Modelling Cyclists' Multi-Exposure to Air and Noise Pollution with Low

Total Page:16

File Type:pdf, Size:1020Kb

Modelling Cyclists' Multi-Exposure to Air and Noise Pollution with Low atmosphere Article Modelling Cyclists’ Multi-Exposure to Air and Noise Pollution with Low-Cost Sensors—The Case of Paris Jérémy Gelb and Philippe Apparicio * Institut National de la Recherche Scientifique, Centre Urbanisation Culture Société, Montréal, QC H2X 1E3, Canada; [email protected] * Correspondence: [email protected] Received: 5 March 2020; Accepted: 19 April 2020; Published: 22 April 2020 Abstract: Cyclists are particularly exposed to air and noise pollution because of their higher ventilation rate and their proximity to traffic. However, few studies have investigated their multi-exposure and have taken into account its real complexity in building statistical models (nonlinearity, pseudo replication, autocorrelation, etc.). We propose here to model cyclists’ exposure to air and noise pollution simultaneously in Paris (France). Specifically, the purpose of this study is to develop a methodology based on an extensive mobile data collection using low-cost sensors to determine which factors of the urban micro-scale environment contribute to cyclists’ multi-exposure and to what extent. To this end, we developed a conceptual framework to define cyclists’ multi-exposure and applied it to a multivariate generalized additive model with mixed effects and temporal autocorrelation. The results show that it is possible to reduce cyclists’ multi-exposure by adapting the planning and development practices of cycling infrastructure, and that this reduction can be substantial for noise exposure. Keywords: cyclist; exposure; multi-exposure; noise; air pollution; NO2; Bayesian modelling; spatial analysis; Paris 1. Introduction Environmental noise and air pollution are two growing issues in cities. Their impacts on health and population well-being are now widely acknowledged. In its latest report on environmental noise in Europe, the World Health Organization (WHO) recognized it as one of the main environmental risks in cities. Two types of health impacts are distinguished: the auditory effects (hearing loss and tinnitus) and non-auditory effects linked to annoyance and stress generated by exposure to noise (physiological distress, disturbance of the organism’s homeostasis, increasing allostatic load, sleep loss, concentration difficulties, etc.) [1–5]. The latter are important if the exposure is chronic and prolonged. For example, the WHO guideline development group identified two priority health outcome lines of evidence for the road traffic noise. The first threshold value of 53.3 Lden corresponds to an absolute risk of 10% for the prevalence of a highly annoyed population. The second one of 59.3 dB Lden corresponds to an increase of 5% of the relative risk for the incidence of ischemic heart disease [3]. The case of air pollution is more complex because air pollutants are numerous. Research distinguishes gaseous pollutants and vapors (e.g., NO2,O3, CO2, CO, COVs, etc.) from particulate matter (fine: PM2.5 and coarse: PM10). The health impacts of these pollutants are numerous: nausea, breathing difficulties, skin and respiratory tract irritations, development of certain types of cancer, birth defects, delayed development in children, reduced immune system activity, etc. [6]. The WHO identifies nitrogen dioxide (NO2), particulate matter (fine: PM2.5 and coarse: PM10), ozone (O3), and sulphur dioxide (SO2) as the pollutants with the strongest impact on health. For NO2 (measured in Atmosphere 2020, 11, 422; doi:10.3390/atmos11040422 www.mdpi.com/journal/atmosphere Atmosphere 2020, 11, 422 2 of 21 Atmosphere 2020, 11, x FOR PEER REVIEW 2 of 22 this study), the WHO advises not exceeding a mean value of 200 µg/m3 in an hour, as exposure above not exceeding a mean value of 200 µg/m3 in an hour, as exposure above this level causes significant inflammationthis level causes of airways significant [7]. inflammation of airways [7]. 1.1. Cyclists’ Exposure and Transport Justice 1.1. Cyclists’ Exposure and Transport Justice Cyclists are particularly exposed to these pollutions. Indeed, they do not have a cabin or an Cyclists are particularly exposed to these pollutions. Indeed, they do not have a cabin or an air air conditioning system to protect them. A considerable body of literature has compared the levels conditioning system to protect them. A considerable body of literature has compared the levels of of exposure to air pollution according to the mode of transportation. Studies have concluded that exposure to air pollution according to the mode of transportation. Studies have concluded that the differencesthe differences in terms in terms of exposure of exposure are inconsistent are inconsistent [8]. However, [8]. However, when the when ventilation the ventilation rate is taken rate into is account,taken into it is account, clear that it iscyclists clear inhale that cyclists more air inhale pollutants more airthan pollutants other road than user others. In a road recent users. literature In a review,recent literatureCepeda et review,al. [9] have Cepeda found et that al. [car9] haveusers foundinhaled that an average car users of inhaledonly 16% an of averagethe total ofdose only inhaled 16% byof thecyclists total for dose similar inhaled trips. by Less cyclists information for similar is avai trips.lable Less for informationexposure to noise, is available but Okokon for exposure et al. [10] to havenoise, foundbut Okokon that, on etaverage, al. [10] cyclishavets found are exposed that, on to average, 6 more cyclistsdB(A) than are exposedcar usersto in6 Helsinki more dB(A) (Finland), than andcar users4.0 in inThessaloniki Helsinki (Finland), (Greece), andon average 4.0 in Thessaloniki for similar trips, (Greece), and Apparicio on average et foral. similar[11] have trips, found and a differenceApparicio of et 1.92 al. [ 11(LAeq,1min] have) foundin Montreal a diff erence(Canada). of 1.92 (LAeq,1min) in Montreal (Canada). TheThe second second main main cause cause of of cyclists’ cyclists’ overexposure overexposure is their is their direct direct proximity proximity to a to major a major source source of air of and air noiseand noise pollution, pollution, i.e., road i.e., roadtraffic. tra Thisffic. Thisproximity proximity is reinforced is reinforced by planning by planning policies policies encouraging encouraging road sharing.road sharing. In Paris, In this Paris, is thisstriking is striking when one when observes one observes the development the development of the bicycle of the network bicycle network [12]. In 2001, [12]. theIn 2001,city permitted the city permitted cyclists to cyclists use bu tos lanes use busand lanes in 2010, and many in 2010, one-way many streets one-way were streets opened were to opened cyclists toin bothcyclists directions in both (Figure directions 1). These (Figure two1). breaks These represent two breaks major represent increases major in available increases cycling in available infrastructures, cycling butinfrastructures, this raises the but question this raises of the the quality question of ofthese the qualityinfrastructures of these and infrastructures the closeness and to thetraffic closeness that they to entail.traffic that they entail. FigureFigure 1. 1.The The developmentdevelopment ofof a cycling network in Paris Paris between between 1995 1995 and and 2017. 2017. Cyclists’Cyclists’ overexposure overexposure supports supports the the statements statements of Göss of Gösslingling [13] on [13 transportation] on transportation justice. justice. The bicycle The isbicycle a durable is a durable mode modeof transport of transport and helps and helps to redu to reducece congestion, congestion, environmental environmental noise, noise, emission emission of greenhouseof greenhouse gas, gas, and andhealth health costs. costs. Yet only Yet a only minor a minor portion portion of the space of the dedicated space dedicated to transport to transport is used for is cyclingused for infrastructure, cycling infrastructure, and cyclists and are cyclists overexposed are overexposed to urban nuisances. to urban nuisances. Unfortunately,Unfortunately, the the problem problem of of cycl cyclists’ists’ exposure exposure isis rarely rarely consider considereded in inthe the current current planning planning of cyclingof cycling infrastructure. infrastructure. The TheLondon London Quietways, Quietways, which which provide provide cyclists cyclists with routes with routesthat are that quiet are and quiet far fromand fartraffic from [14], traffi constitutec [14], constitute an inspiring an inspiring example example which deserves which deserves special specialmention. mention. Yet, new Yet, studies new suggeststudies that suggest the risk that induced the risk by induced air pollution by air pollutioncould be higher could than be higher that of than road that accidents. of road As accidents. an example, As Künzlian example, et al. Künzli[15], using et al. cohort [15], usingdata, cohorthave attribut data, haveed twice attributed the number twice of the deaths number to ofair deaths pollution to air in comparisonpollution in to comparison road accidents to road in Europe. accidents More inEurope. specifically, More in specifically, Paris, Praznoczy in Paris, [16] Praznoczy has found [that16] has the risksfound associated that the risks with associatedexposure to with air exposurepollution toare air considerably pollution are higher considerably than those higher from than road those accidents. from Nonetheless,road accidents. they Nonetheless, conclude that they all these conclude risks thatremain all thesesmall in risks comparison remain small
Recommended publications
  • Grey Noise, Dubai Unit 24, Alserkal Avenue Street 8, Al Quoz 1, Dubai
    Grey Noise, Dubai Stéphanie Saadé b. 1983, Lebanon Lives and works between Beirut, Paris and Amsterdam Education and Residencies 2018 - 2019 3 Package Deal, 1 year “Interhistoricity” (Scholarship received from the AmsterdamFonds Voor Kunst and the Bureau Broedplaatsen), In partnership with Museum Van Loon Oude Kerk, Castrum Peregrini and Reinwardt Academy, Amsterdam, Netherlands 2018 Studio Cur’art and Bema, Mexico City and Guadalajara 2017 – 2018 Maison Salvan, Labège, France Villa Empain, Fondation Boghossian, Brussels, Belgium 2015 – 2016 Cité Internationale des Arts, Paris, France (Recipient of the French Institute residency program scholarship) 2014 – 2015 Jan Van Eyck Academie, Maastricht, The Netherlands 2013 PROGR, Bern, Switzerland 2010 - 2012 China Academy of Arts, Hangzhou, China (State-funded Scholarship for post- graduate program) 2005 – 2010 École Nationale Supérieure des Beaux-Arts, Paris, France (Diplôme National Supérieur d’Arts Plastiques) Awards 2018 Recipient of the 2018 NADA MIAMI Artadia Art Award Selected Solo Exhibitions 2020 (Upcoming) AKINCI Gallery, Amsterdam, Netherlands 2019 The Travels of Here and Now, Museum Van Loon, Amsterdam, Netherlands with the support of Amsterdams fonds voor de Kunst The Encounter of the First and Last Particles of Dust, Grey Noise, Dubai L’espace De 70 Jours, La Scep, Marseille, France Unit 24, Alserkal Avenue Street 8, Al Quoz 1, Dubai, UAE / T +971 4 3790764 F +971 4 3790769 / [email protected] / www.greynoise.org Grey Noise, Dubai 2018 Solo Presentation at Nada Miami with Counter
    [Show full text]
  • Best LIFE Environment Projects 2015
    RONM VI EN N T E P E R O F I J L E C T T S S E B Best LIFE Environment projects 2015 LIFE Environment Environment LIFE ENVIRONMENT | BEST LIFE ENVIRONMENT PROJECTS 2015 EUROPEAN COMMISSION ENVIRONMENT DIRECTORATE-GENERAL LIFE (“The Financial Instrument for the Environment”) is a programme launched by the European Commission and coordinated by the Environment and Climate Action Directorates-General. The Commission has delegated the im- plementation of many components of the LIFE programme to the Executive Agency for Small and Medium-sized Enterprises (EASME). The contents of the publication “Best LIFE Environment Projects 2015” do not necessarily reflect the opinions of the institutions of the European Union. Authors: Gabriella Camarsa (Environment expert), Justin Toland, Jon Eldridge, Wendy Jones, Joanne Potter, Stephen Jones, Stephen Nottingham, Marianne Geater, Isabelle Rogerson, Derek McGlynn, Carlos de la Paz (NEEMO EEIG), Eva Martínez (NEEMO EEIG, Communications Team Coordinator). Managing Editor: Hervé Martin (European Commission, Environment DG, LIFE D.4). LIFE Focus series coordination: Simon Goss (LIFE Communications Coordinator), Valerie O’Brien (Environment DG, Publications Coordinator). Technical assistance: Chris People, Luule Sinnisov, Cristóbal Gines (NEEMO EEIG). The following people also worked on this issue: Davide Messina, François Delceuillerie (Environment DG, LIFE Unit), Giulia Carboni (EASME, LIFE Unit). Production: Monique Braem (NEEMO EEIG). Graphic design: Daniel Renders, Anita Cortés (NEEMO EEIG). Photos database: Sophie Brynart (NEEMO EEIG). Acknowledgements: Thanks to all LIFE project beneficiaries who contributed comments, photos and other useful material for this report. Photos: Unless otherwise specified; photos are from the respective pro- jects. For reproduction or use of these photos, permission must be sought directly from the copyright holders.
    [Show full text]
  • ACCESSORIES and BATTERIES MTX Professional Series Portable Two-Way Radios MTX Series
    ACCESSORIES AND BATTERIES MTX Professional Series Portable Two-Way Radios MTX Series Motorola Original® Accessories let you make the most of your MTX Professional Series radio’s capabilities. You made a sound business decision when you chose your Motorola MTX Professional Series Two-Way radio. When you choose performance-matched Motorola Original® accessories, you’re making another good call. That’s because every Motorola Original® accessory is designed, built and rigorously tested to the same quality standards as Motorola radios. So you can be sure that each will be ready to do its job, time after time — helping to increase your productivity. After all, if you take a chance on a mismatched battery, a flimsy headset, or an ill-fitting carry case, your radio may not perform at the moment you have to use it. We’re pleased to bring you this collection of proven Motorola Original® accessories for your important business communication needs. You’ll find remote speaker microphones for more convenient control. Discreet earpiece systems to help ensure privacy and aid surveillance. Carry cases for ease when on the move. Headsets for hands-free operation. Premium batteries to extend work time, and more. They’re all ready to help you work smarter, harder and with greater confidence. Motorola MTX Professional Series radios keep you connected with a wider calling range, faster channel access, greater privacy and higher user and talkgroup capacity. MTX PROFESSIONAL SERIES PORTABLE RADIOS TM Intelligent radio so advanced, it practically thinks for you. MTX Series Portable MTX850 Two-Way Radios are the smart choice for your business - delivering everything you need for great business communication.
    [Show full text]
  • Deblured Gaussian Blurred Images
    JOURNAL OF COMPUTING, VOLUME 2, ISSUE 4, APRIL 2010, ISSN 2151-9617 HTTPS://SITES.GOOGLE.COM/SITE/JOURNALOFCOMPUTING/ 33 Deblured Gaussian Blurred Images Mr. Salem Saleh Al-amri1, Dr. N.V. Kalyankar2 and Dr. Khamitkar S.D 3 Abstract—This paper attempts to undertake the study of Restored Gaussian Blurred Images. by using four types of techniques of deblurring image as Wiener filter, Regularized filter ,Lucy Richardson deconvlutin algorithm and Blind deconvlution algorithm with an information of the Point Spread Function (PSF) corrupted blurred image with Different values of Size and Alfa and then corrupted by Gaussian noise. The same is applied to the remote sensing image and they are compared with one another, So as to choose the base technique for restored or deblurring image.This paper also attempts to undertake the study of restored Gaussian blurred image with no any information about the Point Spread Function (PSF) by using same four techniques after execute the guess of the PSF, the number of iterations and the weight threshold of it. To choose the base guesses for restored or deblurring image of this techniques. Index Terms—Blur/Types of Blur/PSF; Deblurring/Deblurring Methods. —————————— —————————— 1 INTRODUCTION he restoration image is very important process in the image entire image. Tprocessing to restor the image by using the image processing This type of blurring can be distribution in horizontal and vertical techniques to easily understand this image without any artifacts direction and can be circular averaging by radius
    [Show full text]
  • Portable Radio: Headsets XTS 3000, XTS 3500, XTS 5000, XTS 1500, XTS 2500, MT 1500, and PR1500
    portable radio: headsets XTS 3000, XTS 3500, XTS 5000, XTS 1500, XTS 2500, MT 1500, and PR1500 Noise-Cancelling Headsets with Boom Microphone Ideal for two-way communication in extremely noisy environments. Dual-Muff, tactical headsets RMN4052A include 2 microphones on outside of earcups which reproduce ambient sound back into headset. Harmful sounds are suppressed to safe levels and low sounds are amplified up to 5 times original level, but never more than 82dB. Has on/off volume control on earcups. Easily replaceable ear seals are filled with a liquid and foam combination to provide excellent sealing and comfort. 3-foot coiled cord assembly included. Adapter Cable RKN4095A required. RMN4052A Tactical Headband Style Headset. Grey, Noise reduction = 24dB. RMN4053A Tactical Hardhat Mount Headset. Grey, Noise reduction = 22dB. RKN4095A Adapter Cable with In-Line Push-to-Talk For use with RMN4051B/RMN4052A/RMN4053A. REPLACEMENTEARSEALS RLN4923B Replacement Earseals for RMN4051B/RMN4052A/RMN4053A Includes 2 snap-in earseals. Hardhat Mount Headset With Noise-Cancelling Boom Microphone RMN4051B Ideal for two-way communication in high-noise environments, this headset mounts easily to hard- hats with slots, or can be worn alone. Easily replaceable ear seals are filled with a liquid and foam combination to provide excellent sealing and comfort. 3-foot coiled cord assembly included. Noise reduction of 22dB. Separate In-line PTT Adapter Cable RKN4095A required. Hardhat not included. RMN4051B* Two-way, Hardhat Mount Headset with Noise-Cancelling Boom Microphone. Black. RKN4095A Adapter cable with In-Line PTT. For use with RMN4051B/RMN4052A/RMN4053A. Medium Weight Headsets Medium weight headsets offer high-clarity sound, with the additional hearing protection necessary to provide consistent, clear, two-way radio communication in harsh, noisy environments or situations.
    [Show full text]
  • Vertical Magnetic Noise in the Voice Frequency Band Within and Above Coal Mines
    Report of Investigations 8828 Vertical Magnetic Noise in the Voice Frequency Band Within and Above Coal Mines By John Durkin UNITED STATES DEPARTMENT OF THE INTERIOR William P. Clark, Secretary BUREAU OF MINES Robert C. Horton, Director Library of Congress Cataloging in Publication Data: Durkin, John Vertical magnetic noise in the voice frequency band within and above coal mines. (Report of investigations ; 8828) Bibliography: p. 21-22. Supt. of Docs. no.: I 28.23:8828. 1. Coal mines and mining-Communication systems. 2. Electromag- netic noise. 3. Voice frequency. I. Title. 11. Series: Report of in- vestigations (United States. Bureau of Mines) ; 8828. TN23.U43 [TN344] 622s [622] 83-600 164 CONTENTS Page Abstract ....................................................................... 1 Introduction ................................................................. 2 EM atmospheric noise ........................................................... 2 Noise source ................................................................. 2 Earth-ionosphere waveguide ................................................... 5 Prior atmospheric noise measurements ......................................... 8 Surface vertical magnetic noise .......................................... 9 Underground vertical magnetic noise ...................................... 11 EM vertical magnetic noise field tests ......................................... 12 Noise measuring instrumentation.............................................. 12 Noise data ..................................................................
    [Show full text]
  • LPM Woofer Sample Report
    HTML Report - Klippel GmbH Page 1 of 10 KLIPPEL ANALYZER SYSTEM Report with comments Linear Parameter Measurement (LPM) Driver Name: w2017 midrange Driver Comment: Measurement: LPM south free air Measurement Measureslinear parameters of woofers. Comment : Driver connected to output SPEAKER 2. Overview The Introductory Report illustrates the powerful features of the Klippel Analyzer module dedicated to the measurement of the linear speaker parameters. Additional comments are added to the results of a practical measurement applied to the speaker specified above. After presenting short information to the measurement technique the report comprises the following results • linear speaker parameters + mechanical creep factor • electrical impedance response • mechanical transfer response (voltage to voice coil displacement) • acoustical transfer response (voltage to SPL) • time signals of the speaker variables during measurement • spectra of the speaker variables (fundamental, distortion, noise floor) • summary on the signal statistics (peak value, SNR, headroom,…). MEASUREMENT TECHNIQUE The measurement module identifies the electrical and mechanical parameters (Thiele-Small parameters) of electro-dynamical transducers. The electrical parameters are determined by measuring terminal voltage u(t) and current i(t) and exploiting the electrical impedance Z(f)=U(f)/I(f). The mechanical parameters can either be identified using a laser displacement sensor or by a second (comparative) measurement where the driver is placed in a test enclosure or an additional mass is attached to it. For the first method the displacement of the driver diaphragm is measured in order to exploit the function Hx(f)= X(f)/U(f). So the identification dispenses with a second measurement and avoids problems due to leakage of the test enclosure or mass attachment.
    [Show full text]
  • A Comparative Study of Different Noise Filtering Techniques in Digital Images
    International Journal of Engineering Research and General Science Volume 3, Issue 5, September-October, 2015 ISSN 2091-2730 A COMPARATIVE STUDY OF DIFFERENT NOISE FILTERING TECHNIQUES IN DIGITAL IMAGES Sanjib Das1, Jonti Saikia2, Soumita Das3 and Nural Goni4 1Deptt. of IT & Mathematics,ICFAI University Nagaland, Dimapur, 797112, India, [email protected] 2Service Engineer, Indian export & import office, Shillong- 793003, Meghalaya, India, [email protected] 3Department of IT, School of Technology, NEHU, Shillong-22, Meghalaya, India, [email protected] 4Department of IT, School of Technology, NEHU, Shillong-22, Meghalaya, India, [email protected] Abstract: Although various solutions are available for de-noising them, a detail study of the research is required in order to design a filter which will fulfil the desire aspects along with handling most of the image filtering issues. In this paper we want to present some of the most commonly used noise filtering techniques namely: Median filter, Gaussian filter, Kuan filter, Morphological filter, Homomorphic Filter, Bilateral Filter and wavelet filter. Median filter is used for reducing the amount of intensity variation from one pixel to another pixel. Gaussian filter is a smoothing filter in the 2D convolution operation that is used to remove noise and blur from image. Kuan filtering technique transforms multiplicative noise model into additive noise model. Morphological filter is defined as increasing idempotent operators and their laws of composition are proved. Homomorphic Filter normalizes the brightness across an image and increases contrast. Bilateral Filter is a non-linear edge preserving and noise reducing smoothing filter for images. Wavelet transform can be applied to image de-noising and it has been extremely successful.
    [Show full text]
  • Demodulation, Bit-Error Probability and Diversity Arrangements
    RADIO SYSTEMS – ETIN15 Lecture no: 6 Demodulation, bit-error probability and diversity arrangements Anders J Johansson, Department of Electrical and Information Technology [email protected] 5 April 2017 1 Contents • Receiver noise calculations [Covered briefly in Chapter 3 of textbook!] • Optimal receiver and bit error probability – Principle of maximum-likelihood receiver – Error probabilities in non-fading channels – Error probabilities in fading channels • Diversity arrangements – The diversity principle – Types of diversity – Spatial (antenna) diversity performance 5 April 2017 2 RECEIVER NOISE 5 April 2017 3 Receiver noise Noise sources The noise situation in a receiver depends on several noise sources Noise picked up Wanted by the antenna signal Output signal Analog Detector with requirement circuits on quality Thermal noise 5 April 2017 4 Receiver noise Equivalent noise source To simplify the situation, we replace all noise sources with a single equivalent noise source. Wanted How do we determine Noise free signal N from the other sources? N Output signal C Analog Detector with requirement circuits on quality Noise free Same “input quality”, signal-to-noise ratio, C/N in the whole chain. 5 April 2017 5 Receiver noise Examples • Thermal noise is caused by random movements of electrons in circuits. It is assumed to be Gaussian and the power is proportional to the temperature of the material, in Kelvin. • Atmospheric noise is caused by electrical activity in the atmosphere, e.g. lightning. This noise is impulsive in its nature and below 20 MHz it is a dominating. • Cosmic noise is caused by radiation from space and the sun is a major contributor.
    [Show full text]
  • Reliability of Atmospheric Radio Noise Predictions L
    JOURNAL OF RESEARCH of the National Bureau of Standards- D. Radio Propagation Vol. 650 , No.6, November- December 1961 Reliability of Atmospheric Radio Noise Predictions l John R. Herman Contribution from AVCO Corporation, Research and Advanced Development Division, Geophysics Section, 201 Lowell Street, Wilmington, Mass. (Received May 15, 1961) Measured radio noise values are compared with the corresponding International Radio Consultative Committee [C.C.I.R., 1957) predicted values at four noise measuring stations. Five freq uencies between 0.013 and 10.0 Mc/s are considered. The stations selected for this ~t ud y include Balboa, Panama, near t wo major radio noise centers, and Byrd Station, Antarctic, remote from. atmosp heric radio noise sources. It is fouod that the predicted and measured noise levels are in good agreement except at some places and times, where large discrepancies occur. :Most of the disagreements are found at places where the predi ctions are based on extrapolations of data measured at other stations. R easons for the disagree­ men ts are disc u sed. 1. Introduction Becausc the success or failure of communications by radio waves depends upon the signal-to-noise i ratio at the receiver, it has become necessary to obtain some knowledge of the noise levels to be expected. Atmospherically-generated radio noise levels vary with time of day, scason, and geographi­ cal lo cation. Prediction of tbe variations on a worldwide basis have been published in Radio Propagation Unit (R.P.U.) Technical R eport No.5 [1945 1947] and National Bureau of Standards Circular 462 [1948] in terms of t he minimum field stl' e ngth~ r ~ quir e ~ to maintain int ell i~ibl e.
    [Show full text]
  • An Introduction to Opensound Navigator™
    WHITEPAPER 2016 An introduction to OpenSound Navigator™ HIGHLIGHTS OpenSound Navigator™ is a new speech-enhancement algorithm that preserves speech and reduces noise in complex environments. It replaces and exceeds the role of conventional directionality and noise reduction algorithms. Key technical advances in OpenSound Navigator: • Holistic system that handles all acoustical environments from the quietest to the noisiest and adapts its response to the sound preference of the user – no modes or mode switch. • Integrated directional and noise reduction action – rebalance the sound scene, preserve speech in all directions, and selectively reduce noise. • Two-microphone noise estimate for a “spatially-informed” estimate of the environmental noise, enabling fast and accurate noise reduction. The speed and accuracy of the algorithm enables selective noise reduction without isolating the talker of interest, opening up new possibilities for many audiological benefits. Nicolas Le Goff,Ph.D., Senior Research Audiologist, Oticon A/S Jesper Jensen, Ph.D., Senior Scientist, Oticon A/S; Professor, Aalborg University Michael Syskind Pedersen, Ph.D., Lead Developer, Oticon A/S Susanna Løve Callaway, Au.D., Clinical Research Audiologist, Oticon A/S PAGE 2 WHITEPAPER – 2016 – OPENSOUND NAVIGATOR The daily challenge of communication To make sense of a complex acoustical mixture, the brain in noise organizes the sound entering the ears into different Sounds occur around us virtually all the time and they auditory “objects” that can then be focused on or put in start and stop unpredictably. We constantly monitor the background. The formation of these auditory objects these changes and choose to interact with some of the happens by assembling sound elements that have similar sounds, for instance, when engaging in a conversation features (e.g., Bregman, 1990).
    [Show full text]
  • Signal to Noise Ratio (SNR Or S/N) SNR Is the Ratio of the Signal Power to Noise Power
    JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY KAKINADA KAKINADA – 533 001 , ANDHRA PRADESH GATE Coaching Classes as per the Direction of Ministry of Education GOVERNMENT OF ANDHRA PRADESH Analog Communication 26-05-2020 to 06-07-2020 Prof. Ch. Srinivasa Rao Dept. of ECE, JNTUK-UCE Vizianagaram Analog Communication-Day 7, 01-06-2020 Presentation Outline Noise: • Noise and its types • Thermal Noise • Parameters of Noise • Noise in Baseband Communication systems • Gaussian process and NB Noise • Problems 02-06-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 2 Learning Outcomes • At the end of this Session, Student will be able to: • LO 1 : Fundamental aspects of Noise • LO 2 : Different Noise types and its Paraneters • LO 3 : Gaussian Process and ND Noise 02-06-2020 Prof.Ch.Srinivasa Rao, JNTUK UCEV 3 Noise Definitions of Noise: • Noise is unwanted signal that affects wanted signal. • Noise can broadly be defined as any unknown signal that affects the recovery of the desired signal. • Noise is an unwanted signal, which interferes with the original message signal and corrupts the parameters of the message signal. This alteration in the communication process, leads to the message getting altered. It most likely enters at the channel or the receiver. Effect of noise • Degrades system performance (Analog and digital) • Receiver cannot distinguish signal from noise • Efficiency of communication system reduces Most common examples of noise are: • Hiss sound in radio receivers • Buzz sound amidst of telephone conversations • Flicker in television receivers, Noise Sources External Internal Noise Noise Atmospheric Industrial Extraterrestrial Solar Noise Cosmic Noise External Noise : • It is due to Man- made and natural resources • Sources over which we have no control such as thunders, snow fall, lightning etc.
    [Show full text]