Results 11 to 20 of about 88,175,373 (256)
DTI denoising for data with low signal to noise ratios [PDF]
Low signal to noise ratio (SNR) experiments in diffusion tensor imaging (DTI) give key information about tracking and anisotropy, e. g., by measurements with small voxel sizes or with high b values. However, due to the complicated and dominating impact of thermal noise such data are still seldom analysed.
Hahn, Klaus R. +3 more
openaire +3 more sources
Spatial Smoothing for Diffusion Tensor Imaging with low Signal to Noise Ratios [PDF]
Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and anisotropy, e.g. by measurements with very small voxel sizes, due to the complicated impact of thermal noise such experiments are up to now seldom analysed.
Hahn, Klaus R. +2 more
openaire +3 more sources
A Low Signal-to-Noise Ratio Infrared Small-Target Detection Network
Space-based infrared detection technology is critical to space situational awareness, playing a significant role in noncooperative space object detection, threat perception, and space target surveillance.
Fenghong Li +4 more
doaj +3 more sources
Isotonic recalibration under a low signal-to-noise ratio
Insurance pricing systems should fulfill the auto-calibration property to ensure that there is no systematic cross-financing between different price cohorts. Often, regression models are not auto-calibrated. We propose to apply isotonic recalibration to a given regression model to ensure auto-calibration.
Wüthrich, Mario V., Ziegel, Johanna
openaire +4 more sources
MEG SNR was estimated at the source level. Parcellated, group-average SNR map is depicted across the cortex. The cross-modal correspondence R2 map (i.e., regional model fit) is then compared with the SNR map.
Golia Shafiei (3191169) +2 more
core +2 more sources
Outage Capacity of Incremental Relaying at Low Signal-to-Noise Ratios [PDF]
5 pages, 4 figures, to be presented at VTC Fall 2009 in Anchorage ...
T. Renk +4 more
openaire +2 more sources
Performance of binary block codes at low signal-to-noise ratios [PDF]
Summary: The performance of general binary block codes on an unquantized additive white Gaussian noise (AWGN) channel at low signal-to-noise ratios is considered. Expressions are derived for both the block-error and the bit- error probabilities near the point where the bit signal-to-noise ratio is zero.
Chao, Chi-Chao +3 more
openaire +4 more sources
A systematic investigation of detectors for low signal-to-noise ratio EMG signals
Background Active participation of stroke survivors during robot-assisted movement therapy is essential for sensorimotor recovery. Robot-assisted therapy contingent on movement intention is an effective way to encourage patients’ active engagement. For severely impaired stroke patients with no residual movements, a surface electromyogram (EMG) has been
Monisha Yuvaraj +5 more
openaire +5 more sources
Selection Relaying at Low Signal to Noise Ratios
Performance of cooperative diversity schemes at Low Signal to Noise Ratios (LSNR) was recently studied by Avestimehr et. al. [1] who emphasized the importance of diversity gain over multiplexing gain at low SNRs. It has also been pointed out that continuous energy transfer to the channel is necessary for achieving the max-flow min-cut bound at LSNR ...
Ketan Rajawat, Adrish Banerjee
openaire +2 more sources
Design of pulse laser high-precision ranging algorithm under low signal-to-noise ratio
Because the traditional pulse laser high-precision ranging method has the problems of low ranging accuracy and long ranging time, a pulse laser high-precision ranging algorithm under low signal-to-noise ratio is proposed.
Chen Fang, Luo Lingling
doaj +1 more source

