Academic literature on the topic 'Long term average spectra'
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Journal articles on the topic "Long term average spectra"
Yüksel, Mustafa, and Bülent Gündüz. "Long term average speech spectra of Turkish." Logopedics Phoniatrics Vocology 43, no. 3 (September 18, 2017): 101–5. http://dx.doi.org/10.1080/14015439.2017.1377286.
Full textMoradi, Negin, Nader Maroufi, Mahmood Bijankhan, Tahereh Hosseinzadeh Nik, Mahyar Salavati, Toktam Jalayer, Seyed Mahmoud Latifi, and Majid Soltani. "Long-Term Average Spectra of Adult Iranian Speakers' Voice." Journal of Voice 28, no. 3 (May 2014): 305–10. http://dx.doi.org/10.1016/j.jvoice.2013.09.002.
Full textByrne, Denis, Harvey Dillon, Khanh Tran, Stig Arlinger, Keith Wilbraham, Robyn Cox, Bjorn Hagerman, et al. "An international comparison of long‐term average speech spectra." Journal of the Acoustical Society of America 96, no. 4 (October 1994): 2108–20. http://dx.doi.org/10.1121/1.410152.
Full textDaugherty, James F. "Choir spacing vs choir formation: Long-term average spectra comparisons." Journal of the Acoustical Society of America 143, no. 3 (March 2018): 1842. http://dx.doi.org/10.1121/1.5036047.
Full textYüksel, Mustafa, and Bülent Gündüz. "Long-term Average Speech Spectra of Postlingual Cochlear Implant Users." Journal of Voice 33, no. 2 (March 2019): 255.e19–255.e25. http://dx.doi.org/10.1016/j.jvoice.2017.10.013.
Full textStilp, Christian. "Short-term, not long-term, average spectra of preceding sentences bias consonant categorization." Journal of the Acoustical Society of America 144, no. 3 (September 2018): 1797. http://dx.doi.org/10.1121/1.5067927.
Full textSergeant, Desmond, and Graham Frederick Welch. "Age-Related Changes in Long-Term Average Spectra of Children's Voices." Journal of Voice 22, no. 6 (November 2008): 658–70. http://dx.doi.org/10.1016/j.jvoice.2007.03.009.
Full textSergeant, Desmond C., and Graham Frederick Welch. "Gender Differences in Long-Term Average Spectra of Children's Singing Voices." Journal of Voice 23, no. 3 (May 2009): 319–36. http://dx.doi.org/10.1016/j.jvoice.2007.10.010.
Full textLinville, Sue Ellen. "Source Characteristics of Aged Voice Assessed from Long-Term Average Spectra." Journal of Voice 16, no. 4 (December 2002): 472–79. http://dx.doi.org/10.1016/s0892-1997(02)00122-4.
Full textNarne, Vijaya Kumar, Sreejith V. S., and Nachiketa Tiwari. "Long-Term Average Speech Spectra and Dynamic Ranges of 17 Indian Languages." American Journal of Audiology 30, no. 4 (December 9, 2021): 1096–107. http://dx.doi.org/10.1044/2021_aja-21-00125.
Full textDissertations / Theses on the topic "Long term average spectra"
劉淑 and Suk-han Lau. "The effect of type and level of noise on long-term average speech spectrum (LTASS)." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31251031.
Full textLau, Suk-han. "The effect of type and level of noise on long-term average speech spectrum (LTASS) /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B17896253.
Full textMitchell, Helen Frances. "Defining vocal quality in female classical singers: pedagogical, acoustical and perceptual studies." University of Sydney. Australian Centre for Applied Research in Music Performance, 2005. http://hdl.handle.net/2123/710.
Full textMaster, Suely [UNIFESP]. "Análise acústica e perceptivo-auditiva da voz de atores e não atores masculinos: long term average spectrum e o "formante do ator"." Universidade Federal de São Paulo (UNIFESP), 2005. http://repositorio.unifesp.br/handle/11600/20991.
Full textFundo de Auxílio aos Docentes e Alunos da UNIFESP (FADA)
O conhecimento das diferenças entre as vozes de atores e não atores, nos seus aspectos perceptivos e acústicos - especialmente por meio do Long-term average spectrum - podem contribuir para o re-direcionamento tanto da avaliação quanto da preparação vocal destes que buscam uma técnica vocal econômica e eficiente, os atores. Não há em nosso meio estudos da voz de atores utilizando o LTAS o objetivo do presente estudo é estabelecer as diferenças entre as vozes de atores e não atores nas loudness habitual, moderada e forte, por meio da análise acústica e perceptiva auditiva e verificar as correlações entre as diferentes variáveis Trata-se de um estudo de desenho transversal, do qual participaram 11 atores e 10 não atores do gênero masculino, tendo no português brasileiro a sua língua-mãe, sem queixas de voz, e com idade variando entre 20 e 60 anos para garantir uma voz madura, fora do período de muda vocal e não presbifônica As variáveis acústicas analisadas foram: nível de pressão sonora médio, proporção alpha, freqüência fundamental, nível de pressão sonora da freqüência fundamental, freqüência do primeiro formante, nível de pressão sonora do primeiro formante, diferença entre LI eLO. Para calcular o nível de pressão sonora médio, a proporção Alpha e a freqüência fundamental, usamos o sistema de análise computadorizada lntelligent Speech Analyser (Raimo Toivonen M. Se. Eng.). Os espectros do LTAS para cada indivíduo foram feitos por meio do Analisador de Sinal HewIlett-Packard 3561A. A extensão de freqüências analisada pelo programa foi de O-10kHz, janelamento Hanning, com resolução de janela de tempo de 40msec e largura de banda de 37.5Hz. Os sons não vozeados, sons fracos, sons da qualidade do /s/ e as pausas foram automaticamente cortados pelo programa. As variáveis perceptivo-auditivas analisadas foram: o grau de projeção, o grau de loudness, e o grau de tensão. Para fazer a avaliação perceptivo-auditiva, as 21 vozes foram gravadas de maneira aleatória em CDs, um para cada loudness. As vozes foram apresentadas para um grupo de 8 fonoaudiólogas especialistas em voz, com mais de 5 anos de profissão, e treino em avaliação perceptiva auditiva Os resultados da análise perceptiva auditiva mostraram diferenças estatisticamente significantes entre os dois grupos, em todas as loudness, na proporção alpha que foi menor para o grupo de atores (p < .001), e no nível de pressão sonora do "formante do ator" que foi maior para atores (p < .001). Na análise perceptiva auditiva, o grau de projeção e de loudness foi maior para atores que para não atores nas três loudness (p <.001). No LTAS, atores apresentaram o "formante do ator" nas três loudness e não atores, nas loudness moderada e forte. Os valores dos "fonnante do ator" para atores foram de -23,4dB, -19,3dB e -19,4dB respectivamente para loudness habitual, moderada e forte e para não atores, -25,4dB e - 24,5dB respectivamente para loudness moderada e forte. Para ambos os grupos, a freqüência central do "fonnante do ator" está em 3.4 kHz Podemos concluir que as vozes de atores e não atores se diferenciaram significativamente tanto na análise acústica quanto na perceptiva auditiva. Algumas variáveis acústicas, proporção alpha e "fonnante do ator", correlacionaram-se significativamente com o grau de loudness da análise perceptivo auditiva. No L T AS dos atores o "fonnante do ator" foi verificado em todas as loudness..
The knowledge about the differences between actors and non actors’ voices, regarding perceptual and acoustic parameters – especially through the Long-term average spectrum – could contribute for a better evaluation and vocal preparation of those who pursue an economic and efficient vocal technique like actors themselves. There are not studies, in our country, of the actors’ voices using LTAS. The objective of the present study is to establish the differences between actors and non actors’ voices in habitual, median and strong loudness through acoustic and perceptual analysis and verify the correlations between the different variables. It is a cross-sectional study with the participation of 11 actors and 10 non actors of the male gender, who had Brazilian Portuguese as their mother tongue, without voice complaints, and within the 20 to 60 age group to ensure a mature voice, out of the vocal mutational period and not yet presbifonic. The acoustic variables analyzed were: sound pressure level, alpha proportion, fundamental frequency, sound pressure level of the fundamental frequency, frequency of the first formant, sound pressure level of the first formant, difference between L1 and L0. To calculate the sound pressure level, alpha proportion and the fundamental frequency, it was used the system of computerized analysis Intelligent Speech Analyser. (Raimo Toivonen M. Sc. Eng.). The LTAS’ spectrums for each individual were done through the Hewllett-Packard 3561A signal analyzer. The frequency range analyzed by the program was 0-10kHz, Hanning window, which gives time window of 40 msec and bandwidth of 37.5 Hz. The program excluded the voiceless sounds, weak sounds, s-kind of sounds and pauses. The perceptual variables analyzed were: degree of projection, degree of loudness and degree of tightness. To allow the perceptual evaluation, the 21 voices were randomly recorded in CDs. The voices were presented to 8 speech therapists specialized in voice, with more than 5 years of experience and trained for perceptual evaluation. The results of the acoustic analysis showed statistically significant differences between the groups in all the loudness, for alpha proportion, that was smaller in the actors group (p <. 001), and the sound pressure level of the “actors formant”, that was greater for actors (p <. 001). In the perceptual analysis the degree of projection and loudness were greater among actors in the three loudness (p <. 001), In the LTAS, actors presented an “actor’s formant” in the three loudness and non-actors in the median and strong loudness. The mean values of the “actor’s formant” in the actors group was -23.4dB, -19.3dB, and -19,4dB in the habitual, median and strong loudness respectively, and in the non actors group, -25.4dB, -24.4dB in the median and strong loudness respectively. For both groups the central frequency of the “actor's formant” was 3.4 kHz. We can conclude that actors and non actor’s voices were significantly differentiated either in the acoustic or in the perceptual analysis. Some acoustic variables, as alpha proportion and “actor’s formant”, significantly correlated with the degree of loudness in the perceptual analysis. The “actor’s formant” in the LTAS was verified for actors in all the three loudness.
BV UNIFESP: Teses e dissertações
Schedin, Oscar. "Target Spectrums For Mastering : A comparison of spectral stylistic conventions between rock and vocal-based electronic music." Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-84660.
Full textKlinkert, Rickard. "Uncertainty Analysis of Long Term Correction Methods for Annual Average Winds." Thesis, Umeå universitet, Institutionen för fysik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-59690.
Full textFör att bygga en vindkraftspark är man i behov av att kartlägga vindresurserna i det aktuella området. Med hjälp av tidsserier från numeriska vädermodeller (NWP), globala assimileringsdatabaser och intilliggande observationer korrigeras de uppmätta vindhastigheterna och vindriktningarna för att motsvara långtidsvärdena av vindförhållandena. Dessa långtidskorrigeringsmetoder (LTC) genomförs generellt sett med hjälp av linjär regression i Mät-korrelera-predikera-metoden (MCP). Denna metod, och två andra metoder, Sektor-bin (SB) och Syntetiska tidsserier (ST), används i denna rapport för att utreda de osäkerheter som är knutna till långtidskorrigering.Det testområde som är valt för analys i denna rapport omfattas av Nordsjöregionen, med 22 meteorologiska väderobservationsstationer i Danmark, Norge och Sverige. Dessa stationer är till största del belägna till havs eller vid kusten. Tidsserierna som används täcker åttaårsperioden från 2002 till 2009, där det året med högst variabilitet i uppmätt vindhastighet, år 2007, används som den korta mätperiod som blir föremål för långtidskorrigeringen. De långa referensdataseten som använts är väderprediktionsmodellen WRF ( Weather Research and Forecast Model), baserad både på data från NCEP/FNL (National Centers for Environmental Prediciton Final Analysis) och ERA-Interim (ECMWF Interim Re-analysis). Dessutom används även data från MERRA (Modern Era Re-Analysis) och satellitobservationer från QuikSCAT. Långtidsperioden för alla dataset utom QuikSCAT omfattar samma period som observationsstationerna. QuikSCAT-datat som använts omfattar perioden 1 november 1999 till 31 oktober 2009.Analysen är indelad i tre delar. Inledningsvis behandlas osäkerheten som är kopplad till referensdatans ingående i långtidskorrigeringsmetoderna. Därefter analyseras osäkerhetens beroende av längden på den samtidiga datan i referens- och observationsdataseten. Slutligen utreds osäkerheten med hjälp av en icke-parametrisk metod, en s.k. Bootstrap: Osäkerheten i SB-metoden för en fast samtidig längd av tidsserierna från observationer och referensdatat uppskattas genom att skapa en generell modell som estimerar osäkerheten i estimatet.Resultatet visar att skillnaden när man använder WRF-modellen baserad både på NCEP/FNL och ERA-Interim i långtidskorrigeringen är marginell och avviker inte markant i förhållande till stationsobservationerna. Resultatet pekar också på att MERRA-datat kan användas som långtidsreferensdataset i långtidsdkorrigeringsmetoderna. Däremot ger inte QuikSCAT-datasetet tillräckligt med information för att avgöra om det går att använda i långtidskorrigeringsmetoderna. Därför föreslås ett annat tillvägagångssätt än stationsspecifika koordinater vid val av koordinater lämpliga för långtidskorrigering. Ytterligare ett resultat vid analys av långtidskorrigeringsmetoden SB, visar att metoden är robust mot variation i korrelationskoefficienten.Rörande osäkerhetens beroende av längden på samtidig data visar resultaten att en sammanhängande mätperiod på ett år eller mer ger den lägsta osäkerheten i årsmedelvindsestimatet, i förhållande till mätningar av kortare slag. Man kan även se att standardavvikelsen av de långtidskorrigerade medelvärdena avtar med längden på det samtidiga datat. Den implementerade ickeparametriska metoden Bootstrap, som innefattar sampling med återläggning, kan inte estimera osäkerheten till fullo. Däremot ger den lovande resultat som föreslås för vidare arbete.
Pascual, Rebecca W. "Diet Quality and Micronutrient Intake in Long-Term Weight Loss Maintainers." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2058.
Full textSohr, Tobias [Verfasser], Sören [Akademischer Betreuer] Christensen, and Paavo Heikki [Gutachter] Salminen. "Contributions to Optimal Stopping and Long-Term Average Impulse Control / Tobias Sohr ; Gutachter: Paavo Heikki Salminen ; Betreuer: Sören Christensen." Kiel : Universitätsbibliothek Kiel, 2020. http://d-nb.info/1220691267/34.
Full textWatanabe, Takashi. "Regret analysis of constrained irreducible MDPs with reset action." Kyoto University, 2020. http://hdl.handle.net/2433/253371.
Full text0048
新制・課程博士
博士(人間・環境学)
甲第22535号
人博第938号
新制||人||223(附属図書館)
2019||人博||938(吉田南総合図書館)
京都大学大学院人間・環境学研究科共生人間学専攻
(主査)准教授 櫻川 貴司, 教授 立木 秀樹, 教授 日置 尋久
学位規則第4条第1項該当
Alrabady, Linda Antoun Yousef. "An online-integrated condition monitoring and prognostics framework for rotating equipment." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9204.
Full textBooks on the topic "Long term average spectra"
Sanders, Geoffrey A. Emission spectrum measurements of a 3.5 GHz LTE hotspot. Washington, D.C: U.S. Department of Commerce, National Telecommunications and Information Administration, Institute of Telecommunication Sciences, 2015.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the Upper Clark Basin from Warm Springs to Missoula, Montana. Denver, Colorado: U. S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textLambing, John H. Estimated 1996-97 and long-term average annual loads for suspended sediment and selected trace metals in streamflow of the upper Clark Fork basin from Warm Springs to Missoula, Montana. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1998.
Find full textMazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.
Full textBook chapters on the topic "Long term average spectra"
Mahieu, H. F., H. K. Schutte, and A. A. Annyas. "Intelligibility, Vocal Intensity, and Long-Term Average Spectra of Groningen Button-Oesophageal Speech." In Speech Restoration Via Voice Prostheses, 139–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71415-3_26.
Full textLahoti, Anshul, Gurugubelli Krishna, Juan Rafel Orozco Arroyave, and Anil Kumar Vuppala. "Long-Term Average Spectral Feature-Based Parkinson’s Disease Detection from Speech." In Lecture Notes in Electrical Engineering, 603–12. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0840-8_46.
Full textArikol, M., and E. Özil. "Predicting Long Term Average Performance of Solar Collectors." In Solar Energy Utilization, 227–54. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3631-7_11.
Full textMendiondo, Marta S., and Richard H. Stockbridge. "Long Term Average Control of a Local Time Process." In Markov Processes and Controlled Markov Chains, 425–41. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4613-0265-0_27.
Full textHelmes, Kurt, Richard H. Stockbridge, and Chao Zhu. "Impulse Control of Standard Brownian Motion: Long-Term Average Criterion." In IFIP Advances in Information and Communication Technology, 148–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45504-3_14.
Full textBellini, Pierfrancesco, Stefano Bilotta, Daniele Cenni, Enrico Collini, Paolo Nesi, Gianni Pantaleo, and Michela Paolucci. "Long Term Predictions of NO2 Average Values via Deep Learning." In Computational Science and Its Applications – ICCSA 2021, 595–610. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87010-2_44.
Full textKrotova, Irina A., and Larissa Melikhova. "Long-Term Average Air Pollution over Cities: Operative Calculation Technique for Elevated Sources." In Air Pollution Modeling and Its Application X, 641–42. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-1817-4_84.
Full textMartín, Fernando, Inmaculada Palomino, and Rosa Salvador. "Influence of the Topography on the Long-Term Average Concentration Computed by Dispersion Models." In Air Pollution Modeling and Its Application X, 647–48. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-1817-4_87.
Full textFowler, D., R. Mourne, and D. Branford. "The Application of210Pb Inventories in Soil to Measure Long-Term Average Wet Deposition of Pollutants in Complex Terrain." In Acid Reign ’95?, 2113–18. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-007-0864-8_40.
Full textSchweiger, Anna K. "Spectral Field Campaigns: Planning and Data Collection." In Remote Sensing of Plant Biodiversity, 385–423. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_15.
Full textConference papers on the topic "Long term average spectra"
Kochetov, Alexei, and Chris Neufeld. "Examining the extent of anticipatory coronal coarticulation: A long-term average spectrum analysis." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4800668.
Full textJavid, Mohammad Hashim, Krishna Gurugubelli, and Anil Kumar Vuppala. "Single Frequency Filter Bank Based Long-Term Average Spectra for Hypernasality Detection and Assessment in Cleft Lip and Palate Speech." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054684.
Full textPortilla-Yandún, Jesús. "Open Access Atlas of Global Spectral Wave Conditions Based on Partitioning." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77230.
Full textShi, Jian, Antoine Joly, Jinhai Zheng, Jisheng Zhang, Tian Chen, and Guofei Chen. "Development of a Sea-State Database in the Northwest Pacific Ocean by Long-Term Numerical Hindcast Modelling." In 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66281.
Full textGandhi, Manan, Yunpeng Pan, Evangelos Theodorou, Pierre Sebastian, Matt Olson, and Demetri Yannopoulos. "Learning to Predict Coronary Perfusion Pressure During Cardiopulmonary Resuscitation." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8968.
Full textHuang, Zhiyong, and Carl M. Larsen. "Large Eddy Simulation of an Oscillating Cylinder Close to a Wall." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20006.
Full textXu, Xin, Liangliang Zhang, Qi Kong, Chenguang Gui, and Xing Zhang. "Enhanced-Historical Average for Long-Term Prediction." In 2022 2nd International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2022. http://dx.doi.org/10.1109/icccr54399.2022.9790148.
Full textLi, Lin, Zhen Gao, and Torgeir Moan. "Joint Environmental Data at Five European Offshore Sites for Design of Combined Wind and Wave Energy Devices." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10156.
Full textOlaechea, Rafael, Uli Fahrenberg, Joanne M. Atlee, and Axel Legay. "Long-term average cost in featured transition systems." In SPLC '16: The 20th International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2934466.2934473.
Full textTeng, Chung-Chu. "Climatic and Maximum Wave Spectra from Long-Term Measurements." In Fourth International Symposium on Ocean Wave Measurement and Analysis. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40604(273)10.
Full textReports on the topic "Long term average spectra"
Dooley, James J., Robert T. Dahowski, and Casie L. Davidson. On the Long-Term Average Cost of CO2 Transport and Storage. Office of Scientific and Technical Information (OSTI), March 2008. http://dx.doi.org/10.2172/939041.
Full textBusso, Matías, and Juan Pablo Chauvin. Long-term Effects of Weather-induced Migration on Urban Labor and Housing Markets. Inter-American Development Bank, January 2023. http://dx.doi.org/10.18235/0004714.
Full textBörjesson, Patrik, Maria Eggertsen, Lachlan Fetterplace, Ann-Britt Florin, Ronny Fredriksson, Susanna Fredriksson, Patrik Kraufvelin, et al. Long-term effects of no-take zones in Swedish waters. Edited by Ulf Bergström, Charlotte Berkström, and Mattias Sköld. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.10da2mgf51.
Full textCram, Jana, Mary Levandowski, Kaci Fitzgibbon, and Andrew Ray. Water resources summary for the Snake River and Jackson Lake Reservoir in Grand Teton National Park and John D. Rockefeller, Jr. Memorial Parkway: Preliminary analysis of 2016 data. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2285179.
Full textEquiza, Juan, Ricardo Gimeno, Antonio Moreno, and Carlos Thomas. Evaluating central bank asset purchases in a term structure model with a forward-looking supply factor. Madrid: Banco de España, January 2023. http://dx.doi.org/10.53479/25046.
Full textDay, St John, Tim Forster, and Ryan Schweitzer. Water Supply in Protracted Humanitarian Crises: Reflections on the sustainability of service delivery models. Oxfam, UNHCR, September 2020. http://dx.doi.org/10.21201/2020.6362.
Full textArango-Arango, Carlos A., Yanneth Rocío Betancourt-García, and Manuela Restrepo-Bernal. An Application of the Tourist Test to Colombian Merchants. Banco de la República, October 2021. http://dx.doi.org/10.32468/be.1176.
Full textAranco, Natalia, Pablo Ibarrarán, and Marco Stampini. Open configuration options Prevalence of care dependence among older persons in 26 Latin American and the Caribbean countries. Inter-American Development Bank, May 2022. http://dx.doi.org/10.18235/0004250.
Full textBlackman, Allen, Jorge Bonilla, and Laura Villalobos. Quantifying COVID-19’s Silver Lining: Avoided Deaths from Air Quality Improvements in Bogotá. Inter-American Development Bank, November 2021. http://dx.doi.org/10.18235/0003787.
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