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narrow-band noise

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Journal Article
Published: 01 September 2011
Seismological Research Letters (2011) 82 (5): 661–675.
... noise and transmission noise. Short-period digital recordings (EH) are predominantly narrow-band (corner frequency ≥ 1 Hz) with response rapidly decreasing at frequencies lower than 1 Hz. Again, too few counts per volt of seismometer output will inadequately measure the true ground motion...
FIGURES | View All (10)
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(a) A shot gather without narrow-band noise attenuation. (b) A shot gather with narrow-band noise attenuation. (c) The difference plot.
Published: 01 April 2021
Figure 11. (a) A shot gather without narrow-band noise attenuation. (b) A shot gather with narrow-band noise attenuation. (c) The difference plot.
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(a) A stacked section without narrow-band noise attenuation. (b) A stacked section with narrow-band noise attenuation. (c) The difference plot showing no differences for the unaffected data area.
Published: 01 April 2021
Figure 12. (a) A stacked section without narrow-band noise attenuation. (b) A stacked section with narrow-band noise attenuation. (c) The difference plot showing no differences for the unaffected data area.
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(a) Maxima of the cross-correlation function between narrow-band noise amplitude and wind speed. (b) Time lags associated with correlation coefficients greater than 0.4. (c) Time evolution of the seismic noise amplitude at frequency 1.7 Hz (gray line; north–south component of reference site 931E) and wind speed recorded at EGO’s premises (black line).
Published: 01 April 2011
Figure 4. (a) Maxima of the cross-correlation function between narrow-band noise amplitude and wind speed. (b) Time lags associated with correlation coefficients greater than 0.4. (c) Time evolution of the seismic noise amplitude at frequency 1.7 Hz (gray line; north–south component of reference
Journal Article
Published: 23 December 2019
Journal of Environmental and Engineering Geophysics (2019) 24 (4): 653–663.
... the following advantages: The Gaussian weighting function improves the noise-reducing ability for the narrow-band noise ( Nyboe and Sørensen, 2012 ); additionally, the weighting function has endowed the central period of the stacking sequence with more weight, which enhances the sensitivity of the data...
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(a) Time-frequency analysis of an uncorrelated continuous record. (b) Time-frequency analysis of the record after narrow-band noise attenuation.
Published: 01 April 2021
Figure 10. (a) Time-frequency analysis of an uncorrelated continuous record. (b) Time-frequency analysis of the record after narrow-band noise attenuation.
Journal Article
Journal: The Leading Edge
Published: 01 April 2021
The Leading Edge (2021) 40 (4): 288–296.
...Figure 11. (a) A shot gather without narrow-band noise attenuation. (b) A shot gather with narrow-band noise attenuation. (c) The difference plot. ...
FIGURES | View All (12)
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(a) The SS-CWT spectrogram of low-frequency segment. (b) The SS-CWT of high-frequency segment. It is obvious from the spectrogram that most of the noise energy is concentrated in two narrow frequency bands. (c) The SS-CWT spectrogram of low-frequency segment after soft thresholding. (d) The SS-CWT spectrogram of high-frequency segment after normalization. (e) The magnified window of presignal noise section (shown in Figure 2e with the box) and the stacked CF and picked narrow bands around its major peaks. Horizontal lines show frequency bands where the dominant energy of noise exists. (f) Magnified window around SS-CWT spectrogram of an event in the after normalization.
Published: 10 June 2016
Figure 3. (a) The SS-CWT spectrogram of low-frequency segment. (b) The SS-CWT of high-frequency segment. It is obvious from the spectrogram that most of the noise energy is concentrated in two narrow frequency bands. (c) The SS-CWT spectrogram of low-frequency segment after soft thresholding. (d
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NA inversion for angular parameters for continuous data. The upper panel shows a narrow frequency band centered on 0.5 Hz, and the lower panel shows a band centered on 0.75 Hz, where the signal-to-noise ratio is much lower. In each case the segment of data where the known signal has been inserted is readily identifiable by the consistency in azimuth over a significant time interval. The azimuth estimate is very good in the 0.5 Hz band, but there is more variation in the angle of incidence, due to the influence of the background noise.
Published: 01 August 2003
Figure 7. NA inversion for angular parameters for continuous data. The upper panel shows a narrow frequency band centered on 0.5 Hz, and the lower panel shows a band centered on 0.75 Hz, where the signal-to-noise ratio is much lower. In each case the segment of data where the known signal has
Journal Article
Published: 01 August 1985
Bulletin of the Seismological Society of America (1985) 75 (4): 1195–1204.
... analysis of the data is limited somewhat by instrumental problems, the increase in current speed, which ranged from 2 to 25 cm/sec, is correlated with a broadband increase in the noise level at frequencies below 10 Hz. Intermittent periods of narrow-band 8-Hz noise, which were also observed...
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The input over/under data (from Figure 1) filtered with a narrow-band filter with a pass-band from 2 to 5 Hz. The swell noise dominates the over data. Good signal strength is seen on the under data.
Published: 01 February 2008
Figure 6. The input over/under data (from Figure 1 ) filtered with a narrow-band filter with a pass-band from 2 to 5 Hz. The swell noise dominates the over data. Good signal strength is seen on the under data.
Journal Article
Journal: Geophysics
Published: 05 January 2024
Geophysics (2024) 89 (2): V87–V101.
..., and (3) it has relatively narrow bands with varying central frequencies. The first feature enables WTN to distort signals from shallow to deep, whereas the latter two features make traditional methods that separate noise and signals based on velocity and frequency differences less effective. To suppress...
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Example input shot gather and narrow band-pass filter panels from 1 to 10 Hz. Variable-depth streamer data have good signal down to 3 Hz with little contamination from acquisition noise.
Published: 01 September 2013
Figure 1. Example input shot gather and narrow band-pass filter panels from 1 to 10 Hz. Variable-depth streamer data have good signal down to 3 Hz with little contamination from acquisition noise.
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▴ Recordings at co-located instruments at Wildcat Mountain (36.79 N, 116.62 W), near Yucca Mountain, Nevada. Plot A shows the normalized vertical (z) traces after being reshaped to a BH instrument with corner frequency 0.1 Hz and after being filtered with a zero-phase, four-pole Butterworth filter, from 0.05 to 1 Hz. The sensors are WLD (EH), a narrow-band digital seismometer (S-13), WCT (SH), a narrow-band analog seismometer (L-4), and WLD (HG), a digital accelerometer (131A_02 MEMS). Plot B shows the Fourier amplitude spectrum (nm/s) in the band of interest for the HGZ (thick gray line), EHZ (black line), and SHZ (thin gray line) after being reshaped to a BH instrument with corner frequency 0.1 Hz. Note the lack of similarity of the HG spectra to the EH and SH spectra at all frequencies. Plot C shows the magnitude squared coherence (with a maximum value of 1) for pairs of sensors in the frequency band of interest. While the short-period sensor recordings (WCT SH and WLD EH, shown by the thick black line) are coherent at frequencies lower than 1 Hz, the accelerometer noise and the noise recorded by the short-period instruments (dark gray line for WCT SHZ and WLD HGZ and light gray line for WCT SHZ and WLD HGZ) are not coherent at frequencies below 1 Hz.
Published: 01 September 2011
Butterworth filter, from 0.05 to 1 Hz. The sensors are WLD (EH), a narrow-band digital seismometer (S-13), WCT (SH), a narrow-band analog seismometer (L-4), and WLD (HG), a digital accelerometer (131A_02 MEMS). Plot B shows the Fourier amplitude spectrum (nm/s) in the band of interest for the HGZ (thick gray
Journal Article
Journal: Geophysics
Published: 01 August 1982
Geophysics (1982) 47 (8): 1174–1184.
... by the ambient or environmental noise as well as by the processing noise, the proposed correction to spiking deconvolution may not always yield meaningful results.It is shown that although the Vibroseis wavelet may span several octaves, it is not only band-limited but can be approximated by a narrow-band signal...
Journal Article
Journal: The Leading Edge
Published: 01 January 2015
The Leading Edge (2015) 34 (1): 62–70.
... in time and space. Popular time-domain methods for attribute estimation are limited by their inability to filter frequency-dependent noise and adapt to changes in signal spectrum. The result is low resolution in narrow-band zones and poor fidelity in areas of low signal-to-noise ratio (S/N). Furthermore...
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(a) Input data derived from the gradient station shown in Figure 3. Uz is the vertical component and GX and GY are the (time integrated) inline and crossline spatial gradients. The panels (b-d) show the corresponding TF-domain data obtained by narrow band-pass filtering. Note the high level of low-frequency noise on the gradients (due to added white noise in the gradient station data) enhanced by the time-integration step.
Published: 07 June 2016
by narrow band-pass filtering. Note the high level of low-frequency noise on the gradients (due to added white noise in the gradient station data) enhanced by the time-integration step.
Journal Article
Journal: Geophysics
Published: 01 July 1984
Geophysics (1984) 49 (7): 934–948.
...-cycles. Exponential averaging or digital integration (stacking) is employed to increase signal-to-noise (S/N) ratios by limiting the noise acceptance to narrow frequency bands centered on odd harmonics of the repetition frequency, the width of the acceptance bands being inversely proportional to stacking...
Book Chapter

Author(s)
Brian J. Evans
Series: Society of Exploration Geophysicists Geophysical Monograph Series
Published: 01 January 1997
DOI: 10.1190/1.9781560801863.ch4
EISBN: 9781560801863
.... In seismic exploration, the recorded signal bandwidth is usually 0–250 Hz or lower. Often, data are processed in a narrower band, say 5–80 Hz, even though they may be recorded in a broader band. The duration of recorded signals depends on the nature of the source and target depth. Impulsive sources...
Published: 01 January 1971
DOI: 10.1190/1.9781560802525.ch4
EISBN: 9781560802525
... in deconvolution procedures. Narrow rejection bands can still be regularly spaced over the spectrum allowing for removal of multiples that may exist in land or marine seismic. ...