Low Frequency 2012 15th Conference on Low Frequency Noise Stratford-upon-Avon, UK, 22-24 May 2012 Enhanced Perception of Infrasound in the Presence of.

Slides:



Advertisements
Similar presentations
Frequency analysis.
Advertisements

Angelo Farina Dip. di Ingegneria Industriale - Università di Parma Parco Area delle Scienze 181/A, Parma – Italy
Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements Christopher A. Shera, John J. Guinan, Jr., and Andrew J. Oxenham.
Diploma in Aviation Medicine Introduction to Acoustics
Hearing relative phases for two harmonic components D. Timothy Ives 1, H. Martin Reimann 2, Ralph van Dinther 1 and Roy D. Patterson 1 1. Introduction.
Auditory Neuroscience - Lecture 1 The Nature of Sound auditoryneuroscience.com/lectures.
Signal Encoding Techniques (modulation and encoding)
Hearing and Deafness 2. Ear as a frequency analyzer Chris Darwin.
CS 551/651: Structure of Spoken Language Lecture 11: Overview of Sound Perception, Part II John-Paul Hosom Fall 2010.
ME 322: Instrumentation Lecture 21
Chapter 2 Data and Signals
PHYSICS OF SOUND PHYSICS OF SOUND HEARING CONSERVATION PROGRAM 1 28 Jan 2013.
Filtering Filtering is one of the most widely used complex signal processing operations The system implementing this operation is called a filter A filter.
Conquest Innovations, LLC MAX4 Acoustic Performance Summary of Conquest Innovations’ MAX4 Acoustical Performance Evaluation by The ARL Penn State Acoustic.
Complete Discrete Time Model Complete model covers periodic, noise and impulsive inputs. For periodic input 1) R(z): Radiation impedance. It has been shown.
CHAPTER 4 Noise in Frequency Modulation Systems
Chapter 14 – Noise Pollution and Control Hwk#7 review questions – pp #6,8,15,19 practice prob. – p.474 -#2,7,9,15 Noise – is an undesirable and.
It was assumed that the pressureat the lips is zero and the volume velocity source is ideal  no energy loss at the input and output. For radiation impedance:
Sound Synthesis CE 476 Music & Computers. Additive Synthesis We add together different soundwaves sample-by-sample to create a new sound, see Applet 4.3.
PH 105 Dr. Cecilia Vogel Lecture 10. OUTLINE  Subjective loudness  Masking  Pitch  logarithmic  critical bands  Timbre  waveforms.
Chapter 2 : Amplitude Modulation (AM) Transmission and Reception
AGC DSP AGC DSP Professor A G Constantinides 1 Digital Filter Specifications Only the magnitude approximation problem Four basic types of ideal filters.
R3.6.4 Improved Hearing Assessment in Noisy Environments – Parts 1 & 2 Project Leader: Michael Fisher Principal Researcher (Part 1): the late Ben Rudzyn.
ME 322: Instrumentation Lecture 22 March 11, 2015 Professor Miles Greiner.
Ni.com Data Analysis: Time and Frequency Domain. ni.com Typical Data Acquisition System.
ElectroScience Lab IGARSS 2011 Vancouver Jul 26th, 2011 Chun-Sik Chae and Joel T. Johnson ElectroScience Laboratory Department of Electrical and Computer.
Kent Bertilsson Muhammad Amir Yousaf. DC and AC Circuit analysis  Circuit analysis is the process of finding the voltages across, and the currents through,
1 Improved Subjective Weighting Function ANSI C63.19 Working Group Submitted by Stephen Julstrom for October 2, 2007.
Topics covered in this chapter
Chapter 12 Preview Objectives The Production of Sound Waves
GG 313 Lecture 26 11/29/05 Sampling Theorem Transfer Functions.
Sensitivity System sensitivity is defined as the available input signal level Si for a given (SNR)O Si is called the minimum detectable signal An expression.
Acoustics/Psychoacoustics Huber Ch. 2 Sound and Hearing.
Intensity, Intensity Level, and Intensity Spectrum Level
A Rotary Subwoofer as an Infrasonic Source
Dual-Channel FFT Analysis: A Presentation Prepared for Syn-Aud-Con: Test and Measurement Seminars Louisville, KY Aug , 2002.
Speech Enhancement Using Spectral Subtraction
Ping Zhang, Zhen Li,Jianmin Zhou, Quan Chen, Bangsen Tian
Dynamic Range and Dynamic Range Processors
Acoustics. Acoustics is the interdisciplinary science that deals with the study of all mechanical waves in gases, liquids, and solids including vibration,
1 PATTERN COMPARISON TECHNIQUES Test Pattern:Reference Pattern:
Industrial Wind Farm Noise Thor Vandehei, PhD (Physics, UCSD) FLPA Finger Lakes Preservation Association.
1 Loudness and Pitch Be sure to complete the loudness and pitch interactive tutorial at … chophysics/pitch/loudnesspitch.html.
David Meredith Aalborg University
Chapter 7: Loudness and Pitch. Loudness (1) Auditory Sensitivity: Minimum audible pressure (MAP) and Minimum audible field (MAF) Equal loudness contours.
Angelo Farina Dip. di Ingegneria Industriale - Università di Parma Parco Area delle Scienze 181/A, Parma – Italy
Authors: Sriram Ganapathy, Samuel Thomas, and Hynek Hermansky Temporal envelope compensation for robust phoneme recognition using modulation spectrum.
Sound
Image Processing Architecture, © 2001, 2002, 2003 Oleh TretiakPage 1 ECE-C490 Image Processing Architecture MP-3 Compression Course Review Oleh Tretiak.
BA , 1 Basic Frequency Analysis of Sound Contents: Frequency and Wavelength Frequency Analysis Perception of Sound.
Doc.: IEEE /0553r1 Submission May 2009 Alexander Maltsev, Intel Corp.Slide 1 Path Loss Model Development for TGad Channel Models Date:
The human auditory system
Loudness level (phon) An equal-loudness contour is a measure of sound pressure (dB SPL), over the frequency spectrum, for which a listener perceives a.
Hearing Detection Loudness Localization Scene Analysis Music Speech.
Lanjutan…materi 3 Noise Measurement. 2 Dept. of Mech. Engineering University of Kentucky Equal Loudness Contours Sound level meters incorporate frequency.
November, 2008 Bermuda ITW Numerical Simulation of Infrasound Propagation, including Wind, Attenuation, Gravity and Non-linearity Catherine de Groot-Hedlin.
Signal Analyzers. Introduction In the first 14 chapters we discussed measurement techniques in the time domain, that is, measurement of parameters that.
WAVELET NOISE REMOVAL FROM BASEBAND DIGITAL SIGNALS IN BANDLIMITED CHANNELS Dr. Robert Barsanti SSST March 2010, University of Texas At Tyler.
15 January 2015 Add Presentation Title in Footer via ”Insert”; ”Header & Footer” Latest research on Wind Turbine Noise Take away from EWEA works shop on.
Physics Mrs. Dimler SOUND.  Every sound wave begins with a vibrating object, such as the vibrating prong of a tuning fork. Tuning fork and air molecules.
It’s All Noise Lee Hager, COHC 3M Lee Hager, COHC 3M © 3M All Rights Reserved.
Noise & Sound Graeme Murphy – National Brand Manager, Industrial Equipment.
PATTERN COMPARISON TECHNIQUES
CS 591 S1 – Computational Audio
Sound & Sound Waves.
Uses of filters To remove unwanted components in a signal
DATA COMMUNICATION Lecture-13.
AMPLITUDE MODULATION (AM)
New Subjective Weighting Function
New Subjective Weighting Function
Presentation transcript:

Low Frequency th Conference on Low Frequency Noise Stratford-upon-Avon, UK, May 2012 Enhanced Perception of Infrasound in the Presence of Low-Level Uncorrelated Low-Frequency Noise Dr M.A.Swinbanks, MAS Research Ltd.

The Problem: 2008 T.H.Pedersen * (DELTA) Emphasized that Different Resolutions of the Same Wind Turbine Spectra lead to Different Conclusions Data: March dBA 1500ft (Following Convention of Pedersen 2008) “……. it can be seen that a direct comparison of the hearing threshold and the spectrum of the wind turbine is not meaningful……” * “ …….. have been discussed with a number of researchers (Henrik Moller, Aaborg University, Torsten Dau, Danish Technical University, Hugo Fastl and Geoff Leventhall) and solutions have been sought for without result.” * Spectra: 1/1 Octave 1/3 Octave 1/6 Octave 1/24 Octave 1Hz FFT 0.1Hz FFT Pure Tone Hearing Threshold 1Hz 10Hz 100Hz 400Hz Sound Pressure Level dB/bandwidth ] Figure 1 MAS Research Ltd.

Figure 2 MAS Research Ltd. Pedersen proposed Weighting the Frequency Spectra with the Inverse Hearing Threshold (HT-Weighting) So Hearing Threshold becomes a Straight Line at 0dB Integrating Spectra of Differing Resolution over 2 Lowest Critical Bands i.e. < 100Hz, & Hz yields 2 Consistent Values which can be Compared to Threshold. But still does not define Frequency where Threshold is Crossed

MAS Research Ltd. Present Author Proposed Using a Running (Cumulative) Integration Condenses All Spectra to a Common Rising Curve, which Intersects 0dB Threshold at Well-Defined Frequency 75% of Perceived Energy lies within -6dB of Threshold At 0dB Intersection, total Perceived Energy equals Energy of Perceived Sine Wave at Threshold Figure 3

Figure 4 MAS Research Ltd. Mean Energy (rms Level) fails to take account of Peak Levels & Crest Factor Examine Time Domain response to quantify Peak Levels re Threshold

Simulate Infrasonic Impulse ~ NASA 1989, for Upwind-Rotor Turbine in Wind- Gradient & Shadowing Filter Time-Series with Simulated Hearing Response Figure 5 MAS Research Ltd. +ve Peak for Pure Tone –ve Peak for Pure Tone

Figure 6 MAS Research Ltd. Evaluate Cumulative Spectra for Waveforms which match Pure Tone Limits Indicates Sound is Perceptible at rms Levels lower than 0dB Pure Tones Results Consistent with 1982 NASA Hearing Tests for Noisy Impulsive Turbines

Figure 7 MAS Research Ltd. Present Investigation: Introduce Non-Linear Time-Domain Threshold at Output of Hearing-Filter Consider 3 Alternative Implementations of Threshold

Figure 8 MAS Research Ltd. Output Amplitude of Alternative Thresholds, for Sine Wave Input Signal goes toward Zero below Threshold Level Threshold Characteristics Normalized to Yield -6dB Output just below 0dB Input Level

Frequency Hz Figure 9 MAS Research Ltd. 1/3 rd Octave Input Spectra for Numerical Simulation of Threshold Interactions (1) Infrasonic/Low Frequency Gaussian Random Signal, Band-Limited 15-25Hz, Amplitude -12dB re Threshold (2) Additional Gaussian Random Noise, 50Hz-90Hz Amplitude Varied from -20dB to +6dB re Threshold

Effect of Progressively Increasing Noise Component (a)(b) (c)(d) Figure 10 MAS Research Ltd. Progressively Increasing the Amplitude of the Higher Frequency Noise causes Fixed Amplitude Low-Level Signal to Appear in the Output

Figure 11 MAS Research Ltd. For Maximum (+6dB) Audible Noise, Threshold Signal Output Compares Closely to Linear Signal prior to Threshold, when Filtered 10Hz - 30Hz Note: Maximum Signal Amplitude is well below Threshold Level

Figure 12 MAS Research Ltd. * Yasunao Matsumoto, Yukio Takahshi, Setsuo Maeda, Hiroki Yamaguchi, Kazuhiro Yamada, & Jishnu Subedi. An Investigation of the Perception Thresholds of Band-Limited Low Frequency Noises: Influence of Bandwidth. Journal of Low Frequency Noise Vibration and Active Control, Japanese Laboratory Investigation of Perception Thresholds Three Infrasonic/Low Frequency Test Spectra, with Roll-Offs at 10Hz, 20Hz & 40Hz Test Subjects could Identify Them Separately, Despite their Differences being well below the Hearing Threshold * Suggests Higher Frequency Audible Noise Enabled Discrimination

Figure 13 MAS Research Ltd. Application of Time-Domain Procedure to Infrasonic/Low-Frequency Wind- Turbine Noise Measured in the Bedroom of a House Peak Sound Pressure Levels 88-90dB, rms SPL 77dB, Crest Factor ~ 11-12dB. Directly Downwind of 6 Separate Wind-Turbines, nearest at 1500 ft, farthest at 1.2 miles. Attenuation of -3dB per Doubling of Distance. Peak Level ‘4’ 88dB SPL

Figure 14 MAS Research Ltd. Lift-Force Impulse acting on a Turbine-Blade represents an Impulsive Acoustic Dipole. Sound radiated is proportional to Time-Derivative of Dipole, so has both +ve & -ve components Wind Turbine Spectrum Indoors, 0.1Hz Resolution. Compare to Acoustic Spectrum from Idealised Periodic Impulsive Lift-Forces.

(a)(b) Figure 15 MAS Research Ltd. 0.1Hz Bandwidth Spectra for Simulated Hearing-Response to Wind Turbines (Indoors). Red Curve: Ideal Linear Response Prior to Threshold Green Curve: Actual Threshold Output (a)Threshold at -8dB (10% Young Adults). Comparison of 3 Different Threshold Implementations, (b)Threshold at -12dB (2.5% All Adults)

Figure 16 MAS Research Ltd. Simulated Time-Domain Hearing-Response after Threshold, Filtered 5Hz-20Hz a)Threshold at -8dB (10% Young Adults) b)Threshold at -12dB (2.5% All Adults) (+/- RMS Amplitude for -12dB Shown) Red: Ideal Linear Response before Threshold Green: Actual Threshold Output

Figure 17 Octave Band Wind-Turbine Sound Pressure Level Inside House (Red) compared to 1982 NASA Perspective * MAS Research Ltd. * D.G.Stevens, K.P.Shepherd, H.H.Hubbard, F.W.Grosveld, Guide to the Evaluation of Human Exposure to Noise from Large Wind Turbines, NASA TM83288, March 1982

Summary & Conclusions Methodical Assessment of the Audibility & Perception of Infrasound & Low-Frequency Noise : 1.Derive Initial Estimate of Transition to Audibility, by Equating Cumulative HT-Weighted Spectrum to Equivalent Energy of Single Sine-Wave at Threshold 2.Modify Estimate by allowing for Increased Crest Factor 3.Allow for Non-Linear Threshold Interaction leading to Enhanced LF Perception, induced by Higher Frequency, Just-Audible Noise. Results are consistent with NASA Perspective of Infrasound/Low-Frequency Perception within Buildings Japanese Laboratory Investigation of Infrasound/Low-Frequency Perception Thresholds MAS Research Ltd. Results Indicate: Impulsive Infrasound from Modern Upwind-Rotor Wind Turbines can be Perceptible Indoors, under Low, Audible Background Conditions