Adaptive beamforming for quadrupole resonance
Section snippets
Jian Li (S'87–M'91–SM'97–F'05) received the M.Sc. and Ph.D. degrees in electrical engineering from The Ohio University, Columbus, in 1987 and 1991, respectively.
From April 1991 to June 1991, she was an Adjunct Assistant Professor with the Department of Electrical Engineering, The Ohio State University, Columbus. From July 1991 to June 1993, she was an Assistant Professor with the Department of Electrical Engineering, University of Kentucky, Lexington. Since August 1993, she has been with the
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Cited by (18)
Enhancing deep learning nuclear quadrupole resonance detection using transfer learning and autoencoders
2022, Expert Systems with ApplicationsCitation Excerpt :Interference rejection in case of multi-sensor detection is based, generally, on spatial diversity techniques and adapts the mono-channel techniques to this type of detection. Beamforming solutions are proposed in (Stoica et al., 2007; Xiong, 2006) to reduce both spatially and temporally correlated RFI, such as: standard Capon beamformer (SCB), robust Capon beamformer (RCB) and amplitude and phase Estimation (APES). Although it has a better resolution, SCB achieves a low performance in case of non-stationary interference and RCB is proposed as a solution.
A review of NQR signal processing and analysis techniques
2020, Journal of the Franklin InstituteCitation Excerpt :In practice, the gain and phase differences between the channels do not allow this subtraction and, as a result, estimation techniques are required. In [56,57], several beamforming algorithms are investigated to cancel spatially and temporally correlated RFI: standard Capon beamformer (SCB), robust Capon beamformer (RCB) and APES. SCB offers better resolution and rejection than data-independent solutions, but its performance drops in case of nonstationary noise and interference, and the RCB was proposed to overcome this disadvantage.
Detecting NQR signals severely polluted by interference
2017, Signal ProcessingCitation Excerpt :This multi-channel method can be efficient in cancelling interference, but is a challenging task for real life measurements. For example, channel gains can hardly be the same, and the phase of the data received by different channels may not be equal [13,14]. To cancel interference from NQR data, a frequency selective method is often used which can be coupled with ETAML algorithm yielding the frequency-selective ETAML (FETAML) algorithm [6,9].
High accuracy peak location and amplitude spectral estimation via tuning APES method
2010, Digital Signal Processing: A Review JournalSignal Processing and Analysis Techniques Applied in Nuclear Quadrupole Resonance
2022, Signals and Communication Technology
Jian Li (S'87–M'91–SM'97–F'05) received the M.Sc. and Ph.D. degrees in electrical engineering from The Ohio University, Columbus, in 1987 and 1991, respectively.
From April 1991 to June 1991, she was an Adjunct Assistant Professor with the Department of Electrical Engineering, The Ohio State University, Columbus. From July 1991 to June 1993, she was an Assistant Professor with the Department of Electrical Engineering, University of Kentucky, Lexington. Since August 1993, she has been with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, where she is currently a Professor. Her current research interests include spectral estimation, statistical and array signal processing, and their applications.
Dr. Li is a Fellow of IEEE and a Fellow of IEE. She is a member of Sigma Xi and Phi Kappa Phi. She received the 1994 National Science Foundation Young Investigator Award and the 1996 Office of Naval Research Young Investigator Award. She was an Executive Committee Member of the 2002 International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, May 2002. She was an Associate Editor of the IEEE Transactions on Signal Processing from 1999 to 2005 and an Associate Editor of the IEEE Signal Processing Magazine from 2003 to 2005. She has been a member of the Editorial Board of Signal Processing, a publication of the European Association for Signal Processing (EURASIP), since 2005. She is presently a member of two of the IEEE Signal Processing Society technical committees: the Signal Processing Theory and Methods (SPTM) Technical Committee and the Sensor Array and Multichannel (SAM) Technical Committee.