Literatura académica sobre el tema "NON-LINEAR SIGNAL PROCESSING"
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Artículos de revistas sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Pagès-Zamora, Alba y Miguel A. Lagunas. "Fourier models for non-linear signal processing". Signal Processing 76, n.º 1 (julio de 1999): 1–16. http://dx.doi.org/10.1016/s0165-1684(98)00243-6.
Texto completoQu, Yanhuai, Shuai Zhang y Qingkai Han. "Comparison of Non-linear Signals Analysis Methods". MATEC Web of Conferences 232 (2018): 01014. http://dx.doi.org/10.1051/matecconf/201823201014.
Texto completoLunner, Thomas, Johan Hellgren, Stig Arlinger y Claus Elberling. "Non-Linear Signal Processing in Digital Hearing Aids". Scandinavian Audiology 27, n.º 4 (enero de 1998): 40–49. http://dx.doi.org/10.1080/010503998420649.
Texto completoBhateja, Vikrant, Rishendra Verma, Rini Mehrotra y Shabana Urooj. "A Non-Linear Approach to ECG Signal Processing using Morphological Filters". International Journal of Measurement Technologies and Instrumentation Engineering 3, n.º 3 (julio de 2013): 46–59. http://dx.doi.org/10.4018/ijmtie.2013070104.
Texto completoAdithya valli, N. y Dr D. Elizabath Rani. "Modified PWNLFM Signal for Side-Lobe Reduction". International Journal of Engineering & Technology 7, n.º 4.20 (28 de noviembre de 2018): 4. http://dx.doi.org/10.14419/ijet.v7i4.20.22110.
Texto completoBILLINGS, S. A. y Q. H. TAO. "Model validity tests for non-linear signal processing applications". International Journal of Control 54, n.º 1 (julio de 1991): 157–94. http://dx.doi.org/10.1080/00207179108934155.
Texto completoLiu, H. y T. Vinh. "Multi-dimensional signal processing for non-linear structural dynamics". Mechanical Systems and Signal Processing 5, n.º 1 (enero de 1991): 61–80. http://dx.doi.org/10.1016/0888-3270(91)90015-w.
Texto completoSmolarik, Lukas, Dusan Mudroncik y Lubos Ondriga. "ECG Signal Processing". Advanced Materials Research 749 (agosto de 2013): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.749.394.
Texto completoBilgehan, Bülent. "Efficient approximation for linear and non‐linear signal representation". IET Signal Processing 9, n.º 3 (mayo de 2015): 260–66. http://dx.doi.org/10.1049/iet-spr.2014.0070.
Texto completoKumar, R. Suresh y P. Manimegalai. "Detection and Separation of Eeg Artifacts Using Wavelet Transform". International Journal of Informatics and Communication Technology (IJ-ICT) 7, n.º 3 (1 de diciembre de 2018): 149. http://dx.doi.org/10.11591/ijict.v7i3.pp149-156.
Texto completoTesis sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Frazer, Gordon John. "Aspects of time-varying non Gaussian non-linear signal analysis". Thesis, Queensland University of Technology, 1996. https://eprints.qut.edu.au/105546/1/T%28BE%26E%29%201032%20Aspects%20of%20time-varying%20non-Gaussian%20non-linear%20signal%20analysis.pdf.
Texto completoCorbari, Costantino. "Development of non-linear waveguide devices for optical signal processing". Thesis, University of Southampton, 2005. https://eprints.soton.ac.uk/65506/.
Texto completoMoille, Grégory. "Non-Linear Dynamics in Semiconductor Nano-Structures for Signal Processing". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS174/document.
Texto completoThis thesis is focused on the digitalization of radio-frequency signal using optical clock, allowing a low time jitter compared to electronic clocks. A low jitter is a key factor for high performance sampling, as the clock commands the “gate” opening which extracts the signal samples at regular intervals. This thesis describes two original approaches: all-optical sampling and electro-optics one.An electro-optic gate is based on radio-frequency transmission strip-line carrying the electric signal. A discontinuity in this strip-line occurs which become conductive, thanks to the optical command provided by the clock, due to a photo-conductive material. Semiconductor alloys from the III-V groups are widely used thanks to the high mobility of the photo-generated carriers allowing a high “on” state. In particular, GaAs present a good “off” state due to its band-gap energy. However, this restrains the optical clock wavelength explaining the use of optical sources around 800 nm.In this thesis, the focus was made on using mode-locked lasers in the Telecom range, thus using the improvement made on these sources during the past decades, while keeping GaAs as the active material in the electro-optic sampler. This is made possible by exalting the efficiency of two-photon absorption, which is usually weak in common structures. The approach followed here is to use a photonic crystal cavity. Thanks to its high optical mode confinement, non-linear absorption becomes efficient enough to generated carriers to modify the resistivity of the material. In addition, the nano-structuration of the material reduce tremendously the carrier lifetime, owing to switch from an “on” to “off” state fast enough to sample high frequency signals.The same function has been studied in the case where the signal is not carried electrically but optically. The all-optical gate function is realized using two photonic crystal resonators coupled together. The carrier generation by two-photon absorption induces a spectral shift of the resonance, used to modulate the transmission of the device. A fast all-optical gate, enabling signal processing up to 50 GHz is demonstrated here. The gate only requires a control power of about 200 fJ per pulses, which is low enough to use integrated optical sources (laser diodes) and, thanks to the small footprint, be easily integrated
Archer, Cynthia. "A framework for representing non-stationary data with mixtures of linear models /". Full text open access at:, 2002. http://content.ohsu.edu/u?/etd,585.
Texto completoÅström, Freddie. "A Variational Approach to Image Diffusion in Non-Linear Domains". Licentiate thesis, Linköpings universitet, Datorseende, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92788.
Texto completoNACIP, VIDI, GARNICS
Fotinopoulos, Ioannis. "Root moments : a non-linear transformation technique with applications in signal processing". Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396276.
Texto completoLynch, Michael Richard. "Adaptive techniques in signal processing and connectionist models". Thesis, University of Cambridge, 1990. https://www.repository.cam.ac.uk/handle/1810/244884.
Texto completoKulakcherla, Sudheer. "Non [sic] linear adaptive filters for echo cancellation of speech coded signals /". free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426079.
Texto completoHussain, A. "Novel artificial neural network architectures and algorithms for non-linear dynamical system modelling and digital communications applications". Thesis, University of Strathclyde, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263481.
Texto completoTurnes, Christopher Kowalczyk. "Efficient solutions to Toeplitz-structured linear systems for signal processing". Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51878.
Texto completoLibros sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Holambe, Raghunath S. Advances in Non-Linear Modeling for Speech Processing. Boston, MA: Springer US, 2012.
Buscar texto completo1958-, Marshall Stephen, Harvey Neal 1966- y Shah Druti 1966-, eds. Noblesse Workshop on Non-linear Model Based Image Analysis: Proceedings, NMBIA, 1-3 July 1998, Glasgow. London: Springer, 1998.
Buscar texto completoCastanié, Francis. Non-Linear Signal Processing. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoCastanié, Francis. Non-Linear Signal Processing. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoCastanié, Francis. Non-Linear Signal Processing. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoCastanié, Francis. Non-Linear Signal Processing. Wiley & Sons, Incorporated, John, 2016.
Buscar texto completoBugnon, Francois J. Team differential games and non-linear signal processing. 1986.
Buscar texto completoMarshall, Stephen, Noblesse Workshop on Non-Linear Model Based Image Analysis, Neal Harvey y Druti Shah. Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of Nmbia, 1-3 July 1998, Glasgow. Springer-Verlag Telos, 1999.
Buscar texto completoWendling, Fabrice, Marco Congendo y Fernando H. Lopes da Silva. EEG Analysis. Editado por Donald L. Schomer y Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.
Texto completoHolland, John H. 6. Emergence. Oxford University Press, 2014. http://dx.doi.org/10.1093/actrade/9780199662548.003.0006.
Texto completoCapítulos de libros sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Padmanabhan, Tattamangalam R. "Non-linear Signal Processing". En Industrial Instrumentation, 157–95. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0451-3_6.
Texto completoChonavel, Thierry. "Non-linear Transforms of Processes". En Statistical Signal Processing, 69–78. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0139-0_7.
Texto completoKarrenberg, Ulrich. "Linear and non-linear processes". En An Interactive Multimedia Introduction to Signal Processing, 175–216. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04949-5_8.
Texto completoGupta, Kavya y Angshul Majumdar. "Greedy Algorithms for Non-linear Sparse Recovery". En Machine Intelligence and Signal Processing, 99–108. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2625-3_9.
Texto completoMohler, R. R. y W. J. Kolodziej. "Conditionally Linear and Non-Gaussian Processes". En Topics in Non-Gaussian Signal Processing, 58–72. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-8859-3_4.
Texto completoDickman, Arie. "Non-Linear and Batch Filters". En Verified Signal Processing Algorithms in Matlab and C, 89–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93363-0_6.
Texto completoNigmatullin, Raoul R., Paolo Lino y Guido Maione. "The Eigen-Coordinates Method: Reduction of Non-linear Fitting Problems". En New Digital Signal Processing Methods, 1–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45359-6_1.
Texto completoKulhavý, Rudolf. "Recursive Nonlinear Estimation of Non-linear/Non-Gaussian Dynamic Models". En Computer Intensive Methods in Control and Signal Processing, 141–67. Boston, MA: Birkhäuser Boston, 1997. http://dx.doi.org/10.1007/978-1-4612-1996-5_8.
Texto completoMinelly, S., A. Curley, P. Giaccone y G. A. Jones. "Multi-Channel Adaptive Signal Processing of Colour Cinematographic Imagery". En Noblesse Workshop on Non-Linear Model Based Image Analysis, 193–98. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_31.
Texto completoSheng, Hu, YangQuan Chen y TianShuang Qiu. "Non-linear Transform Based Robust Adaptive Latency Change Estimation of Evoked Potentials". En Fractional Processes and Fractional-Order Signal Processing, 233–42. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2233-3_12.
Texto completoActas de conferencias sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Fitzgerald, W. J., R. L. Smith, A. T. Walden y P. C. Young. "Nonlinear and nonstationary signal processing". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980449.
Texto completoArthur, N. y J. Penman. "Condition monitoring with non-linear signal processing". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980439.
Texto completoMacleod, M. D. "Two applications of simple non-linear signal processing". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980442.
Texto completoFitzgerald, W. J. "The Bayesian approach to signal modelling". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980444.
Texto completoHealey, A. J. y S. Leeman. "A nonlinear processing technique for removing coherent interference artefacts". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980436.
Texto completoWoolfries, N., P. Lysaght, S. Marshall, G. McGregor y D. Robinson. "Fast implementation of non-linear filters using FPGAs". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980448.
Texto completoDavies, E. R., M. Bateman, J. Chambers y C. Ridgway. "Hybrid non-linear filters for locating speckled contaminants in grain". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980447.
Texto completoLi, Zhixiang, Yinlong Wang, Xiufeng Gao, Xiwu Wang, Qianjin Li y Xi Li. "Non-linear signal processing with improved STAM algorithm". En 2014 2nd International Conference on Information Technology and Electronic Commerce (ICITEC). IEEE, 2014. http://dx.doi.org/10.1109/icitec.2014.7105603.
Texto completoBeaumont, J. M. "Morphological properties of rank ordering filters". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980437.
Texto completoHarvey, N. R. y S. Marshall. "Video and film restoration using mathematical morphology". En IEE Colloquium on Non-Linear Signal and Image Processing. IEE, 1998. http://dx.doi.org/10.1049/ic:19980438.
Texto completoInformes sobre el tema "NON-LINEAR SIGNAL PROCESSING"
Cronin-Golomb, Mark y Jed Khoury. Non-Linear Optical Signal Processing. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1995. http://dx.doi.org/10.21236/ada407564.
Texto completoDagenais, M. High Speed, Low Power Non-Linear Optical Signal Processing in Semiconductors. Fort Belvoir, VA: Defense Technical Information Center, junio de 1985. http://dx.doi.org/10.21236/ada159054.
Texto completoHamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor y Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), diciembre de 2021. http://dx.doi.org/10.21079/11681/42562.
Texto completoAlchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li y A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, noviembre de 2001. http://dx.doi.org/10.32747/2001.7580664.bard.
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