Letteratura scientifica selezionata sul tema "Random-multisine"
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Articoli di riviste sul tema "Random-multisine":
Enqvist, Martin. "Separability of scalar random multisine signals". Automatica 47, n. 9 (settembre 2011): 1860–67. http://dx.doi.org/10.1016/j.automatica.2011.05.015.
Figwer, Jarosław. "Continuous-time dynamic system identification with multisine random excitation revisited". Archives of Control Sciences 20, n. 2 (1 gennaio 2010): 133–49. http://dx.doi.org/10.2478/v10170-010-0009-4.
Breugelmans, Tom, Els Tourwé, Jean-Baptiste Jorcin, Ana Alvarez-Pampliega, Bart Geboes, Herman Terryn e Annick Hubin. "Odd random phase multisine EIS for organic coating analysis". Progress in Organic Coatings 69, n. 2 (ottobre 2010): 215–18. http://dx.doi.org/10.1016/j.porgcoat.2010.04.008.
Van Ingelgem, Yves, Els Tourwé, Orlin Blajiev, Rik Pintelon e Annick Hubin. "Advantages of Odd Random Phase Multisine Electrochemical Impedance Measurements". Electroanalysis 21, n. 6 (marzo 2009): 730–39. http://dx.doi.org/10.1002/elan.200804471.
Crama, Philippe, e Johan Schoukens. "FIRST ESTIMATES OF WIENER-HAMMERSTEIN SYSTEMS USING A RANDOM MULTISINE EXCITATION". IFAC Proceedings Volumes 35, n. 1 (2002): 43–48. http://dx.doi.org/10.3182/20020721-6-es-1901.00418.
Główka, Teresa, e Jarosław Figwer. "A Higher-Order Spectra Based Method of On-Line Secondary Path Model Identification for Active Noise Control Systems". Solid State Phenomena 248 (marzo 2016): 3–10. http://dx.doi.org/10.4028/www.scientific.net/ssp.248.3.
Zhang, E., R. Pintelon e P. Guillaume. "Modal Identification Using OMA Techniques: Nonlinearity Effect". Shock and Vibration 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/178696.
Crama, P., e J. Schoukens. "Computing an Initial Estimate of a Wiener–Hammerstein System With a Random Phase Multisine Excitation". IEEE Transactions on Instrumentation and Measurement 54, n. 1 (febbraio 2005): 117–22. http://dx.doi.org/10.1109/tim.2004.838130.
Hauffman, Tom, Tom Breugelmans, Yves van Ingelgem, Els Tourwé, Herman Terryn e Annick Hubin. "Measuring the adsorption of ethanol on aluminium oxides using odd random phase multisine electrochemical impedance spectroscopy". Electrochemistry Communications 22 (agosto 2012): 124–27. http://dx.doi.org/10.1016/j.elecom.2012.06.008.
Alvarez-Pampliega, A., T. Hauffman, M. Petrova, T. Breugelmans, T. Muselle, K. Van den Bergh, J. De Strycker, H. Terryn e A. Hubin. "Corrosion study on Al-rich metal-coated steel by odd random phase multisine electrochemical impedance spectroscopy". Electrochimica Acta 124 (aprile 2014): 165–75. http://dx.doi.org/10.1016/j.electacta.2013.09.159.
Tesi sul tema "Random-multisine":
Chang, Tsung-Chun, e 張琮鈞. "Identification of Nonlinear Power Amplifiers Using Random-phase Multisine Signals". Thesis, 2007. http://ndltd.ncl.edu.tw/handle/90010944640185262080.
國立臺灣海洋大學
電機工程學系
95
The power amplifier in a communication system has much to do with the quality of the output replayed by the system. It is due to the fact that nonlinear phenomena may exist in the electronic circuit, mechanical structure, and material design of a power amplifier. To be able to evaluate the goodness of a power amplifier, an accurate and efficient technique for estimating the nonlinear distortion is required. Conventional approaches to measure nonlinear distortion parameters of a power amplifier are time-consuming and cumbersome tasks. In this paper, we use a Volterra model to describe the relation between the input signal and the nonlinear distortion introduced by the power amplifier, and then formulate a parameter-measurement problem into a parameter-estimation problem. In this proposed method, we send a random-phase multisine signal to the power amplifier and record both the input and response signals. These signals are then used by an algorithm to estimate the transfer functions of the Volterra model. Once the transfer functions are estimated, the distortion parameters can be obtained. In this thesis we put forward one efficient method to identify a nonlinear power amplifier system using random-phase multisine signals. This method utilizes the high-order spectral characteristic of random-phase multisine signals.
Atti di convegni sul tema "Random-multisine":
Ching-Hsiang Tseng. "Estimation of nonlinear communication channels using random multisine signals". In 2008 Third International Conference on Communications and Networking in China. IEEE, 2008. http://dx.doi.org/10.1109/chinacom.2008.4685110.
Crama, Philippe, e Johan Schoukens. "Wiener-Hammerstein System Estimator Initialisation Using a Random Multisine Excitation". In 58th ARFTG Conference Digest. IEEE, 2001. http://dx.doi.org/10.1109/arftg.2001.327502.
Figwer, Jaroslaw. "Identification of Multichannel Nonlinear Systems Excited by Realisations of Mutivariate Orthogonal Multisine Random Time-Series". In 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2019. http://dx.doi.org/10.1109/mmar.2019.8864620.
Figwer, Jaroslaw. "An addendum to continuous-time dynamic system identification with multisine random excitations — From frequency response to transfer function". In 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2017. http://dx.doi.org/10.1109/mmar.2017.8046848.