Results 51 to 60 of about 24,580 (172)
Applied Sciences, 2022 Frequency estimation of a sinusoidal signal is a fundamental problem in signal processing for the Internet of Things. The frequency interpolation estimation algorithm based on the fast Fourier transform is susceptible to being disturbed by noise, which ...
Minglong Cheng +4 more
doaj +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose This study investigates the effect of VAPOR water suppression and metabolite cycling on metabolite quantification and macromolecules in proton magnetic resonance spectroscopy. Methods Single‐voxel semi‐LASER spectra (TR/TE = 3000/28 ms) and metabolite‐nulled spectra (macromolecules) were acquired in five healthy subjects in the ...
Dinesh K. Deelchand +1 more
wiley +1 more source
Parallel time-delay estimation algorithm for GMSK mixing signals
Tongxin xuebao, 2011 Parallel time-delay estimation algorithm was proposed for GMSK mixing signals based on linear approxima-tion approach.Parallel estimation equations were built in flat-fading channel according to autocorrelation of over-sampling based mixing signals and ...
RUI Guo-sheng1, XU Bin2, ZHANG Song2
doaj +2 more sources
Estimation precision of degree of polarization in the presence of signal-dependent and additive Poisson noises [PDF]
Journal of the European Optical Society-Rapid Publications, 2008 We address precision of estimation of the degree of polarization (DOP) from the orthogonal state contrast image (OSCI) in the presence of both signal-dependent Poisson noise due to useful signal, and additive Poisson noise due to dark current and / or ...
Bénière Arnaud +3 more
doaj +1 more source
On Limits of Performance of DNA Microarrays [PDF]
, 2006 DNA microarray technology relies on the hybridization process which is stochastic in nature. Probabilistic cross-hybridization of non-specific targets, as well as the shot-noise originating from specific targets binding, are among the many obstacles for ...
Hassibi, A., Hassibi, B., Vikalo, H.
core +1 more source
Robust Online Hamiltonian Learning [PDF]
, 2012 In this work we combine two distinct machine learning methodologies, sequential Monte Carlo and Bayesian experimental design, and apply them to the problem of inferring the dynamical parameters of a quantum system.
Aïmeur E +23 more
core +4 more sources
MR Spectroscopy Without Water Suppression Using the Gradient Impulse Response Function
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Non‐water‐suppressed proton spectroscopy, 1H‐MRS, is desirable, as retaining the strong water resonance can facilitate automated online data corrections, internal concentration referencing, and monitoring of line narrowing effects in functional MRS.
James B. Bacon +2 more
wiley +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt +7 more
wiley +1 more source
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source
Pilot-aided carrier synchronization using an approximate DCT-based phase noise model [PDF]
, 2007 This contribution deals with phase noise estimation from pilot symbols. The phase noise process is approximated by an expansion of DCT basis functions containing only a few terms.
Bhatti, Jabran, Moeneclaey, Marc
core +2 more sources