Compressive sampling and reconstruction in shift-invariant spaces associated with the fractional Gabor transform
Sign Up to like & getrecommendations! Published in 2021 at "Defence Technology"
DOI: 10.1016/j.dt.2021.04.003
Abstract: Abstract In this paper, we propose a compressive sampling and reconstruction system based on the shift-invariant space associated with the fractional Gabor transform. With this system, we aim to achieve the sub-Nyquist sampling and accurate… read more here.
Keywords: reconstruction; system; sampling reconstruction; compressive sampling ... See more keywords
Basis Pursuit With Sparsity Averaging for Compressive Sampling of Iris Images
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DOI: 10.1109/access.2022.3140429
Abstract: This paper proposes novel compressive sampling (CS) of colored iris images using three RGB iterations of basis pursuit (BP) with sparsity averaging (SA), called RGB-BPSA. In RGB-BPSA, a sparsity basis is performed using an average… read more here.
Keywords: basis pursuit; basis; iris images; pursuit sparsity ... See more keywords
Compressive Sampling of Color Retinal Image Using Spread Spectrum Fourier Sampling and Total Variant
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DOI: 10.1109/access.2022.3166464
Abstract: This paper proposes compressive sampling (CS) framework for color retinal image (CRI) compression, which relies on spread spectrum Fourier sampling (SSFS) and total variant (TV)-based reconstruction method with three loop of RGB color space, referred… read more here.
Keywords: color; spectrum fourier; retinal image; compressive sampling ... See more keywords
Using Compressive Sampling to Fill Interbatch Data Gap From Low-Cost IoT Vibration Sensor
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151051
Abstract: A low-cost wireless vibration sensor can be built using a 3-axis accelerometer, such as ADXL345, attached to a low-cost Wi-Fi microchip, such as ESP8266. In an Internet of Things (IoT) setting, a large number of… read more here.
Keywords: cost; low cost; compressive sampling; vibration sensor ... See more keywords
Semi-NMF-Based Reconstruction for Hyperspectral Compressed Sensing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3010332
Abstract: Hyperspectral compressed sensing (HCS) is a new imaging method that effectively reduces the power consumption of data acquisition. In this article, we present a novel HCS algorithm by incorporating spatial–spectral hybrid compressed sensing, followed by… read more here.
Keywords: reconstruction; compressed sensing; hyperspectral compressed; spectral unmixing ... See more keywords
Compressive Sampling Using a Pushframe Camera
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3114980
Abstract: The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive sampling. It optically applies a 2D mask to the imaged scene, before… read more here.
Keywords: using pushframe; camera; pushframe camera; compressive sampling ... See more keywords
Structured Low-Rank and Sparse Method for ISAR Imaging With 2-D Compressive Sampling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3221971
Abstract: With the development of modern advanced radar, there are high demands to perform inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and sparse aperture (SA) data, respectively. The compressed sensing (CS)-based methods… read more here.
Keywords: rank sparse; low rank; isar imaging; compressive sampling ... See more keywords
A Novel Iterative Thresholding Algorithm Based on Plug-and-Play Priors for Compressive Sampling
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DOI: 10.3390/fi9030024
Abstract: We propose a novel fast iterative thresholding algorithm for image compressive sampling (CS) recovery using three existing denoisers—i.e., TV (total variation), wavelet, and BM3D (block-matching and 3D filtering) denoisers. Through the use of the recently… read more here.
Keywords: iterative thresholding; compressive sampling; thresholding algorithm; plug play ... See more keywords