High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan +4 more
wiley +1 more source
Unsupervised Neural Beamforming for Uplink MU-SIMO in 3GPP-Compliant Wireless Channels. [PDF]
Vahapoglu C +4 more
europepmc +1 more source
Automatic SNR measurement of brain MR images using a deep learning-based approach. [PDF]
Kojima S +6 more
europepmc +1 more source
Distributed Phased-Array Radar Mainlobe Interference Suppression and Cooperative Localization Based on CEEMDAN-WOBSS. [PDF]
Liu X, He H, Li R, Wu Y, Zhang X, You Y.
europepmc +1 more source
Advanced signal-processing framework for remote photoplethysmography-based heart rate measurement: Integrating adaptive Kalman filtering with discrete wavelet transformation. [PDF]
Debnath U, Kim S.
europepmc +1 more source
An Adaptive Hyperfine Spectrum Extraction Algorithm for Optical Sensing Based on SG Filtering and VMD. [PDF]
Wu Y +7 more
europepmc +1 more source
Subspace Complexity Reduction in Direction-of-Arrival Estimation via the RASA Algorithm. [PDF]
Bapir-Bakr B +4 more
europepmc +1 more source
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Improved SNR Estimation Algorithm
2017 International Conference on Computer Systems, Electronics and Control (ICCSEC), 2017As for several NDA SNR estimation algorithm for QPSK signal, their SNR estimation performance is poor. This article puts forward an improved low complexity SNR estimation algorithm to improve the SNR estimation range and accuracy. The mean, bias and variance of the new algorithm are simulated.
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