• Corpus ID: 133436261

Running median filters and a general despiker

@article{Evans1982RunningMF,
  title={Running median filters and a general despiker},
  author={John Richard Evans},
  journal={Bulletin of the Seismological Society of America},
  year={1982},
  volume={72},
  pages={331-338}
}
  • J. R. Evans
  • Published 1 February 1982
  • Geology
  • Bulletin of the Seismological Society of America
Running mean filters have long been used as time domain, digital, low-pass filters. They are a convolution in the time domain with a boxcar function (or, more generally, with functions designed for better frequency characteristics). Running means are linear and easily described by their transfer functions in the frequency domain. They handle some kinds of high-frequency contamination well. However, faced with the spikey noise sometimes affecting electronic systems and phenomena subject to… 

Figures from this paper

Noise Suppression Using a Near-Source Wavelet
TLDR
Results suggest that the incremental effort of recording an extra trace close to the source location during acquisition may provide previously unavailable denoising opportunities during processing although the trace itself may be redundant for imaging.
Some analyses of 2-D median f-k filters
Two-dimensional median filters can be designed so that they have properties similar to f-k fan filters. This is done by using the coefficients of a truncated impulse response of an f-k filter as the
Median filter behaviour with seismic data1
Median filters may be used with seismic data to attenuate coherent wavefields. An example is the attenuation of the downgoing wavefield in VSP data processing. The filter is applied across the traces
Automatic editing of noisy seismic data
Seismic data often contain traces that are dominated by noise; these traces should be removed (edited) before multichannel filtering or stacking. Noise bursts and spikes should be edited before
ADMM based algorithm for spike and smooth signal separation using over-complete dictionary
TLDR
The Alternating Direction Method of Multipliers (ADMM) framework is proposed for formulating and solving this optimization problem and the study of the performance of the algorithm with respect to certain signal parameters is also included.
A semblance-guided median filter
R eiter, E.C., T oksoz, M.N. and P urdy, G.M. 1992. A semblance-guided median filter. Geophysical Prospecting 41 , 15–41. A slowness selective median filter based on information from a local set
Noise‐adaptive filtering of seismic shot records
Ambient noise can obscure reflections on deep crustal seismic data. We use a spectral subtraction method to attenuate stationary noise. Our procedure, called noise‐adaptive filtering, is to Fourier
New events discovered in the Apollo lunar seismic data
TLDR
This work uses modern seismological data processing tools to revisit the Apollo lunar seismic data set with the goal of extending and further characterizing the existing catalog of deep moonquakes, and identifies additional events that can be associated with previously defined deep clusters.
Separation of upgoing and downgoing waves in vertical seismic profiling by contour‐slice filtering
The separation of upgoing waves and downgoing waves in vertical seismic profiling is effectively accomplished in the frequency‐wavenumber (f‐k) domain using a new technique of contour‐slice
...
1
2
3
4
...

References

SHOWING 1-10 OF 14 REFERENCES
Interpolation of digitized curves
  • R. Wiggins
  • Mathematics
    Bulletin of the Seismological Society of America
  • 1976
There are many applications for which a continuous interpolation is desired for a curve that has been sampled at discrete points. In this note I will describe a technique based on local procedures
Definition and Comparison of Robust Nonlinear Data Smoothing Algorithms
TLDR
The characterizations of the smoothers presented here reveal some with excellent low-pass transfer characteristics, negligible Gibbs rebound, and resistance to the effects of non-Gaussian disturbances.
Applications of a nonlinear smoothing algorithm to speech processing
TLDR
A nonlinear smoothing algorithm recently proposed by Tukey is described and evaluated for speech processing applications and the concept of double smoothing is introduced as a refinement on the smoothing algorithms.
Robust nonlinear data smoothers: Definitions and recommendations.
  • P. Velleman
  • Computer Science
    Proceedings of the National Academy of Sciences of the United States of America
  • 1977
TLDR
This paper defines some robust nonlinear smoothers that have performed well in Monte-Carlo trials and makes brief recommendations based upon that study.
Robust Modeling With Erratic Data
An attractive alternative to least‐squares data modeling techniques is the use of absolute value error criteria. Unlike the least‐squares techniques the inclusion of some infinite blunders along with
Automatic processing of local earthquake data
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Earth and Planetary Sciences, 1979.
Fortran computer programs for running median filters and a general despiker
CALIFORNIA 94025 Manuscript received August 14
  • CALIFORNIA 94025 Manuscript received August 14
  • 1981
Implementation of some resistant non-linear smoothers, Economic and Social Statistics Technical Report Series
  • Implementation of some resistant non-linear smoothers, Economic and Social Statistics Technical Report Series
  • 1978
Exploratory Data Analysis, Addison-Wesley Publishing
  • 1977
...
1
2
...