Results 41 to 50 of about 2,799,007 (333)
THE DISCRETIZATION OF THE POLARIZED SIGNAL
Научный вестник МГТУ ГА, 2018 Often, the monitoring systems solution of remote sensing problems, recognition (classification, discrimination) of radar objects using radio polarimetry methods is required in real time mode with the display of the current information on the radar ...
P. E. Korneev
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Demodulating BOC signals using compressive signal processing
Dianzi Jishu Yingyong, 2019 In order to lower the sampling frequency of binary offset carrier(BOC) signal, a BOC signal demodulation scheme based on compressive signal processing is proposed.
Song Peng, He Guodong
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Adaptive Processing With Signal Contaminated Training Samples
IEEE Transactions on Signal Processing, 2013 We consider the adaptive beamforming or adaptive detection problem in the case of signal contaminated training samples, i.e., when the latter may contain a signal-like component. Since this results in a significant degradation of the signal to interference and noise ratio at the output of the adaptive filter, we investigate a scheme to jointly detect ...
Besson, Olivier, Bidon, Stéphanie
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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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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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Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction [PDF]
IEEE Global Conference on Signal and Information Processing, 2017 Graph Signal Processing (GSP) is a promising framework to analyze multi-dimensional neuroimaging datasets, while taking into account both the spatial and functional dependencies between brain signals.
M. Ménoret +3 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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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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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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