Compressed sampling strategies for tomography [PDF]
Journal of the Optical Society of America A, 2014 We investigate new sampling strategies for projection tomography, enabling one to employ fewer measurements than expected from classical sampling theory without significant loss of information. Inspired by compressed sensing, our approach is based on the understanding that many real objects are compressible in some known representation, implying that ...
Brady, David J +8 more
core +6 more sources
Compressed Sampling in Shift-Invariant Spaces Associated With FrFT
IEEE Access, 2021 Shift-invariant and sampling spaces play a vital role in the fields of signal processing and image processing. In this paper, we extend the generalized shift-invariant and sampling subspaces from the traditional sampling spaces to the compressed sampling,
Haoran Zhao, Lei Zhang, Liyan Qiao
doaj +2 more sources
A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging [PDF]
Scientific Reports, 2017 Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling.
Ming-Jie Sun +4 more
doaj +2 more sources
Endmember extraction and abundance estimation algorithm based on double-compressed sampling [PDF]
Scientific ReportsBased on double-compressed sampling, a hyperspectral spectral unmixing algorithm (SU_DCS) is proposed, which could directly complete the endmember extraction and abundance estimation.
Li Wang, Yang Bi, Wei Wang, Junfang Li
doaj +2 more sources
Compressed Adaptive-Sampling-Rate Image Sensing Based on Overcomplete Dictionary [PDF]
EntropyIn this paper, a compressed adaptive image-sensing method based on an overcomplete ridgelet dictionary is proposed. Some low-complexity operations are designed to distinguish between smooth blocks and texture blocks in the compressed domain, and adaptive
Jianming Wang +3 more
doaj +2 more sources
Utilization of Compressed Sampling for PAPR Reduction in OFDM IEEE-802.11a System
Journal of Communications Software and Systems, 2021 Being spectrally efficient, easily implemented, and highly immune to selective channel imperfections and multipath fading, the Orthogonal Frequency Division Multiplexing (OFDM) can provide a sufficiently robust and high data rate modulation technique for
Hussein Al-Moukhles
doaj +1 more source
A Modulated Wideband Converter Model Based on Linear Algebra and Its Application to Fast Calibration
Sensors, 2022 In the context of cognitive radio, smart cities and Internet-of-Things, the need for advanced radio spectrum monitoring becomes crucial. However, surveillance of a wide frequency band without using extremely expensive high sampling rate devices is a ...
Gilles Burel +2 more
doaj +1 more source
Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching
IEEE Access, 2021 The ever-increasing resolution puts tremendous pressure to the onboard hyperspectral imaging system. Compressed sensing technology is one of the important ways to solve this problem.
Hua Xiao, Zhongliang Wang, Xueying Cui
doaj +1 more source
Leaf Classification for Crop Pests and Diseases in the Compressed Domain
Sensors, 2022 Crop pests and diseases have been the main cause of reduced food production and have seriously affected food security. Therefore, it is very urgent and important to solve the pest problem efficiently and accurately.
Jing Hua, Tuan Zhu, Jizhong Liu
doaj +1 more source
A Block-Wise random sampling approach: Compressed sensing problem [PDF]
Journal of Artificial Intelligence and Data Mining, 2015 The focus of this paper is to consider the compressed sensing problem. It is stated that the compressed sensing theory, under certain conditions, helps relax the Nyquist sampling theory and takes smaller samples. One of the important tasks in this theory
V. Abolghasemi, S. Ferdowsi, S. Sanei
doaj +1 more source