Tim lucas-id2ox
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These are the slides from my talk at id2ox. http://id2-ox.co.uk/ It presents a method for estimating animal abundance using camera traps or acoustic detectors. The method does not require individual identification of individuals (as capture-mark-recapture does), nor does it require knowledge of the distance between animal and sensor (as distance sampling does). Instead it builds a mechanistic model of whether animals can be detected by the sensor depending on the acoustic/visual properties of the species and sensor. The expected numbers of encounters, assuming completely random movement. This work is now published in Methods in Ecology and Evolution. http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12346/abstract
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Ray : modeling dynamic systems
The document discusses modeling dynamic systems and earthquake response. It covers basic concepts like Fourier transforms, single and multi-degree of freedom systems, modal analysis, and elastic response spectra. Numerical methods are presented for dynamic analysis in the frequency and time domains, including the finite element method and method of complex response. Examples of earthquake records, harmonic motion, and Fourier transforms are shown.
002 ray modeling dynamic systems
The document discusses modeling dynamic systems and earthquake response. It covers basic concepts like Fourier transforms, single and multi-degree of freedom systems, modal analysis, and elastic response spectra. Numerical methods are presented for dynamic analysis in the frequency and time domains, including the finite element method and method of complex response. Examples of earthquake records and harmonic motion are shown.
002 ray modeling dynamic systems
The document discusses modeling dynamic systems and earthquake response. It covers basic concepts like Fourier transforms, single and multi-degree of freedom systems, modal analysis, and elastic response spectra. Numerical methods are presented for dynamic analysis in the frequency and time domains, including the finite element method and method of complex response. Examples of earthquake records and harmonic motion are shown.
Wavelet estimation for a multidimensional acoustic or elastic earth
A new and general wave theoretical wavelet estimation
method is derived. Knowing the seismic wavelet
is important both for processing seismic data and for
modeling the seismic response. To obtain the wavelet,
both statistical (e.g., Wiener-Levinson) and deterministic
(matching surface seismic to well-log data) methods
are generally used. In the marine case, a far-field
signature is often obtained with a deep-towed hydrophone.
The statistical methods do not allow obtaining
the phase of the wavelet, whereas the deterministic
method obviously requires data from a well. The
deep-towed hydrophone requires that the water be
deep enough for the hydrophone to be in the far field
and in addition that the reflections from the water
bottom and structure do not corrupt the measured
wavelet. None of the methods address the source
array pattern, which is important for amplitude-versus-
offset (AVO) studies.
Wavelet estimation for a multidimensional acoustic or elastic earth- Arthur W...
A new and general wave theoretical wavelet estimation
method is derived. Knowing the seismic wavelet
is important both for processing seismic data and for
modeling the seismic response. To obtain the wavelet,
both statistical (e.g., Wiener-Levinson) and deterministic
(matching surface seismic to well-log data) methods
are generally used. In the marine case, a far-field
signature is often obtained with a deep-towed hydrophone.
The statistical methods do not allow obtaining
the phase of the wavelet, whereas the deterministic
method obviously requires data from a well. The
deep-towed hydrophone requires that the water be
deep enough for the hydrophone to be in the far field
and in addition that the reflections from the water
bottom and structure do not corrupt the measured
wavelet. None of the methods address the source
array pattern, which is important for amplitude-versus-
offset (AVO) studies
lecture30.pptx
This document contains lecture notes on Cherenkov radiation from Physics 712 Electrodynamics. The notes discuss Cherenkov radiation, which is bluish light emitted when charged particles travel faster than the phase velocity of light in a dielectric medium. The notes cover the Liénard-Wiechert potentials used to describe the electromagnetic fields, conditions for Cherenkov radiation to occur when the particle velocity exceeds the phase velocity of light, and details of the radiation observed near the Cherenkov angle.
LMSProjectReportFINAL
This document summarizes the results of an indoor channel measurement experiment using USRP boards and GnuRadio. A spread spectrum channel sounder was implemented using a PN sequence transmitted from one USRP and correlated at a receiving USRP. Measurements were taken at different stations in a lab room with LOS and NLOS configurations. The data showed shifting of LOS peaks over time due to unsynchronized clocks between USRPs. With synchronized clocks, distinct multipath components were observable. The experiment demonstrated basic properties of PN sequences and their use in channel sounding.
Web excerpts-md-navcrs-v5-aug14
navigation, celestial, stars, sun, sailing, charts, ocean, sailboat, marine, sextant, orbit, earth, line of position, lop, altaz, altitude azimuth, intercept method, st hilaire method, trigonometry, spherical trigonometry, navigator, tables, almanac, watch time, zone time, gmt, meridian, latitude, longitude
chap4_lec1.ppt Engineering and technical
This document provides an overview of bandpass signalling and the complex envelope representation of bandpass signals. It defines bandpass and baseband signals and modulation. It describes how any physical bandpass waveform can be represented using a complex envelope representation involving a carrier signal. It discusses the spectrum of bandpass signals and how the power spectrum density of the bandpass signal is related to the power spectrum density of the complex envelope. It provides examples of different modulation techniques and their corresponding complex envelope and spectrum characteristics.
Time reversed acoustics - Mathias Fink
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-45
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100
200
300
400
500
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-10
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1) Time reversal acoustics utilizes the time reversal invariance of the acoustic wave equation to focus waves in space and time.
2) A time reversal mirror records acoustic waves from a source and re-emits a time-reversed version of the recorded signal to focus it back to the original source location.
3) Experiments demonstrate that time reversal focusing works in complex media like random scatterers and waveguides, achieving focusing beyond
Analysis of multipath channel delay estimation using subspace fitting
This document summarizes a study on multipath channel delay estimation using subspace fitting. It presents a signal model that characterizes the multipath channel using clusters of components. It describes the challenges of delay estimation when components are dense and unresolved. It then analyzes the effects of unresolved components on delay estimation bias using approximations of the channel vector and subspace perturbations. Numerical simulations examine delay estimation root mean square error under different scenarios where component delays and powers are varied. The results show increasing error as delays become closer and powers lower relative to the line-of-sight component.
CAPACITIVE SENSORS ELECTRICAL WAFER SORT
This document discusses testing capacitive sensors using electrical measurements. It describes an electrical model of a capacitive sensor and how its capacitance varies with applied bias voltage. Methods are presented for testing for leakage currents, measuring the capacitance-voltage relationship, and determining the sensor's dynamic behavior by analyzing its resonant frequency and quality factor. Requirements for the test setup include using a capacitance meter, waveform generator, and digitizer configured for Fourier analysis to isolate the sensor's motional signal from background terms in its output current spectrum. Calibration procedures are also outlined to compensate for stray capacitances in the test circuit.
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https://hal.science/hal-04582287
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�
(
�
−
�
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0.9
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19
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Tim lucas-id2ox
- 1. Estimating abundance from camera traps and acoustic sensors Tim C.D. Lucas & Elizabeth A. Moorcroft CoMPLEX, UCL @timcdlucas @statsforbios
- 8. Sensor p vt = velocity x time
- 9. Sensor p vt = velocity x time
- 11. Sensor p Area = pvt z = Dpvt
- 12. Sensor p vt = velocity x time
- 13. Sensor θ α r p = ?
- 14. Sensor Angle, θ CallAngle,α gas NW1REM NE1 NE2NE3 NW2 NW3 NW4 NW5 NW6 NW7 SE1 SE2SE3 SE4 SW1 SW2 SW3 SW4 SW5 SW6 SW7 SW8 SW9 0 π 2π 0π2π
- 15. αp = 2 r sin 2
- 18. Sensor Angle, θ CallAngle,α 0 π 2π 0π2π r π θ − cos α 2 + 1 r π θ sin α 2 − cos α 2 + 1 r π (θ + 2) 2r 2r sin α 2 r π θ − cos α 2 + cos α 2 + θ r π θ + 2 sin θ 2 r π θ sin α 2 − cos α 2 + cos α 2 + θ Expressions for ¯p
- 19. Sensor Angle, θ CallAngle,α 0 π 2π 0π2π r π θ − cos α 2 + 1 r π θ sin α 2 − cos α 2 + 1 r π (θ + 2) 2r 2r sin α 2 r π θ − cos α 2 + cos α 2 + θ r π θ + 2 sin θ 2 r π θ sin α 2 − cos α 2 + cos α 2 + θ D = z/(¯pvt)
- 20. Simulations
- 23. Sensor Angle, θ CallAngle,α π 2π 0π2π 0.5 1.0 1.5 2.0 2.5 3.0 3.5 SDofErrors
- 24. 20 40 60 80 100 −70070 NW1 20 40 60 80 100 −70070 SW1 20 40 60 80 100 −70070 SE3 20 40 60 80 100 −70070 NE1 Number of captures Percentageerror
- 25. −0.20.00.20.40.60.8 Correlated Walk Percentageerror 0 π 3 2π 3 π NW SW NE SE
- 26. 0 0.25 0.5 0.75 −404 NW1 0 0.25 0.5 0.75 −404 SW1 0 0.25 0.5 0.75 −404 SE3 0 0.25 0.5 0.75 −404 NE1 Proportion of time spent stationary PercentageError
- 27. Any Questions ? Tim C.D. Lucas & Elizabeth A. Moorcroft @timcdlucas @statsforbios Sensor Angle, θ CallAngle,α 0 π 2π 0π2π r π θ − cos α 2 + 1 r π θ sin α 2 − cos α 2 + 1 r π (θ + 2) 2r 2r sin α 2 r π θ − cos α 2 + cos α 2 + θ r π θ + 2 sin θ 2 r π θ sin α 2 − cos α 2 + cos α 2 + θ