Results 201 to 210 of about 347,371 (244)
Evaluating Second-Generation Deep Learning Technique for Noise Reduction in Myocardial T1-Mapping Magnetic Resonance Imaging. [PDF]
Sawamura S +6 more
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Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction. [PDF]
Ivković RM +2 more
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Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom. [PDF]
Miyakawa S +8 more
europepmc +1 more source
A Novel Method for Noise Reduction and Jump Correction of Maglev Gyroscope Rotor Signals Under Instantaneous Perturbations. [PDF]
Liu D, Shi Z, Zou C, Yang Z, Li J.
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Improving Tracking of Selective Attention in Hearing Aid Users: The Role of Noise Reduction and Nonlinearity Compensation. [PDF]
Wilroth J +5 more
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The Journal of the Acoustical Society of America, 1996
A noise-suppression circuit (10) divides the signal from a microphone (12) into a plurality of frequency sub-bands by means of a noise-band divider (18) and a subtraction circuit (36). By means of gain circuits (32) and (34), it applies separate gains to the separate bands and then recombines them in a signal combiner (38) to generate an output signal ...
Jin Yang, Andrew Sendyk
openaire +1 more source
A noise-suppression circuit (10) divides the signal from a microphone (12) into a plurality of frequency sub-bands by means of a noise-band divider (18) and a subtraction circuit (36). By means of gain circuits (32) and (34), it applies separate gains to the separate bands and then recombines them in a signal combiner (38) to generate an output signal ...
Jin Yang, Andrew Sendyk
openaire +1 more source
2014
Magnetoencephalography (MEG) is a non-invasive neuroimaging tool that offers a combination of excellent temporal and good spatial resolution, provided that the acquired signals have a high enough signal-to-noise ratio. This requirement is often compromised as MEG signals are very weak and often masked by interfering signals from environmental noise ...
Samu Taulu +3 more
openaire +1 more source
Magnetoencephalography (MEG) is a non-invasive neuroimaging tool that offers a combination of excellent temporal and good spatial resolution, provided that the acquired signals have a high enough signal-to-noise ratio. This requirement is often compromised as MEG signals are very weak and often masked by interfering signals from environmental noise ...
Samu Taulu +3 more
openaire +1 more source

