Results 31 to 40 of about 895,416 (337)
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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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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Special Considerations in Estate Planning for Same-Sex and Unmarried Couples [PDF]
, 2013 Sub-Nyquist sampling makes use of sparsities in analog signals to sample them at a rate lower than the Nyquist rate. The reduction in sampling rate, however, comes at the cost of additional digital signal processing (DSP) which is required to reconstruct
Johansson, Håkan +1 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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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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Generalized rejection sampling schemes and applications in signal processing [PDF]
Signal Processing, 2010 Bayesian methods and their implementations by means of sophisticated Monte Carlo techniques, such as Markov chain Monte Carlo (MCMC) and particle filters, have become very popular in signal processing over the last years. However, in many problems of practical interest these techniques demand procedures for sampling from probability distributions with ...
Martino, Luca, Míguez, Joaquín
openaire +3 more sources
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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A unified approach to sparse signal processing [PDF]
, 2012 A unified view of the area of sparse signal processing is presented in tutorial form by bringing together various fields in which the property of sparsity has been successfully exploited. For each of these fields, various algorithms and techniques, which
Akram Aldroubi +7 more
core +3 more sources