Results 1 to 10 of about 4,654 (117)

Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications

Applied Sciences (Switzerland), 2020
With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication.
Yixian Yang, Lixiang Li, Li Lixiang
exaly   +3 more sources

Automated sparse feature selection in high-dimensional proteomics data via 1-bit compressed sensing and K-Medoids clustering [PDF]

BMC Bioinformatics
Background High-dimensional proteomics data present significant challenges in biomarker discovery due to technical noise, feature redundancy, and multicollinearity.
FuDong Wen, Yue Su, Dan Liu, YuPeng Wang, MeiNa Liu   +4 more
doaj   +2 more sources

EEG Emotion Recognition Based on Deep Compressed Sensing

Taiyuan Ligong Daxue xuebao, 2023
Purposes Deep compressed sensing is the use of deep learning to solve the problems existing in traditional compressed sensing, such as the adaptability of observation matrix to traditional signal compression and the dependency on dictionary by ...
Jinxin FENG, Xueying ZHANG, Jing ZHANG, Guijun CHEN, Lixia HUANG, Suzhe WANG   +5 more
doaj   +1 more source

Continuous Compressed Sensing Hilbert-Schmidt Integral Operator

IEEE Access, 2022
Continuous Compressed-Sensing-Karhunen-Loéve Expansion (CS-KLE) has been proposed. Compressed sensing has been proposed as a highly efficient computational method to represent compressible signals using a few numbers of linear functional.
Mohammadreza Robaei, Robert Akl
doaj   +1 more source

Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers

European Radiology Experimental, 2023
Background To investigate the potential of combining compressed sensing (CS) and deep learning (DL) for accelerated two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) of the shoulder.
Thomas Dratsch, Florian Siedek, Charlotte Zäske, Kristina Sonnabend, Philip Rauen, Robert Terzis, Robert Hahnfeldt, David Maintz, Thorsten Persigehl, Grischa Bratke, Andra Iuga   +10 more
doaj   +1 more source

Feasibility of Laser Communication Beacon Light Compressed Sensing

Sensors, 2020
The Compressed Sensing (CS) camera can compress images in real time without consuming computing resources. Applying CS theory in the Laser Communication (LC) system can minimize the assumed transmission bandwidth (normally from a satellite to a ground ...
Zhen Wang, Shijie Gao, Lei Sheng
doaj   +1 more source

Single-Shot Compressed Imaging via Random Phase Modulation

Applied Sciences, 2022
Compressed sensing (CS) provides an innovative framework for signal sampling, which enables accurate recovery of the sparse or compressible signal from a small set of linear measurements far fewer than the Nyquist rate in traditional signal processing ...
Cheng Zhang, Ru Zhang, Yuanyuan Zhu, Hairong Yang, Chuan Shen, Sui Wei   +5 more
doaj   +1 more source

Compressive Sensing of Medical Images Based on HSV Color Space

Sensors, 2023
Recently, compressive sensing (CS) schemes have been studied as a new compression modality that exploits the sensing matrix in the measurement scheme and the reconstruction scheme to recover the compressed signal.
Gandeva Bayu Satrya, I Nyoman Apraz Ramatryana, Soo Young Shin   +2 more
doaj   +1 more source

Multitrack Compressed Sensing for Faster Hyperspectral Imaging

Sensors, 2021
Hyperspectral imaging (HSI) provides additional information compared to regular color imaging, making it valuable in areas such as biomedicine, materials inspection and food safety. However, HSI is challenging because of the large amount of data and long
Sharvaj Kubal, Elizabeth Lee, Chor Yong Tay, Derrick Yong   +3 more
doaj   +1 more source

Fuzzy Adaptive-Sampling Block Compressed Sensing for Wireless Multimedia Sensor Networks

Sensors, 2020
The transmission of high-volume multimedia content (e.g., images) is challenging for a resource-constrained wireless multimedia sensor network (WMSN) due to energy consumption requirements.
Sovannarith Heng, Phet Aimtongkham, Van Nhan Vo, Tri Gia Nguyen, Chakchai So-In   +4 more
doaj   +1 more source