Zobrazeno 1 - 10
of 1 799
pro vyhledávání: '"compressive sensing (CS)"'
Publikováno v:
Leida xuebao, Vol 13, Iss 1, Pp 46-67 (2024)
With the growing demand for radar target detection, Sparse Recovery (SR) technology based on the Compressive Sensing (CS) model has been widely used in radar signal processing. This paper first outlines the fundamental theory of SR and then introduce
Externí odkaz:
https://doaj.org/article/368b96a10ad1464c93247e0e0d4c4c7a
Autor:
Min-Seok Kang, Jae-Min Baek
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17772-17779 (2024)
Interferometric synthetic aperture radar (InSAR) denoising is an essential processing step in deformation measurement and topography reconstruction. A noisy InSAR phase image gives rise to the phase unwrapping difficulties and even results in the deg
Externí odkaz:
https://doaj.org/article/95010ce38a9147318a2563cc7849087e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9907-9921 (2024)
The structure information of hyperspectral image (HSI) is well-characterized by tensors, surpassing the capabilities of traditional compressive sensing reconstruction models based on vectors and matrices. Tensor decomposition has been integrated with
Externí odkaz:
https://doaj.org/article/d72317831dd14fbfa74d132af14fd5b2
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1459 (2024)
High-resolution wide-swath (HRWS) imaging is the research focus of the modern spaceborne synthetic-aperture radar (SAR) imaging field, with significant relevance and vast application potential. Staggered SAR, as an innovative imaging system, mitigate
Externí odkaz:
https://doaj.org/article/4c7bdd7fd793462db73d87a07d550847
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 4, Pp 530-544 (2023)
In a transmit preprocessing aided frequency division duplex (FDD) massive multi-user (MU) multiple-input multiple-output (MIMO) scheme assisted orthogonal frequency-division multiplexing (OFDM) system, it is required to feed back the frequency domain
Externí odkaz:
https://doaj.org/article/52752efaf74a4fbfafadefd121104335
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 841-850 (2023)
Recent developments in brain-machine interface technology have rendered seizure prediction possible. However, the transmission of a large volume of electrophysiological signals between sensors and processing apparatuses and the related computation be
Externí odkaz:
https://doaj.org/article/6afd900879d84256aa2aedc0a284c785
Publikováno v:
Leida xuebao, Vol 11, Iss 1, Pp 62-70 (2022)
Synthetic Aperture Radar (SAR) Tomography (TomoSAR) is a novel technique that enables three-Dimensional (3-D) imaging using multi-baseline two-Dimensional (2-D) data. The essence of TomoSAR is actually to solve a one-dimensional spectral estimation p
Externí odkaz:
https://doaj.org/article/11782c1f985c46619023a78a3813ec82
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8632-8649 (2022)
The compressive sensing (CS)-based optical remote sensing (ORS) imaging system has been verified for the feasibility through numerical simulation experiments. The CS-based ORS imaging system can reduce the demand for sampling equipment, reduce sampli
Externí odkaz:
https://doaj.org/article/4c0048f035994765b7760560f5037c26
Publikováno v:
Journal of Electronic Science and Technology, Vol 20, Iss 4, Pp 100182- (2022)
The direction-of-arrival (DOA) estimation problem can be solved by the methods based on sparse Bayesian learning (SBL). To assure the accuracy, SBL needs massive amounts of snapshots which may lead to a huge computational workload. In order to reduce
Externí odkaz:
https://doaj.org/article/47b01fea813f49189b159ccd729e6780
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