نتایج جستجو برای: geological noise removing

تعداد نتایج: 251754  

Journal: :TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2014

Journal: :The Journal of the Korean Institute of Information and Communication Engineering 2011

Journal: :Environmental pollution 2005
Gregory A Wetherbee Natalie E Latysh John D Gordon

Data from the U.S. Geological Survey (USGS) collocated-sampler program for the National Atmospheric Deposition Program/National Trends Network (NADP/NTN) are used to estimate the overall error of NADP/NTN measurements. Absolute errors are estimated by comparison of paired measurements from collocated instruments. Spatial and temporal differences in absolute error were identified and are consist...

1999
J. F. Adlard

The use of frequency-shift (FRESH) filtering for the rejection of adjacent channel interference (ACI) in GMSK modulated VLF communications is investigated in the presence of impulsive noise. The effects of such filtering in conjunction with a simple “hole-punching” technique for removing impulses from the signal are characterised. A range of realistic scenarios based on a high powered GMSK inte...

2016
Kuljeet Kaur

In Digital Image Processing removing the noise from an images is a very important to get the excellent result. Different filtering techniques like Median Filter and Mean Filter is not effective oftentimes for filtering the digital images. The newest procedure in this paper has focused on the data mining methods to improve data mining based fuzzy filtering further by utilizing filter for mixed n...

Journal: :Journal of neuroscience methods 2007
Alain de Cheveigné Jonathan Z Simon

We present an algorithm for removing environmental noise from neurophysiological recordings such as magnetoencephalography (MEG). Noise fields measured by reference magnetometers are optimally filtered and subtracted from brain channels. The filters (one per reference/brain sensor pair) are obtained by delaying the reference signals, orthogonalizing them to obtain a basis, projecting the brain ...

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