Results 31 to 40 of about 261,559 (305)
Design of Acoustic Signal for Positioning of Smart Devices
Sensors, 2023 This paper addresses the limitations of using smartphones in innovative localization systems based on audio signal processing, particularly in the frequency range of 18–22 kHz, due to the lack of technical specifications and noise characterization.
Veronika Hromadova +2 more
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Phased Fractional Lower-Order Cyclic Moment Processed in Compressive Signal Processing
IEEE Access, 2019 In signal processing research, cyclostationarity and fractional lower-order statistics (FLOS) are two important solutions to non-stationary signals and non-Gaussian noises, respectively.
Tao Liu +4 more
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Pulse-Doppler Signal Processing with Quadrature Compressive Sampling [PDF]
CoRR, 2013 Quadrature compressive sampling (QuadCS) is a newly introduced sub-Nyquist sampling for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. For applications to pulse-Doppler radars, the QuadCS outputs can be arranged in 2-dimensional data similar to that by Nyquist sampling.
Chao Liu +3 more
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Imaging Method for Co-prime-sampling Space-borne SAR Based on 2D Sparse-signal Reconstruction
Leida xuebao, 2020 Co-prime-sampling space-borne Synthetic Aperture Radar (SAR) replaces the traditional uniform sampling by performing co-prime sampling in azimuth, which effectively alleviates the conflict between spatial resolution and effective swath width, while also
ZHAO Wanwan +3 more
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Compressed sensing applied to modeshapes reconstruction [PDF]
, 2011 Modal analysis classicaly used signals that respect the Shannon/Nyquist theory. Compressive sampling (or Compressed Sampling, CS) is a recent development in digital signal processing that offers the potential of high resolution capture of physical ...
Dimitri Bettebghor +3 more
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TERRESTRIAL LASER SCANNER DATA DENOISING BY DICTIONARY LEARNING OF SPARSE CODING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Point cloud processing is basically a signal processing issue. The huge amount of data which are collected with Terrestrial Laser Scanners or photogrammetry techniques faces the classical questions linked with signal or image processing.
E. Smigiel, E. Alby, P. Grussenmeyer
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Near-Optimal Graph Signal Sampling by Pareto Optimization
Sensors, 2021 In this paper, we focus on the bandlimited graph signal sampling problem. To sample graph signals, we need to find small-sized subset of nodes with the minimal optimal reconstruction error.
Dongqi Luo +4 more
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A Signal Processing View on Packet Sampling and Anomaly Detection [PDF]
2010 Proceedings IEEE INFOCOM, 2010 Anomaly detection methods typically operate on preprocessed traffic traces. Firstly, most traffic capturing devices today employ random packet sampling, where each packet is selected with a certain probability, to cope with increasing link speeds. Secondly, temporal aggregation, where all packets in a measurement interval are represented by their ...
Daniela Brauckhoff +2 more
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Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling
EURASIP Journal on Advances in Signal Processing, 2009 The recent sophistications in areas of mobile systems and sensor networks demand more and more processing resources. In order to maintain the system autonomy, energy saving is becoming one of the most difficult industrial challenges, in mobile computing.
Saeed Mian Qaisar +2 more
doaj +1 more source
Frontiers in Neurology, 2015 We describe and evaluate a pre-processing method based on a periodic spiral sampling of diffusion gradient directions for high angular resolution diffusion magnetic resonance imaging.
Farshid eSepehrband +12 more
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