D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Towards Characterization of Infrasound Signals David A McCormack CTBT Verification Office.

Slides:

Advertisements

Similar presentations

13 Nov 2001Infrasound Workshop, Kona Array Geometry and Signal Observations David A McCormack Head of Monitoring and Analysis Geological Survey of Canada,

Advertisements

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 A Proposal for a Global Infrasound Event Archive David A McCormack 1, Laslo Evers 2, Hein.

Underwater Acoustic MIMO Channel Capacity

ECE 8443 – Pattern Recognition ECE 8423 – Adaptive Signal Processing Objectives: Periodograms Bartlett Windows Data Windowing Blackman-Tukey Resources:

Piezoceramic Sensors and Infrasound Technology

ASL QC Procedures Status and plans. GSN ANSS Traditional Waveform Review  The “morning run” Daily summarizes problems with availability, timing,

Infrasound Station Ambient Noise Estimates and Models: J. Roger Bowman, Gordon Shields, and Michael S. O’Brien Science Applications International.

THE AUSTRALIAN NATIONAL UNIVERSITY Infrasound Technology Workshop, November 2007, Tokyo, Japan OPTIMUM ARRAY DESIGN FOR THE DETECTION OF DISTANT.

Infrasound Signals Observed at I53US and I55US John V. Olson, Charles R. Wilson, C. A Szuberla and D. Osborne Infrasound Group, University of Alaska Fairbanks.

Statistical Postprocessing of Weather Parameters for a High-Resolution Limited-Area Model Ulrich Damrath Volker Renner Susanne Theis Andreas Hense.

GWDAW-10 (December 14, 2005, University of Texas at Brownsville, U.S.A.) Data conditioning and veto for TAMA burst analysis Masaki Ando and Koji Ishidoshiro.

1 Oguz Kazanci and Jeffrey Krolik Duke University Department of Electrical and Computer Engineering Durham, NC Supported by the CNTPO R&D Program.

Volkan Cevher, Marco F. Duarte, and Richard G. Baraniuk European Signal Processing Conference 2008.

1 BA 555 Practical Business Analysis Review of Statistics Confidence Interval Estimation Hypothesis Testing Linear Regression Analysis Introduction Case.

Methods and Philosophy of Statistical Process Control

Stratified Random Sampling. A stratified random sample is obtained by separating the population elements into non-overlapping groups, called strata Select.

Systematic effects in gravitational-wave data analysis

October, 2002 Infrasonic Signal Detection Using The Hough Transform D. J. Brown, B.L.N. Kennett, C. Tarlowski Research School of Earth Sciences, Australian.

High Sensitivity Magnetic Gradiometer for Earthquake Research Applications ISRAEL 2005 Ivan Hrvoic H. Ginzburg, H. Zafrir, G. Steinitz, B. Shirman, G.

ECE 8443 – Pattern Recognition ECE 8423 – Adaptive Signal Processing Objectives: Introduction SNR Gain Patterns Beam Steering Shading Resources: Wiki:

UF S.Klimenko LIGO-G Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion.

Infrasound detector for Apatity group Asming V.E., Kola Regional Seismological Center, Apatity, Russia.

Infrasound Case Studies Paul Golden Southern Methodist University ITW 2008 With contributions from Eugene Herrin, Petru Negraru, David Anderson and Breanna.

Stats for Engineers Lecture 9. Summary From Last Time Confidence Intervals for the mean t-tables Q Student t-distribution.

Elizabeth A. Silber, Douglas O. ReVelle, Wayne N. Edwards, Peter G. Brown The University of Western Ontario Presented at the Bermuda Infrasound Technology.

Capacity Variation of Indoor Radio MIMO Systems Using a Deterministic Model A. GrennanDIT C. DowningDIT B. FoleyTCD.

EFFECTS OF MUTUAL COUPLING AND DIRECTIVITY ON DOA ESTIMATION USING MUSIC LOPAMUDRA KUNDU & ZHE ZHANG.

IASPEI 2009 The Comprehensive Nuclear-Test-Ban Treaty Development of the Seismic Networks of the International Monitoring System Lassina Zerbo Director,

The Semivariogram in Remote Sensing: An Introduction P. J. Curran, Remote Sensing of Environment 24: (1988). Presented by Dahl Winters Geog 577,

Modeling of Infrasound from the Space Shuttle Columbia Reentry Robert Gibson and David Norris BBN Technologies Arlington, Virginia, USA Infrasound Technology.

Chapter 6. Control Charts for Variables. Subgroup Data with Unknown  and 

THE ANALYSIS OF THE INFRASOUND SIGNALS FROM MAY 12 EARTHQUAKE WENCHUAN CHINA Wang Xiaohang Signal Processing Department North China Institute of Computing.

Lg Q Across the Continental US Dan McNamara and Rob Wesson with Dirk Erickson, Arthur Frankel and Harley Benz.

Noise and Sensitivity of RasClic 91

Intrinsic Short Term Variability in W3-OH and W49N Hydroxyl Masers W.M. Goss National Radio Astronomy Observatory Socorro, New Mexico, USA A.A. Deshpande,

Changes in the Performance of the IMS Infrasound Network due to Seasonal Propagation Effects David Norris and Robert Gibson BBN Technologies 1300 N. 17.

Study of Broadband Postbeamformer Interference Canceler Antenna Array Processor using Orthogonal Interference Beamformer Lal C. Godara and Presila Israt.

Page 1 British Crown Copyright 2008/MOD Assessing the detection capability of the International Monitoring System infrasound network David Green and David.

Infrasound Technology Workshop – Tokyo, November The Buncefield Explosion: A benchmark for infrasound analysis in Europe L. Ceranna, D. Green, A.

Infrasound Technical Workshop 2008 Session 1 Summary – Sensors and Calibration.

Systems Check. Milton Garces and Claus Hetzer Infrasound Laboratory, University of Hawaii, Manoa PMCC analyses of signals from the North American and.

1 Location and Characterization of Infrasonic Events Roger Bowman 1, Greg Beall 1, Doug Drob 2, Milton Garces 3, Claus Hetzer 3, Michael O’Brien 1, Gordon.

Attenuation measurement with all 4 frozen-in SPATS strings Justin Vandenbroucke Freija Descamps IceCube Collaboration Meeting, Utrecht, Netherlands September.

Infrasound from lightning Jelle Assink and Läslo Evers Royal Netherlands Meteorological Institute Seismology Division ITW 2007, Tokyo, Japan.

October The Woomera Infrasound and Seismic Experiment David Brown 1 ; Clive Collins 1 ; Brian Kennett 2 1. Geoscience Australia 2. Australian National.

The generalization of Bayes for continuous densities is that we have some density f(y|  ) where y and  are vectors of data and parameters with  being.

Microphone Array Project ECE5525 – Speech Processing Robert Villmow 12/11/03.

D McCormack, La Jolla CTBT Infrasound 28 Oct 2003 GINA – An Update David A McCormack & Jim Blinkhorn Nuclear Explosion Monitoring Geological Survey of.

Infrasound Technology WS – Bermuda, November 6 th, Microbarom signals recorded in Antarctica - a measure for sudden stratospheric warming? L. Ceranna,

BASIC STATISTICAL CONCEPTS Statistical Moments & Probability Density Functions Ocean is not “stationary” “Stationary” - statistical properties remain constant.

1 Description and Analysis of Infrasound Signals Recorded from the North Pacific Event of February 22, 2003 Joydeep Bhattacharyya 1, Claus Hetzer 2,Milton.

A Study on Characteristics of Seasonally Dependent Infrasound Propagation Based on the Ground-Truth Events from a Long- Term Experiment at a Quarry mine.

Speaker: Sun Peng Identifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity.

How to describe Accuracy And why does it matter Jon Proctor, PhotoTopo GIS In The Rockies: October 10, 2013.

GWDAW91Thursday, December 16 First Comparison Between LIGO &Virgo Inspiral Search Pipelines F. Beauville on behalf of the LIGO-Virgo Joint Working Group.

GWDAW11 – Potsdam Results by the IGEC2 collaboration on 2005 data Gabriele Vedovato for the IGEC2 collaboration.

ARENA08 Roma June 2008 Francesco Simeone (Francesco Simeone INFN Roma) Beam-forming and matched filter techniques.

Seismic phases and earthquake location

MECH 373 Instrumentation and Measurements

Site effect characterization of the Ulaanbaatar basin

Bias and Uncertainty in Parameter Estimation in Infrasound Arrays

LECTURE 07: TIME-DELAY ESTIMATION AND ADPCM

Introduction to Summary Statistics

Refinement of Bolide Characteristics from Infrasound measurements

Introduction to Summary Statistics

SystemView First Steps

The Relationship between Uncertainty and Quality in Seismic Data

Data Analysis – Part1: The Initial Questions of the AFCS

Real-time Uncertainty Output for MBES Systems

Infrasonic observations of chemical explosions

Presentation transcript:

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Towards Characterization of Infrasound Signals David A McCormack CTBT Verification Office Geological Survey of Canada

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Systematic study of signal coherence with range and source type - outgrowth of studies of signal coherence for array design Motivated by considerations of screening requirements - relatively simple, parameter based characterization - automated after choice of window - suitable for ‘operationalization’ for testing Introduction

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Supplemented CMR ground truth dataset: 20 known events recorded with good SNR at 1or more of 6 arrays at ranges of km 117 independent coherence measurements in up to 6 passbands source types: -Bolides -Rocket launches -Chemical explosions -Gas pipeline explosions -Earthquakes Dataset

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Arrays Sources

Raypaths sampled

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002

Data Processing - 1 Calculate coherence after Blandford (1998): Assume noise uncorrelated between channels, stationary and uncorrelated with signal  = C ij / (A s -A n ) Choose standard window length and equivalent length of pre-event noise window for calculation. Default = 100 secs

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002

Data Processing - 2 Need to normalize coherence measurements to a standard sensor spacing: We know that different inter-element spacing will give different coherence measurements for the same source. Unfortunately, we know that coherence for a given inter- element spacing is a function of orientation relative to the direction of propagation (Mack & Flynn, 1971).

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002

Parallel Perpendicular

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Data Processing - 3 Calculate ‘effective distance’ d eff between elements as: d 2 eff = d 2 par +  2 d 2 perp Where  is derived empirically from the observations in the appropriate frequency band, and is typically around 2.

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Data Processing - 4 Interpolate between the various coherence – effective distance pairs for a given event at a given array to derive a single ‘average’ coherence estimate for the array at some nominal station spacing (2 km) Method used for interpolation permits e.g. outlier eliminations, at least for arrays with larger numbers of elements.

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Results 3 bands: Hz Hz Hz

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002

Gas Pipeline Explosion (12 Dec 1998) at DLIAR

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002

Summary General degradation of coherence with source-receiver distance. Systematic variations over several frequency bands of coherence with source type.

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002 Conclusion Demonstration of simple, comprehensible infrasound signal parameter suitable for automated postprocessing. Potentially useful for checking associations. May contain information on source type.

D McCormack, CTBT Infvrasound, KNMI Netherlands 29 October 2002