Results 271 to 280 of about 194,746 (328)

Development of respiratory motion-resolved hepatobiliary phase cine-magnetic resonance imaging for stereotactic body radiotherapy in liver tumor. [PDF]

Sci Rep
Shimada R, Sofue K, Wang T, Ishihara T, Ueshima E, Ueno Y, Kusaka A, Murakami T.   +7 more
europepmc   +1 more source

Approximate Observation Weighted ℓ_2/3 SAR Imaging under Compressed Sensing. [PDF]

Sensors (Basel)
Li G, Xin D, Li W, Yang L, Wang D, Zhou Y.   +5 more
europepmc   +1 more source

Localizing axial dense emitters based on single-helix point spread function and compressed sensing. [PDF]

Nanophotonics
Wu H, Chen D, Ji Y, Xiang G, Ni Y, Li H, Yu B, Qu J.   +7 more
europepmc   +1 more source

SNR Enhancement for Comparator-Based Ultra-Low-Sampling Φ-OTDR System Using Compressed Sensing. [PDF]

Sensors (Basel)
Xiao Z, Li X, Zhang H, Yuan X, Zhang YA, Zhang Y, Li Z, Wang Q, Huang Y.   +8 more
europepmc   +1 more source

Decoding Fluid Flow Characteristics Through Distributed Acoustic Sensing: A Novel Approach. [PDF]

Sensors (Basel)
Ku H, Zhang K, He X, Zhang M, Lu H.
europepmc   +1 more source

Fast and accessible morphology-free functional fluorescence imaging analysis

Berlanga AE, Kang G, Kwok A, Broggini T, Lawlor J, Kuchibhotla K, Kleinfeld D, Mishne G, Charles AS.   +8 more
europepmc   +1 more source

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Distributed compressed sensing for despeckling of SAR images

Digital Signal Processing, 2018
Abstract Speckle noise is one of the critical disturbances that present in the radar imagery. This noise degrades the quality of synthetic aperture radar (SAR) images and needs to be reduced before using SAR images. This paper investigates a novel method for despeckling of SAR images in the distributed compressed sensing (DCS) framework.
Ahmad Shafiei, M. Beheshti, Ehsan Yazdian   +2 more
semanticscholar   +3 more sources

Research on Distributed Compressed Sensing With Dynamic Block Sparsity for Underwater Acoustic Channel Estimation

IEEE Internet of Things Journal, 2023
Channel estimation plays a crucial role in Internet of Underwater Things networks. Traditional channel estimation algorithms have limited performance improvement under the block-sparsity underwater acoustic channel, and the distributed compressed sensing
Yuehai Zhou, Dongsheng Chen, F. Tong, A. Song   +3 more
semanticscholar   +1 more source

Enabling Communication-Efficient Federated Learning via Distributed Compressed Sensing

IEEE Conference on Computer Communications, 2023
Federated learning (FL) trains a shared global model by periodically aggregating gradients from local devices. Communication overhead becomes a principal bottleneck in FL since participating devices usually suffer from limited bandwidth and unreliable ...
Yixuan Guan, Xuefeng Liu, Tao Ren, Jianwei Niu   +3 more
semanticscholar   +1 more source