Results 1 to 10 of about 3,086,556 (345)

Compressed Sensing

Mitteilungen der Deutschen Mathematiker-Vereinigung, 2014
Jayaraman J. Tiagarajan, Karthikeyan Natesan Ramamurthy, Pavan Turaga, Andreas Spanias   +3 more
semanticscholar   +8 more sources

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

Applied Sciences, 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.
Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng, Jürgen Kurths, Yixian Yang   +5 more
doaj   +2 more sources

Compressed Sensing for Biomedical Photoacoustic Imaging: A Review [PDF]

Sensors
Photoacoustic imaging (PAI) is a rapidly developing emerging non-invasive biomedical imaging technique that combines the strong contrast from optical absorption imaging and the high resolution from acoustic imaging.
Yuanmao Wang, Yang Chen, Yongjian Zhao, Siyu Liu   +3 more
doaj   +2 more sources

Compressed Sensing Based Channel Estimation for Movable Antenna Communications [PDF]

IEEE Communications Letters, 2023
In this letter, we study the channel estimation for wireless communications with movable antenna (MA), which requires to reconstruct the channel response at any location in a given region where the transmitter/receiver is located based on the channel ...
Wenyan Ma, Lipeng Zhu, Rui Zhang
semanticscholar   +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

Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective [PDF]

IEEE Transactions on Wireless Communications, 2022
Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for realizing future wireless systems. In this paper, we propose an ISAC processing framework relying on millimeter-wave (mmWave) massive multiple-input ...
Zhen Gao, Ziwei Wan, Dezhi Zheng, Shufeng Tan, C. Masouros, Derrick Wing Kwan Ng, Shengbo Chen   +6 more
semanticscholar   +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

COMPRESSIVE SENSING

International Journal of Engineering Technologies and Management Research, 2020
Compressive sensing is a relatively new technique in the signal processing field which allows acquiring signals while taking few samples. It works on two principles: sparsity, which pertains to the signals of interest, and incoherence, which pertains to the sensing modality.
Karl-Dirk Kammeyer, Armin Dekorsy, Peter Klenner, Mark Petermann   +3 more
openaire   +3 more sources

Compressed Sensing: Theory and Applications

Journal of Physics: Conference Series, 2023
Compressed sensing is a new technique for solving underdetermined linear systems. Because of its good performance, it has been widely used in academia.
Hanbo Wang
semanticscholar   +1 more source

Compressed Sensing Approach for Physiological Signals: A Review

IEEE Sensors Journal, 2023
The immense progress in physiological signal acquisition and processing in health monitoring allowed a better understanding of patient disease detection and diagnosis.
Bharat Lal, Raffaele Gravina, F. Spagnolo, P. Corsonello   +3 more
semanticscholar   +1 more source