Z
Zhaolin Sun
Researcher at National University of Defense Technology
Publications - 21
Citations - 189
Zhaolin Sun is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Electrical impedance tomography & Signal processing. The author has an hindex of 7, co-authored 21 publications receiving 155 citations.
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Journal ArticleDOI
Comparison of total variation algorithms for electrical impedance tomography.
Zhou Zhou,Zhou Zhou,Gustavo Sato dos Santos,Thomas Dowrick,James Avery,Zhaolin Sun,Hui Xu,David Holder +7 more
TL;DR: Noise performance, spatial resolution and convergence rate applied to time difference EIT were studied, and the primal dual interior point method (PDIPM), the linearised alternating direction method of multipliers (LADMM) and the spilt Bregman (SB) method had the fastest calculation speed but worst resolution due to the exclusion of the second-derivative.
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Joint Blind Calibration for Mixed Mismatches in Two-Channel Time-Interleaved ADCs
TL;DR: A method for joint calibration of several types of linear and nonlinear mismatch errors in two-channel TI-ADCs using a normalized least-mean square (N-LMS) algorithm as well as a certain low degree of oversampling for the overall converter to estimate and compensate for the mixed mismatch errors.
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Digital estimation and compensation method for nonlinearity mismatches in time-interleaved analog-to-digital converters
TL;DR: This work analyzes the influence of nonlinearity mismatches by using a polynomial model and uses the signal-to-noise and distortion ratio (SNDR) as a cost measure and derives a compact formula describing the dependency on nonlinearities mismatches.
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Multifrequency electrical impedance tomography with total variation regularization
Zhou Zhou,Zhou Zhou,Thomas Dowrick,Emma Malone,James Avery,Nan Li,Zhaolin Sun,Hui Xu,David Holder +8 more
TL;DR: The proposed MFEIT method with TV regularization shows higher spatial resolution, particularly at the edges of the perturbation, and stronger noise robustness, and its image noise and shape error are 20% to 30% lower than the traditional fraction method.
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Reconfigurable Bioimpedance Emulation System for Electrical Impedance Tomography System Validation
TL;DR: The proposed bioimpedance emulation method can emulate the impedance frequency characteristics of various biological samples from user configurations and offers advantages in flexibility, repeatability, and cost-efficient compared to more traditional approaches, simplifying the validation process of electrical impedance tomography systems.