Literatura académica sobre el tema "Doppler Signals"
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Artículos de revistas sobre el tema "Doppler Signals"
Fengzhen, Zhang, Li Guijuan, Zhang Zhaohui y Hu Chen. "Doppler shift extraction of wideband signal using spectrum scaling matching". MATEC Web of Conferences 208 (2018): 01001. http://dx.doi.org/10.1051/matecconf/201820801001.
Texto completoLi, Wenchao, Gangyao Kuang y Boli Xiong. "Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD". Applied Sciences 8, n.º 10 (2 de octubre de 2018): 1801. http://dx.doi.org/10.3390/app8101801.
Texto completoGong, Jiangkun, Jun Yan, Deren Li y Deyong Kong. "Detection of Micro-Doppler Signals of Drones Using Radar Systems with Different Radar Dwell Times". Drones 6, n.º 9 (19 de septiembre de 2022): 262. http://dx.doi.org/10.3390/drones6090262.
Texto completoZhang, Shangbin, Qingbo He, Haibin Zhang, Kesai Ouyang y Fanrang Kong. "Signal separation and correction with multiple Doppler acoustic sources for wayside fault diagnosis of train bearings". Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, n.º 14 (22 de marzo de 2016): 2664–80. http://dx.doi.org/10.1177/0954406216639342.
Texto completoGrenier, N., F. Basseau, M. Rey y L. LaGoarde-Segot. "Interpretation of Doppler signals". European Radiology 11, n.º 8 (agosto de 2001): 1295–307. http://dx.doi.org/10.1007/s003300100913.
Texto completoZhang, Da y Ranglei Liu. "Laser Doppler Signal Denoising Based on Wavelet Packet Thresholding Method". International Journal of Optics 2019 (14 de noviembre de 2019): 1–11. http://dx.doi.org/10.1155/2019/1097292.
Texto completoDong, Shao Feng, Bao Qiang Du y Wei Zhou. "Real-Time Measurement Method of Doppler Based on GPS Carrier Signals". Applied Mechanics and Materials 226-228 (noviembre de 2012): 2050–55. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.2050.
Texto completoJedelsky, Jan, Milan Maly, Ondrej Cejpek, Graham Wigley y James F. Meyers. "Software-based processing system for phase Doppler systems". EPJ Web of Conferences 264 (2022): 01019. http://dx.doi.org/10.1051/epjconf/202226401019.
Texto completoYan, Jun, Huiping Hu, Jiangkun Gong, Deyong Kong y Deren Li. "Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types". Drones 7, n.º 4 (21 de abril de 2023): 280. http://dx.doi.org/10.3390/drones7040280.
Texto completoEricson, Mark A. y Lawrence L. Feth. "Detection of Doppler‐like signals". Journal of the Acoustical Society of America 103, n.º 5 (mayo de 1998): 3083. http://dx.doi.org/10.1121/1.422913.
Texto completoTesis sobre el tema "Doppler Signals"
Colosimo, Joseph William. "Doppler channel emulation of high-bandwidth signals". Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85698.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 97).
The Airborne Networks Group at MIT Lincoln Laboratory has funded the construction of a channel emulator capable of applying, in real-time, environmental models to communications equipment in order to test the robustness of new wireless communications algorithms in development. Specific design goals for the new emulator included support for higher bandwidth capabilities than commercial channel emulators and the creation of a flexible framework for future implementation of more complex channel models. Following construction of the emulator's framework, a module capable of applying Doppler shifting to the input signal was created and tested using DVB-S2 satellite modems. Testing not only verified the functionality of the emulator but also showed that DVB-S2 modems are unequipped to handle the continuous spectral frequency shifts due to the Doppler effect. The emulator framework has considerable room for growth, both in terms of implementing new channel transformation models as well as the re-implementation of the emulator on custom hardware for emulation of channels with wider bandwidths, more complex noise sources, or platform-dependent spatial blockage effects.
by Joseph William Colosimo.
M. Eng.
Walther, Julia, Lars Kirsten y Edmund Koch. "Optimal processing of Doppler signals in OCT". SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35190.
Texto completoMehmood, Asif. "Instantaneous frequency analysis of ultrasonic doppler vibrometery signals /". Full text available from ProQuest UM Digital Dissertations, 2008. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1850482451&SrchMode=1&sid=2&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1277394744&clientId=22256.
Texto completoTypescript. Vita. "May 2008." Dissertation director : Paul M. Goggans Includes bibliographical references (leaves 106-112). Also available online via ProQuest to authorized users.
Eldred, Randy Michael. "Doppler processing of phase encoded underwater acoustic signals". Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241283.
Texto completoThesis Advisor(s): Miller, James H. Second Reader: Tummala, Murali. "September 1990." Description based on title screen as viewed on December 17, 2009. DTIC Identifier(s): Acoustic tomography, inverse problems, Fast Hadamard Transforms, theses. Author(s) subject terms: Acoustic tomography, Fast Hadamard Transform, maximal-length sequences, Doppler processing. Includes bibliographical references (p. 95-96). Also available in print.
Malachias, Nickolaos. "Doppler shift and spread study for ionospherically propagated signals". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA284610.
Texto completoAlzogaiby, Adel. "Using Micro-Doppler radar signals for human gait detection". Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86652.
Texto completoENGLISH ABSTRACT: This work entails the development and performance analysis of a human gait detection system based on radar micro-Doppler signals. The system consists of a tracking functionality and a target classifier. Target micro-Doppler signatures are extracted with Short-Time Fourier Transform (STFT) based spectrogram providing a high-resolution signatures with the radar that is used. A feature extraction mechanism is developed to extract six features from the signature and an artificial neural network (A-NN) based classifier is designed to carry out the classification process. The system is tested on real X-band radar data of human subjects performing six activities. Those activities are walking and speed walking, walking with hands in pockets, marching, running, walking with a weapon, and walking with arms swaying. The multiclass classifier was designed to discriminate between those activities. High classification accuracy of 96% is demonstrated.
AFRIKAANSE OPSOMMING: Hierdie werk behels die ontwikkeling, en analise van werksverrigting, van ’n menslike stapdetekor gebaseer op radar-mikrodoppleranalise. Die stelsel bestaan uit ’n teikenvolger en -klassifiseerder. Die mikrodoppler-kenmerke van ’n teiken word met behulp van die korttyd-Fourier-transform onttrek, en verskaf hoe-resolusie-kenmerke met die radar wat vir die implementering gebruik word. ’n Kenmerkontrekkingstelsel is ontwikkel om ses kenmerke vanuit die spektrogram te onttrek, en ’n kunsmatige neurale netwerk word as klassifiseerder gebruik. Die stelsel is met ’n X-band radar op werklike menslike beweging getoets, terwyl vrywilligers ses aktiwiteite uitgevoer het: loop, loop (hand in die sakke), marsjeer, hardloop, loop met ’n wapen, loop met arms wat swaai. Die multiklas-klassifiseerder is ontwerp om tussen hierdie aktiwiteite te onderskei. ’n Hoe klassifiseringsakkuraatheid van 96% word gedemonstreer.
Fan, Lingke. "Spectral and time-frequency analysis of ultrasonic Doppler signals". Thesis, University of Leicester, 1994. http://hdl.handle.net/2381/34342.
Texto completoJack, Susan Heather. "The investigation of underwater acoustic signals using Laser Doppler Anemometry". Thesis, University of Edinburgh, 2000. http://hdl.handle.net/1842/15088.
Texto completoCIATTAGLIA, Gianluca. "Modern techniques to process micro-Doppler signals from mmWave Radars". Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295142.
Texto completommWave Radar systems are becoming very common on vehicles and their capabilities, in terms of range and velocity, make them suitable for another classical radar application, the one related to the micro-Doppler effect. From the processing of mmWave radar signals, the micro-Doppler effect can be exploited, making so possible to extract interesting information on the observed targets. With the huge bandwidth and the short signal transmission time, the micro-Doppler effect can be used for different purposes such as target vibration measurements or targets classification. Thanks also to the advance of Machine Learning techniques, their combination with radar signal processing is an interesting field to explore and can be used to provide solutions to different radar problems. The Micro-Doppler effect has a long story in Radar systems, a lot of literature can be found on this topic but most of them consider non-commercial devices so is quite away from a practical case. In this dissertation, different techniques to process the micro-Doppler signals coming from automotive radars will be presented, with the purpose of classifying them and extracting vibration information from the target. The main contribution of this work is the proposal of novel techniques that can be applied on a commercial sensor and makes them suitable for the micro- Doppler application.
Wendling, Fabrice. "Simulation of doppler ultrasound signals for a laminar, pulsatile, nonuniform flow". Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/16875.
Texto completoLibros sobre el tema "Doppler Signals"
Malachias, Nickolaos. Doppler shift and spread study for ionospherically propagated signals. Monterey, Calif: Naval Postgraduate School, 1994.
Buscar texto completoKharchakdjian, Raffi. Modelling the structure of the tumour vasculature and its effect on doppler ultrasound signals. Ottawa: National Library of Canada, 2001.
Buscar texto completoN, McDicken W., ed. Doppler ultrasound: Physics, instrumentation, and signal processing. 2a ed. Chichester: Wiley, 2000.
Buscar texto completoKeenan, Desmond Barry. Enhanced signal processing of pulsed doppler ultrasound. [s.l: The Author], 1998.
Buscar texto completoEggen, Trym H. Underwater acoustic communication over Doppler spread channels. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1997.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Windshear detection radar signal processing studies: Final report. Clemson, S.C: Electrical and Computer Engineering Dept., Clemson University, 1993.
Buscar texto completoL, Weber B. y Environmental Technology Laboratory (Oceanic and Atmospheric Research Laboratories), eds. A new paradigm for Doppler radar wind profiler signal processing. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Environmental Technology Laboratory, 2004.
Buscar texto completoZemli͡anskiĭ, V. M. Izmerenie skorosti potokov lazernym doplerovskim metodom: Raschet parametrov doplerovskogo signala LDA s uchetom poli͡arizat͡sionno-fazovykh ėffektov rassei͡anii͡a. Kiev: Gol. izd-vo izdatelʹskogo obʺedinenii͡a "Vyshcha shkola", 1987.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Coherent Doppler Lidar signal covariance including wind shear and wind turbulence. [Washington, DC: National Aeronautics and Space Administration, 1993.
Buscar texto completoHepner, Timothy E. State-of-the-art laser Doppler velocimeter signal processors: calibration and evaluation. Washington, D. C: American Institute of Aeronautics and Astronautics, 1994.
Buscar texto completoCapítulos de libros sobre el tema "Doppler Signals"
Georgiadis, Dimitrios y Mario Siebler. "Detection of Microembolic Signals with Transcranial Doppler Ultrasound". En Handbook on Neurovascular Ultrasound, 194–205. Basel: KARGER, 2006. http://dx.doi.org/10.1159/000092401.
Texto completoAndersen, Knud y Anders Høst-Madsen. "Quantization of Doppler Signals: how many bits are needed?" En Developments in Laser Techniques and Applications to Fluid Mechanics, 260–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-79965-5_17.
Texto completoSetlak, Lucjan, Rafał Kowalik y Maciej Smolak. "Doppler Delay in Navigation Signals Received by GNSS Receivers". En Lecture Notes in Electrical Engineering, 3–8. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21507-1_1.
Texto completoTworzydlo, P. y A. D. C. Chan. "Spectral Analysis of Respiratory and Cardiac Signals Using Doppler Radar". En IFMBE Proceedings, 1034–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19387-8_252.
Texto completoBrinkløv, Signe M. M., Lasse Jakobsen y Lee A. Miller. "Echolocation in Bats, Odontocetes, Birds, and Insectivores". En Exploring Animal Behavior Through Sound: Volume 1, 419–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_12.
Texto completoSu, Zhe, Lixin Zhang, Xiaoping Qian, Qibing Xu y Yisong Li. "Bispectra-Mellin Transform and Its Application in Doppler-Distorted Pulsar Signals". En Lecture Notes in Electrical Engineering, 627–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29187-6_61.
Texto completoFlood, Gabrielle, Anders Heyden y Kalle Åström. "Stochastic Analysis of Time-Difference and Doppler Estimates for Audio Signals". En Lecture Notes in Computer Science, 116–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05499-1_7.
Texto completoDomnick, J., H. Ertel y C. Tropea. "Processing of Phase-Doppler Signals Using the Cross-Spectral Density Function". En Applications of Laser Anemometry to Fluid Mechanics, 473–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83844-6_26.
Texto completoZhang, Yufeng, Le Wang, Yali Gao, Jianhua Chen y Xinling Shi. "Automatic De-noising of Doppler Ultrasound Signals Using Matching Pursuit Method". En Independent Component Analysis and Blind Signal Separation, 519–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_65.
Texto completoAgostini, L., A. Fort, C. Manfredi, L. Masotti, F. Picchiarini y S. Rocchi. "Autoregressive Recursive Algorithms for Maximum Frequency Estimate of Doppler Ultrasonic Signals". En Acoustical Imaging, 479–90. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1943-0_51.
Texto completoActas de conferencias sobre el tema "Doppler Signals"
Dabas, A. y P. H. Flamant. "Spectral and Covariance algorithms for Doppler Lidar Signals". En Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.thd1.
Texto completoBabu, T. P. Sameer y P. Murali Krishna. "High resolution Doppler estimation using highly Doppler tolerant signals". En 2009 International Symposium on Ocean Electronics (SYMPOL 2009). IEEE, 2009. http://dx.doi.org/10.1109/sympol.2009.5664133.
Texto completoToth, Arthur R., Kaustubh Kalgaonkar, Bhiksha Raj y Tony Ezzat. "Synthesizing speech from Doppler signals". En 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5495552.
Texto completoShutko, Volodymyr, Olena Kolganova, Iuliia Silantieva, Lidiia Tereshchenko y Mykola Shutko. "The Doppler Radar Signals Processing". En 2019 9th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2019. http://dx.doi.org/10.1109/acitt.2019.8779980.
Texto completoXu, Shengzhi y Alexander Yarovoy. "Doppler Shifts Mitigation for PMCW Signals". En 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171290.
Texto completoFranken, G. E. A., H. Nikookar y P. Genderen. "Doppler Tolerance of OFDM-coded Radar Signals". En 2006 European Radar Conference. IEEE, 2006. http://dx.doi.org/10.1109/eurad.2006.280285.
Texto completoWalther, Julia, Lars Kirsten y Edmund Koch. "Optimal processing of Doppler signals in OCT". En European Conference on Biomedical Optics. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/ecbo.2015.954102.
Texto completoCampos, Rita, Edite Figueiras, Luis F. Requicha Ferreira y Anne Humeau-Heurtier. "Spectral analysis of laser Doppler flowmetry signals". En 2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG). IEEE, 2012. http://dx.doi.org/10.1109/enbeng.2012.6331342.
Texto completoKlochko, Vladimir K. y Irina V. Andreeva. "Signals Processing in Doppler Medical Measurement System". En 2023 25th International Conference on Digital Signal Processing and its Applications (DSPA). IEEE, 2023. http://dx.doi.org/10.1109/dspa57594.2023.10113435.
Texto completoAndric, Milenko S., Dimitrije M. Bujakovic, Boban P. Bondzulic y Bojan M. Zrnic. "Cepstrum-based analysis of radar Doppler signals". En TELSIKS 2011 - 2011 10th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services. IEEE, 2011. http://dx.doi.org/10.1109/telsks.2011.6143180.
Texto completoInformes sobre el tema "Doppler Signals"
Cayse, Robert W. Application of the Hilbert Transform to Doppler Radar Signals from a Hypervelocity Gun. Fort Belvoir, VA: Defense Technical Information Center, abril de 1988. http://dx.doi.org/10.21236/ada193690.
Texto completoLohman, B., O. Boric-Lubecke, V. M. Lubecke, P. W. Ong y M. M. Sondhi. A Digital Signal Processor for Doppler Radar Sensing of Vital Signs. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2001. http://dx.doi.org/10.21236/ada412597.
Texto completo