustic field thus indicating the DOA (Direction of arrival) of a received signal. Cumulant based beamforming and DOA estimation methods suitable...
Inter-sensor Time Delay Estimation (TDE) can be obtained using Generalized Cross-correlator (GCC), Phase Transform (PHAT) and Hilbert Transform of the cross-correlator. The accuracy of the estimate is affected by signal reflections generated due to the multipath structure of the channel. In this paper, a novel cepstrum based algorithm is proposed for estimating the Time Difference of Arrival (TDOA)...
Performance estimation of an application on any processor is becoming a essential task, specially when the processor is used for high performance computing. Our work here presents a model to estimate performance of various applications on a modern GPU. Recently, GPUs are getting popular in the area of high performance computing along with original application domain of graphics. We have chosen FERMI...
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