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Journal ArticleDOI

Errors in Time Delay Measurements

H. Bungum, +1 more
- 01 Dec 1971 - 
- Vol. 91, Iss: 1, pp 56-70
TLDR
In this article, the authors investigated possible error sources in time delay measurements, using a computerized cross-correlation procedure, and found that relative low frequency waves and using the very first part of the P-signals give the most reliable and stable time delay values.
Abstract
Simple delay and sum of sensors in a seismic array is an effective method for noise suppression. However, unless we have precise steering delays, much of the signal energy is lost during the beam forming process too. We have investigated possible error sources in time delay measurements, using a computerized cross-correlation procedure. Parameters perturbed are correlation window length and positioning, signal frequency content and signal to noise ratio (SNR). Our results indicate that relative low frequency waves and using the very first part of theP-signals give the most reliable and stable time delay values. High frequency bandpass filtering improves SNR, but signal correlation and the precision in beam steering corrections decrease. Significant loss of high frequency energy during beamforming seems to be unavoidable.

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Citations
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Journal ArticleDOI

Determination of teleseismic relative phase arrival times using multi-channel cross-correlation and least squares

TL;DR: In this article, a semi-automated method of determining accurate relative phase arrival times and uncertainty estimates for teleseisms recorded on regional networks was developed, where the best results were obtained by using correlation windows containing 2 to 4 sec of the initial energy pulse of the phase.
Journal ArticleDOI

Rapid estimation of relative and absolute delay times across a network by adaptive stacking

TL;DR: Adaptive stacking is confirmed as a valuable alternative to data based cross-correlation techniques, particularly when heterogeneous instrumentation is employed.
Journal ArticleDOI

The NORSAR Array and Preliminary Results of Data Analysis

TL;DR: The NORSAR seismic array as mentioned in this paper consists of 22 subarrays, each equipped with one three-component long-period and six short-period instruments, and the array diameter is around 110 km, while that of a subarray is approximately 8 km.
Journal ArticleDOI

Magnitudes and moment‐duration scaling of low‐frequency earthquakes beneath southern Vancouver Island

TL;DR: In this paper, the authors employ 130 low-frequency earthquake (LFE) templates representing tremor sources on the plate boundary below southern Vancouver Island to examine LFE magnitudes.
Journal ArticleDOI

Application of arrays in the detection, location, and identification of seismic events

TL;DR: An overview of past and present developments of array technology, and the associated seismological achievements can be found in this paper, where the role of arrays in a potential comprehensive test ban treaty environment and on likely future developments in this particular field is discussed.
References
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Journal ArticleDOI

Nature of short‐period P‐wave signal variations at LASA

TL;DR: In this paper, the amplitude spectrum of individual sub-arrays at LASA was Fourier-analyzed and the assumption was made that the phased summation of the whole array is representative of the primary signal, and it was suggested that deep crustal relief causes multipathing of a P wave incident from below.
Journal ArticleDOI

Application of array data processing techniques to the swedish seismograph stations

TL;DR: In this article, an efficient tool in seismic signal analysis is offered by the array data processing techniques which are based upon similarity of pulse shapes between stations, which will greatly improve the seismic information which can be extracted from ordinary station records, provided the stations are located on geologically homogeneous ground.
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