Auswahl der wissenschaftlichen Literatur zum Thema „Signal processing Mathematical models“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Signal processing Mathematical models" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Signal processing Mathematical models":
Rogozinsky, G., M. Chesnokov und A. Kutlyiarova. „Some New Mathematical Models of Synthesized Sound Signals“. Proceedings of Telecommunication Universities 8, Nr. 2 (30.06.2022): 76–81. http://dx.doi.org/10.31854/1813-324x-2022-8-2-76-81.
Monakov, A. A., und A. A. Tarasenkov. „Comparative Analysis of Mathematical Models of Tracking Radio Altimeters“. Journal of the Russian Universities. Radioelectronics 25, Nr. 4 (29.09.2022): 72–80. http://dx.doi.org/10.32603/1993-8985-2022-25-4-72-80.
Qu, Qiuhui. „Application of MATLAB in signal and system“. SHS Web of Conferences 145 (2022): 01029. http://dx.doi.org/10.1051/shsconf/202214501029.
Tague, John A., und Kerry D. Schutz. „Seismic transient deconvolution with model‐based signal processing“. GEOPHYSICS 62, Nr. 4 (Juli 1997): 1321–30. http://dx.doi.org/10.1190/1.1444234.
Sharko, Artem. „MODELS AND METHODS OF PROCESSING OF INFORMATION ON LOADS OF ACOUSTIC SIGNALS IN TECHNICAL DIAGNOSTIC SYSTEMS“. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, Nr. 3 (25.09.2018): 15–18. http://dx.doi.org/10.5604/01.3001.0012.5276.
Lavanya, S., S. Prabakaran und N. Ashok Kumar. „A Deep Learning Technique for Detecting High Impedance Faults in Medium Voltage Distribution Networks“. Engineering, Technology & Applied Science Research 12, Nr. 6 (01.12.2022): 9477–82. http://dx.doi.org/10.48084/etasr.5288.
Beardah, C. C., und R. M. Thomas. „Two mathematical models of unconfined detonation and their numerical solution“. Circuits, Systems, and Signal Processing 13, Nr. 2-3 (Juni 1994): 155–65. http://dx.doi.org/10.1007/bf01188103.
Lomakin, A., D. Pantenkov und V. Sokolov. „Mathematical Models of Satellite Communication Systems with Unmanned Aerial Vehicles and Counter-Means of Radio Control. Part 2“. Proceedings of Telecommunication Universities 5, Nr. 4 (2019): 37–48. http://dx.doi.org/10.31854/1813-324x-2019-5-4-37-48.
Al-Suod, Mahmoud, Abdullah Eial Awwad, Alaa Al-Quteimat und Oleksandr Ushkarenko. „Method for describing signal conversion processes in analog electronic systems“. Bulletin of Electrical Engineering and Informatics 11, Nr. 1 (01.02.2022): 82–92. http://dx.doi.org/10.11591/eei.v11i1.3545.
Marano, Stefano, und Marco Marano. „Frontiers in hemodialysis: Solutions and implications of mathematical models for bicarbonate restoring“. Biomedical Signal Processing and Control 52 (Juli 2019): 321–29. http://dx.doi.org/10.1016/j.bspc.2019.02.029.
Dissertationen zum Thema "Signal processing Mathematical models":
Fabrizio, Giuseppe Aureliano. „Space-time characterisation and adaptive processing of ionospherically-propagated HF signals /“. Title page, table of contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phf129.pdf.
Cai, Qin. „Detecting Chaotic Signals with Nonlinear Models“. PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4564.
Webb, M. R. „Millimetre wave quasi-optical signal processing systems“. Thesis, University of St Andrews, 1993. http://hdl.handle.net/10023/2827.
Zhang, Zhiguo, und 張治國. „On bandwidth and scale selection in processing of time-varying signalswith applications“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39707465.
Selén, Yngve. „Model selection /“. Uppsala : Univ. : Dept. of Information Technology, Univ, 2004. http://www.it.uu.se/research/reports/lic/2004-003/.
Stoffell, Kevin M. „Implementation of a Quadrature Mirror Filter Bank on an SRC reconfigurable computer for real-time signal processing“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FStoffell.pdf.
Thesis Advisor(s): Douglas J. Fouts. "September 2006." Includes bibliographical references (p. 111-112). Also available in print.
洪觀宇 und Roy Hung. „Time domain analysis and synthesis of cello tones based on perceptual quality and playing gestures“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B31215348.
Li, Xiao, und 李驍. „Channel estimation and timing synchronization in cooperative communication systems“. Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841835.
Sadeghi, Parastoo School of Electrical Engineering And Telecommunications UNSW. „Modelling, information capacity, and estimation of time-varying channels in mobile communication systems“. Awarded by:University of New South Wales. School of Electrical Engineering And Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/32310.
Yang, Yang. „2D signal processing: efficient models for spectral compressive sensing & single image reflection suppression“. Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6667.
Bücher zum Thema "Signal processing Mathematical models":
Solo, Victor. Adaptive signal processing algorithms: Stability and performance. Englewood Cliffs, N.J: Prentice Hall, 1995.
Devasahayam, Suresh R. Signals and systems in biomedical engineering: Signal processing and physiological systems modeling. New York: Kluwer Academic/Plenum Publishers, 2000.
Gromakov, I︠U︡ A. Optimalʹnai︠a︡ obrabotka radiosignalov bolʹshimi sistemami. Moskva: Ėko-Trendz, 2004.
Hayes, M. H. Statistical digital signal processing and modeling. New York: John Wiley & Sons, 1996.
Collecchia, Regina. Numbers & notes: An introduction to musical signal processing. Portland, Ore: PSI Press, 2012.
Aein, Joseph M. An optical signal processing model for the interferometric fiber optic gyro. Santa Monica, CA: RAND, 1995.
Hall, David L. Mathematical techniques in multisensor data fusion. Boston: Artech House, 1992.
L, Hall David. Mathematical techniques in multisensor data fusion. Boston: Artech House, 1992.
Drongelen, Wim van. Signal processing for neuroscientists: Introduction to the analysis of physiological signals. Amsterdam: Elsevier/Academic Press, 2007.
L, Hall David. Mathematical techniques in multi-sensor data fusion. 2. Aufl. Boston: Artech House, 2004.
Buchteile zum Thema "Signal processing Mathematical models":
Butler, John L., und Charles H. Sherman. „Mathematical Models for Acoustic Radiation“. In Modern Acoustics and Signal Processing, 555–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39044-4_11.
Gamba, Jonah. „Radar Waveforms and Their Mathematical Models“. In Radar Signal Processing for Autonomous Driving, 37–51. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9193-4_4.
Abraham, Douglas A. „Mathematical Statistics“. In Modern Acoustics and Signal Processing, 251–305. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92983-5_5.
Fuhrmann, Paul A., und Uwe Helmke. „On the Use of Functional Models in Model Reduction“. In Perspectives in Mathematical System Theory, Control, and Signal Processing, 177–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-93918-4_16.
Gopi, E. S. „Mathematical Model of Time Varying Wireless Channel Model“. In Digital Signal Processing for Wireless Communication using Matlab, 55–92. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82036-7_2.
Brockett, Roger W. „Markov Models for Coherent Signals: Extrapolation in the Frequency Domain“. In Perspectives in Mathematical System Theory, Control, and Signal Processing, 299–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-93918-4_27.
Gopi, E. S. „Mathematical Model of the Time-Varying Wireless Channel“. In Digital Signal Processing for Wireless Communication using Matlab, 1–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20651-6_1.
Stawiaski, Jean. „Optimal Path: Theory and Models for Vessel Segmentation“. In Mathematical Morphology and Its Applications to Image and Signal Processing, 417–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21569-8_36.
Jeulin, Dominique, und Pascal Laurenge. „Probabilistic Model of Rough Surfaces Obtained by Electro-Erosion“. In Mathematical Morphology and its Applications to Image and Signal Processing, 289–96. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0469-2_33.
Yang, Lei, Liang Li, Chie Muraki Asano und Akira Asano. „Primitive and Grain Estimation Using Flexible Magnification for a Morphological Texture Model“. In Mathematical Morphology and Its Applications to Image and Signal Processing, 190–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21569-8_17.
Konferenzberichte zum Thema "Signal processing Mathematical models":
„Session MA7b Mathematical Models for Image Processing“. In Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. IEEE, 2004. http://dx.doi.org/10.1109/acssc.2004.1399104.
Bouchoffra, D., und F. Ykhlef. „Mathematical models for machine learning and pattern recognition“. In 2013 8th InternationalWorkshop on Systems, Signal Processing and their Applications (WoSSPA). IEEE, 2013. http://dx.doi.org/10.1109/wosspa.2013.6602331.
Rohde, Steve M., William J. Williams und Mitchell M. Rohde. „Application of Advanced Signal Processing Methods to Automotive Systems Testing“. In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59535.
Akman, Caglar, Okan Demir und Tolga Sonmez. „Covid-19 SEIQR Spread Mathematical Model“. In 2021 29th Signal Processing and Communications Applications Conference (SIU). IEEE, 2021. http://dx.doi.org/10.1109/siu53274.2021.9477975.
Wu, Feilong, Wenjie Wang, Hui-Ming Wang und Qinye Yin. „A unified mathematical model for spatial scrambling based secure wireless transmission and its wiretap method“. In Signal Processing (WCSP 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcsp.2011.6096860.
Simsek, Mustafa, Ibrahim Delibalta, Lemi Baruh und Suleyman S. Kozat. „Mathematical model of causal inference in Social Networks“. In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7495952.
Analoui, Morteza, und Shahram Jamali. „TCP fairness enhancement through a mathematical parametric model“. In Signal Processing with Special Track on Biomedical Engineering (CCSP). IEEE, 2005. http://dx.doi.org/10.1109/ccsp.2005.4977166.
Artyushenko, Vladimir Mikhaylovich, und Vladimir Ivanovich Volovach. „The Mathematical Models of Transformation non-Gaussian Random Processes in the non-Linear non-Inertial Elements“. In 2022 24th International Conference on Digital Signal Processing and its Applications (DSPA). IEEE, 2022. http://dx.doi.org/10.1109/dspa53304.2022.9790780.
Moghaddam, Mohsen Ebrahimi. „A Mathematical Model to Estimate Out of Focus Blur“. In 2007 5th International Symposium on Image and Signal Processing and Analysis. IEEE, 2007. http://dx.doi.org/10.1109/ispa.2007.4383705.
„A STUDY OF STOCHASTIC RESONANCE AS A MATHEMATICAL MODEL OF ELECTROGASTROGRAM“. In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003159504500453.
Berichte der Organisationen zum Thema "Signal processing Mathematical models":
Luo, Zhi-Quan. Mathematical Analysis of Signal Processing Capabilities of Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, Januar 2009. http://dx.doi.org/10.21236/ada499991.
Baraniuk, Richard G. Multiscale Statistical Models for Signal and Image Processing. Fort Belvoir, VA: Defense Technical Information Center, Juni 2004. http://dx.doi.org/10.21236/ada425177.
Shubitidze, Fridon. A Complex Approach to UXO Discrimination: Combining Advanced EMI Forward Models and Statistical Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, Januar 2012. http://dx.doi.org/10.21236/ada578937.
Burnett, G. C. Damage Detection and Identification of Finite Element Models Using State-Space Based Signal Processing a Summation of Work Completed at the Lawrence Livermore National Laboratory February 1999 to April 2000. Office of Scientific and Technical Information (OSTI), April 2000. http://dx.doi.org/10.2172/793960.
Tanny, Josef, Gabriel Katul, Shabtai Cohen und Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, Oktober 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova und Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], Februar 2020. http://dx.doi.org/10.31812/123456789/3677.
Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li und A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7580664.bard.