Optimal Detection of Seismic Signals Based on Array Data

2013 ◽  
pp. 118-128
Author(s):  
A. F. Kushnir ◽  
V. I. Pinsky ◽  
V. F. Pisarenko ◽  
M. L. Tsvang ◽  
V. M. Lapshin
Keyword(s):  
Optimal Detection ◽  
Seismic Signals ◽  
Array Data

Statistically optimal event detection using small array data

1990 ◽  
Vol 80 (6B) ◽  
pp. 1934-1950 ◽  
Author(s):  
A. F. Kushnir ◽  
V. M. Lapshin ◽  
V. I. Pinsky ◽  
J. Fyen
Keyword(s):  
Maximum Likelihood ◽  
Power Spectrum ◽  
Event Detection ◽  
Underground Explosion ◽  
Seismic Signals ◽  
Array Data ◽  
On Line ◽  
Small Array ◽  
Maximum Likelihood Technique ◽  
Channel Filter

Abstract A generalization of Capon's maximum-likelihood technique for detection and estimation of seismic signals is introduced. By using a multi-dimensional autoregressive approximation of seismic array noise, we have developed a technique to use Capon's multi-channel filter for on-line processing. Such autoregressive adaptation to the curent noise matrix power spectrum is shown to yield good suppression of mutually correlated array noise processes. As an example, this technique is applied to detection of a small Semipalatinsk underground explosion recorded at the ARCESS array.

Implementation of array analysis on seismic signals from volcanoes in Iceland recorded on the small-aperture HEKSISZ array

2020 ◽  
Author(s):  
Tim Sonneman ◽  
Kristín Vogfjörd ◽  
Christopher Bean ◽  
Benedikt Halldórsson ◽  
Johannes Schweitzer
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Seismic Array ◽  
Raspberry Pi ◽  
Seismic Zone ◽  
Seismic Signals ◽  
Secondary Phases ◽  
Small Aperture ◽  
Array Data ◽  
Single Station

<p>We present preliminary results and progress updates of ongoing work at the Icelandic Meteorological Office carried out within the EUROVOLC work package on Volcano pre-eruptive unrest detection schemes. Our main goal is improved understanding of volcanic systems and fracture zones in South Iceland. This requires enhanced detection and mapping capabilities of seismic events from volcanoes in the Eastern Volcanic Zone (EVZ) and faults in the South Iceland Seismic Zone (SISZ), including continuous real-time analysis of seismic signals associated with magma movement in volcanoes and activity on faults in South Iceland. The chosen measures to achieve these tasks are the deployment of a seismic array at the intersection between the EVZ and the SISZ, the implementation of appropriate real-time array data processing and the investigation of spatiotemporal seismic source characteristics such as tracking of magma movements and intrusions from deep to shallow levels in the crust to image the volcanoes’ plumbing systems, shallow caldera seismicity, and earthquake rupture propagation and microseismicity on nearby tectonic faults. Through funding from an Icelandic infrastructure grant and cooperation between IMO and DIAS, the HEKSISZ small-aperture seismic array is being installed about 6 km south of Hekla. The array, which will consist of 12 stations (7 broadband seismometers and at least 5 additional Raspberry PI seismometers and some co-located accelerometers), builds upon experience gained from temporary array operations in the FUTUREVOLC project and will be the first permanent seismic array in Iceland. The array is surrounded by four different volcanic systems and a prominent fracture zone, providing an abundance of seismicity for analysis. The detection of volcanic and local earthquake events depends on signal coherency and the algorithms used. The signal coherency is mainly affected by array geometry and the site and noise conditions. To analyze the wavefield we will use algorithms such as beamforming, signal-to-noise triggers, FK analysis, and cross-correlation on both vertical and horizontal channels. The implementation is through free open-source software, based mainly on Python obspy and further extensions. While the array is still in the process of coming online, we use data from its existing central permanent network station, MJO to analyze signals from the volcanoes and faults in preparation for the future array data analysis. Relevant single-station observations are first arrival polarization and search for existence and timing of secondary phases, such as surface and Moho reflections from different distances and depths. These observed peculiarities will guide the focus of the array data analysis, specifically as one of the main interests is the depth determination of magma movements and intrusions below Hekla. The volcanic region may have strong lateral crustal heterogeneities, so if significant azimuthal deviations are estimated from the single-station analysis, correction parameters for the array will need to be constrained as well. To further test how a future array might perform in this location, we invert synthetic sources at various depths and distances and also use observed source arrays to search for additional phases from possible conversions and reflections and measure their phase velocities.</p>

The Farallones moored array data report

1993 ◽  
Author(s):  
K.L. Kinoshita ◽  
M.A. Noble ◽  
S.R. Ramp
Keyword(s):  
Array Data

NOISE AND TARGET SIGNALS SIMULATION IN PASSIVE SEISMIC LOCATION SYSTEMS

2018 ◽  
pp. 73-78
Author(s):  
Yu. V. Morozov ◽  
M. A. Rajfeld ◽  
A. A. Spektor
Keyword(s):  
Pulse Sequence ◽  
Signal To Noise Ratio ◽  
Seismic Signal ◽  
Seismic Signals ◽  
Simulation Procedure ◽  
Proposed Model ◽  
Seismic Location ◽  
Passive Seismic ◽  
System Characteristics ◽  
Primary Pulse

The paper proposes the model of a person seismic signal with noise for the investigation of passive seismic location system characteristics. The known models based on Gabor and Berlage pulses have been analyzed. These models are not able wholly to consider statistical properties of seismic signals. The proposed model is based on almost cyclic character of seismic signals, Gauss character of fluctuations inside a pulse, random amplitude change from pulse to pulse and relatively small fluctuation of separate pulses positions. The simulation procedure consists of passing the white noise through a linear generating filter with characteristics formed by real steps of a person, and the primary pulse sequence modulation by Gauss functions. The model permits to control the signal-to-noise ratio after its reduction to unity and to vary pulse shifts with respect to person steps irregularity. It has been shown that the model of a person seismic signal with noise agrees with experimental data.

Reconstruction of Protein Networks Using Reverse-Phase Protein Array Data

2016 ◽  
pp. 227-246
Author(s):  
Silvia von der Heyde ◽  
Johanna Sonntag ◽  
Frank Kramer ◽  
Christian Bender ◽  
Ulrike Korf ◽  
...  
Keyword(s):  
Protein Array ◽  
Protein Networks ◽  
Reverse Phase Protein Array ◽  
Reverse Phase ◽  
Array Data ◽  
Phase Protein

scholarly journals B-PO05-084 THE OPTIMAL DETECTION ALGORITHM TO IDENTIFY THE FOCAL SOURCES OF ROTOR IN PERSISTENT ATRIAL FIBRILLATION

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S405-S406
Author(s):  
Chia-Hsin Chiang ◽  
Men-Tzung Lo ◽  
Chen Lin ◽  
Fa-Po Chung ◽  
Yenn-Jiang Lin ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Persistent Atrial Fibrillation ◽  
Detection Algorithm ◽  
Optimal Detection
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