Literatura académica sobre el tema "ELECTRICALS SIGNALS"
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Artículos de revistas sobre el tema "ELECTRICALS SIGNALS"
Klyuchko, O. M. y P. V. Beloshitsky. "Biosensor concept and data input to biomedical infornation systems". Medical Informatics and Engineering, n.º 3 (10 de junio de 2021): 51–69. http://dx.doi.org/10.11603/mie.1996-1960.2020.3.11698.
Texto completoHe, Fei, Jiabei Shen, Zhi Tang, Xiaomeiao Qi y Haoran Li. "Influencing Factors of Rock Electrical Signal Analysis Based on Artificial Intelligence". Mobile Information Systems 2021 (21 de octubre de 2021): 1–9. http://dx.doi.org/10.1155/2021/1165686.
Texto completoCai, Weiming y Qingke Qi. "Study on Electrophysiological Signal Monitoring of Plant under Stress Based on Integrated Op-Amps and Patch Electrode". Journal of Electrical and Computer Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4182546.
Texto completoZhang, Hong, Xinxin Lu y Xiuye Yin. "Reverse Synchronous Transmission of Electrical Signals Based on Parallel Injection and Series Pickup". Traitement du Signal 37, n.º 4 (10 de octubre de 2020): 655–60. http://dx.doi.org/10.18280/ts.370415.
Texto completoCarneiro, Mirella, Victor Oliveira, Fernanda Oliveira, Marco Teixeira y Milena Pinto. "Simulation Analysis of Signal Conditioning Circuits for Plants’ Electrical Signals". Technologies 10, n.º 6 (25 de noviembre de 2022): 121. http://dx.doi.org/10.3390/technologies10060121.
Texto completoSaatci, Ertugrul y Esra Saatci. "Multifractal Behaviour of Respiratory Signals". Electrica 20, n.º 2 (15 de junio de 2020): 182–88. http://dx.doi.org/10.5152/electrica.2020.20011.
Texto completoLi, Chang Cheng, Lai Wu Yin, Dong Chen y Shu Jie Xu. "Lossless Compression of Weak Electrical Signal of Ginseng Molecule Based on Discrete Wavelet Transform and Siesta Program". Advanced Materials Research 986-987 (julio de 2014): 1950–53. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1950.
Texto completoWang, Hanbo. "Compressed Sensing: Theory and Applications". Journal of Physics: Conference Series 2419, n.º 1 (1 de enero de 2023): 012042. http://dx.doi.org/10.1088/1742-6596/2419/1/012042.
Texto completoZhuang, Qiu Hui, Guo Jun Liu, Xiu Hua Fu y San Qiang Wang. "Brain Electrical Signal Digital Processing System Design". Applied Mechanics and Materials 278-280 (enero de 2013): 958–61. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.958.
Texto completoShi, Qiong, JingCi Zhou, JianPing Xiang y YangChun Shi. "Research on multi-fault diagnosis method and test platform of main transmission Machinery of wind Turbine based on electrical signal". Journal of Physics: Conference Series 2268, n.º 1 (1 de mayo de 2022): 012011. http://dx.doi.org/10.1088/1742-6596/2268/1/012011.
Texto completoTesis sobre el tema "ELECTRICALS SIGNALS"
Andrikogiannopoulos, Nikolas I. "RF phase modulation of optical signals and optical/electrical signal processing". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/42930.
Texto completoThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 125-127).
Analog RF phase modulation of optical signals has been a topic of interest for many years, mainly focusing on Intensity Modulation Direct Detection (IMDD). The virtues of coherent detection combined with the advantages of Frequency Modulation, however, have not been explored thoroughly. By employing Frequency Modulation Coherent Detection (FMCD), the wide optical transmission bandwidth of optical fiber can be traded for higher signal-to-noise performance. In this thesis, we derive the FM gain over AM modulation -- the maximum achievable signal-to-noise ratio (by spreading the signal's spectrum) for specific carrier-to-noise ratio. We then employ FMCD for a scheme of remote antennas for which we use optical components and subsystem to perform signal processing such as nulling of interfering signals. The performance of optical processing on different modulation schemes are compared, and some important conclusions are reported relating to the use of conventional FMCD, FMCD with optical discriminator (FMCD O-D), and IMDD. Specifically, the superiority of conventional FMCD is shown; and, on the other hand, the inferiority of FMCD O-D is shown (same performance as IMDD) because of the use of an O-D. Finally, the remote antenna scheme is generalized for N antennas and N users.
by Nikolas I. Andrikogiannopoulos.
S.M.
Ghaderi, Foad. "Signal processing techniques for extracting signals with periodic structure : applications to biomedical signals". Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/55183/.
Texto completoGartheeban, Ganeshapillai. "Methods to improve the signal quality of corrupted multi-parameter physiological signals". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65969.
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 (p. 121-125).
A modern Intensive Care Unit (ICU) has automated analysis systems that depend on continuous uninterrupted real-time monitoring of physiological signals such as Electrocardiogram (ECG), Arterial Blood Pressure (ABP), and the Photo Plethysmogram (PPG). Unfortunately, these signals are often corrupted by noise, artifacts, and missing data, which can result in a high incidence of false alarms. We present a novel approach to improve the Signal Quality of a multi-parameter physiological signal by identifying the corrupted regions in the signal, and reconstructing them using the information available in correlated signals. The method is specifically designed to preserve the clinically most signicant aspects of the signals. We use template matching to jointly segment the multi-parameter signal, morphological dissimilarity to estimate the quality of the signal segment, similarity search to nd the closest match from a database of templates, and time-warping to reconstruct the corrupted segment using the matching template. Experiments carried out on the MIT-BIH Arrhythmia Database, a multi-parameter ECG database with many clinically signicant arrhythmias, demonstrate the effectiveness of the method. Our method improved the classification accuracy of the beat type by more than 700% on the signal corrupted with white Gaussian noise, and increased the similarity to the original signal, as measured by the normalized residual distance, by more than 250%. When the method was applied to the multi-parameter physiological signal data from Cinc Challenge 2010 database at Physionet.org, our method improved the classification accuracy of beat type by more than 33 times on a signal corrupted with white Gaussian noise, and increased the similarity to the original signal by more than 280%.
by Gartheeban Ganeshapillai.
S.M.
Nguyen, Thien-Minh. "Contribution to the analysis and understanting of electrical-grid signals with signal processing and machine learning techniques". Thesis, Mulhouse, 2017. http://www.theses.fr/2017MULH9234/document.
Texto completoThis thesis proposes identifying approaches and recognition of current harmonics that are based on machine learning strategies. The approaches are applied directly in the quality improvement devices of electric energy and in energy management solutions. Complete neural structures, equipped with automatic learning capabilities have been developed to identify the harmonic components of a sinusoidal signal at large and more specifically an AC disturbed by non–linear loads. The harmonic identification is performed with multilayer perceptron neural networks (MLP). Several identification schemes have been developed. They are based on a MLP neural network composed of linear or multiple MLP networks with specific learning. Harmonics of a disturbed signal are identified with their amplitude and phases. They can be used to generate compensation currents fed back into the network to improve the waveform of the electric current. Neural approaches were developed to distinguish and to recognize the types of harmonics and is nonlinear load types that are at the origin. They consist of MLP or SVM (Support Vector Machine) acting as classifier that learns the harmonic profile of several types of predetermined signals and representative of non–linear loads. They entry are the parameters of current harmonics of the current wave. Learning can recognize the type of nonlinear load that generates disturbances in the power network. All harmonics identification and recognition approaches have been validated by simulation tests or using experimental data. The comparisons with other methods have demonstrated superior characteristics in terms of performance and robustness
Thomas, Gregoire R. "Agonist : induced electrical signals in the intact lens". Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338296.
Texto completoHassana, Ramesh Rakesh Kashyap. "Transform Domain Acquisition of Spread Spectrum Signals in a Low Signal to Noise Ratio Environment". Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1289579500.
Texto completoKershaw, Robert Andrew. "Retrieved voluntary electromyogram signals for functional electrical stimulation control". Thesis, University of Bristol, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295098.
Texto completoBortnik, Bartosz Jan. "Photonic generation, transmission, and detection of high-speed electrical signals". Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1459913961&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Texto completoMasmoudi, Mohamed Lamine. "Détection d'un défaut localisé dans un multiplicateur d'éolienne : approche par analyse des grandeurs électromécaniques". Thesis, La Rochelle, 2015. http://www.theses.fr/2015LAROS001.
Texto completoThe work presented in this thesis was carried out under the FEDER project ”Maintenance prédictive des éoliennes et maîtrise des impacts environnementaux”. One of the project objectives was to develop, in Poitou-Charentes, expertise in the field of wind power in connection with the activities of LIAS and LaSIE laboratories. For LIAS, it was decided to launch a new research activity on the diagnosis of mechanical faults. The localized defects in gearbox were privileged. Furthermore, we restricted the study to the stationary system to simplify the learning of different phenomena involved and signal processing techniques. In the first part, we studied the fault signatures on the vibration signals. This phase was facilitated by the use of experimental data available from the Bearing Data Center of the Case Western Reserve - Cleveland University. Among the signal processing methods, we opted for envelope analysis implemented in the Synchronous Time Averaging (TSA). On this occasion, we defined a comprehensive fault detection procedure that we have maintained throughout this study by applying a NLP identification technique where we obtained similar results compared to high-resolution methods as ESPRIT. There after, we refocused on wind power applications by making an original test bench capable of emulating a fault in the coupling of two electrical machines. The main idea was to identify all usable signals in the context of emulated fault detection and to provide a classification between electric currents, mechanical torque and speed of the machines. Moreover, a comparison between measured signals and estimated ones was discussed. It shows that it is possible to get an observed signal richer than direct signal measurement in terms of spectral components related to the defect. This improvement is made possible by an appropriate synthesis of gains observer which was obtained after linearization of the studied observer. In the margin of wind application, the case of a motor controlled by vector was also discussed. The idea was to exploit the speed loop performance to amplify the fault components in electrical currents. All these researches have been tested in simulation and experimentally
Naidoo, Thoneshan. "Signal and image processing for electrical resistance tomography". Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/5140.
Texto completoElectrical Resistance Tomography (ERT) is in essence an imaging technique.In ERT current is injected into and removed from a vessel via paired electrodes. The resulting voltage measurements are captured between the remaining electrode pairs. The principle behind ERT is to map these boundary voltages into a conductivity distribution that represents the domain of the vessel. The author has coded a versatile reconstruction algorithm based on the Newton-Raphson algorithm. The knowledge gained by implementing the algorithm is documented in this thesis. The literature covers the basic aspects of two-dimensional and three-dimensional ERT. It is hoped that this thesis will create a greater interest in ERT at the University of Cape Town (UCT) and also act as a building block for further developments. The thesis starts by presenting the basic concepts of ERT such as the underlying equations, the various boundary measurement strategies and a global perspective of ERT. The nature of this thesis is on software reconstruction and in so doing information on the incorporation of the Finite Element Method in ERT is provided. The thesis goes on to provide information about the reconstruction algorithms, which incorporate regularization. A novel aspect of this thesis involves the calibration and pre-processing of boundary voltages. These concepts were conceptualised and developed during formal communications with Dr. Wilkinson (2002) and Randal (2002). The calibration schemes try to eliminate the potential errors that can arise inthe captured data thus allowing for a clearer image to be reconstructed, Electrical Resistance Tomography. This thesis further develops the idea of parallelizing the Newton-Raphson algorithm to increase the speed of the algorithm. Various schemes on how this parallelization is achievable are put forward.
Libros sobre el tema "ELECTRICALS SIGNALS"
Devasahayam, Suresh R. Signals and Systems in Biomedical Engineering: Signal Processing and Physiological Systems Modeling. 2a ed. Boston, MA: Springer US, 2013.
Buscar texto completoCircuits, signals, and devices. Harlow, Essex, England: Longman Scientific & Technical, 1988.
Buscar texto completoWebster, John G. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2003.
Buscar texto completo1932-, Webster John G., ed. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2004.
Buscar texto completoPeterson, Andrew F. Transient signals on transmission lines: An introduction to non-ideal effects and signal integrity issues in electrical systems. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool Publishers, 2009.
Buscar texto completoKudeki, Erhan. Analog signals and systems. Upper Saddle River, N.J: Pearson Prentice Hall, 2009.
Buscar texto completoKudeki, Erhan. Analog signals and systems. Upper Saddle River, N.J: Pearson Prentice Hall, 2009.
Buscar texto completoS, Gevins A. y Rémond Antoine, eds. Methods of analysis of brain electrical and magnetic signals. Amsterdam: Elsevier, 1987.
Buscar texto completoPradhan, Gayadhar, Stella Morris y Niranjan Nayak, eds. Advances in Electrical Control and Signal Systems. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5262-5.
Texto completoElectrical cables for power and signal transmission. New York: John Wiley, 2000.
Buscar texto completoCapítulos de libros sobre el tema "ELECTRICALS SIGNALS"
Keller, Reto B. "Time-Domain and Frequency-Domain". En Design for Electromagnetic Compatibility--In a Nutshell, 41–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14186-7_5.
Texto completoWeik, Martin H. "electrical signal". En Computer Science and Communications Dictionary, 486. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_5879.
Texto completoChristopoulos, Christos. "Electrical Signals and Circuits". En Principles and Techniques of Electromagnetic Compatibility, 55–77. 3a ed. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003310983-5.
Texto completoKories, Ralf y Heinz Schmidt-Walter. "Signals and Systems". En Electrical Engineering, 208–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55629-6_6.
Texto completoBartiromo, Rosario y Mario De Vincenzi. "Measurement of Alternating Electrical Signals". En Undergraduate Lecture Notes in Physics, 163–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31102-9_7.
Texto completoBaşar, Erol. "Electrical Signals from the Brain". En Springer Series in Synergetics, 21–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72192-2_3.
Texto completoEccles, William. "Processing Signals". En Pragmatic Electrical Engineering: Systems and Instruments, 81–103. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-79837-5_4.
Texto completoAhirwal, Mitul Kumar, Anil Kumar y Girish Kumar Singh. "Biomedical Signals". En SpringerBriefs in Electrical and Computer Engineering, 1–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67098-6_1.
Texto completoBhooshan, Sunil. "Analysis of Signals". En Lecture Notes in Electrical Engineering, 15–107. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4277-7_2.
Texto completoMeena, Hemant Kumar, Ramnivas Sharma, Abhinav Tailor, Harshil Verma y Rajveer Saini. "Detection of Epilepsy Using Graph Signal Processing of EEG Signals with Three Features". En Lecture Notes in Electrical Engineering, 569–78. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1520-8_46.
Texto completoActas de conferencias sobre el tema "ELECTRICALS SIGNALS"
Gookin, D. M. y M. H. Berry. "Integrated optical differential amplifier with large dynamic range for gigahertz bandwidth electrical signals". En Integrated Photonics Research. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/ipr.1991.tud10.
Texto completoKoo, Kil Mo, Kwang Il Ahan, Yong Mann Song, Joon Eon Yang y Eung Seok Park. "Response Analysis From Transient Signal for Variation of R-C Passive Elements Under High Temperature Accident Condition in NPPs". En 16th International Conference on Nuclear Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/icone16-48356.
Texto completoRajkumar, N., J. N. McMullin, B. P. Keyworth y R. I. MacDonald. "3 X 3 Optoelectronic Cross-Bar Switch Using Vertical Cavity Surface Emitting Laser Arrays". En Diffractive Optics and Micro-Optics. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/domo.1996.dmd.4.
Texto completoBekele, Dagmawi, Hitesh Sahoo, Deming Kong, Michael Galili, Kresten Yvind, Leif Katsuo Oxenløwe y Jesper Mørk. "Direct-detection receiver for QPSK-modulated signals". En Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.m3z.17.
Texto completoKalbfleisch, Paul, Svenja Horn y Monika Ivantysynova. "Cyclostationary Analysis of Measured Pump Acoustic and Vibration Signals". En BATH/ASME 2018 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fpmc2018-8899.
Texto completoMcConaghy, Chuck. "An Optically Strobed Sample and Hold Circuit*". En Picosecond Electronics and Optoelectronics. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/peo.1987.wb3.
Texto completoLiu, Yanming, Mike Grove y Paul R. Prucnal. "Multiple quantum well waveguide modulator for fiber-optic interconnects". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.wd4.
Texto completoTakahashi, H., S. Aoshima y Y. Tsuchiya. "Improvement of Space Dependent Sensitivity and Absolute Voltage Measurement in Non-Contact Picosecond Electro-Optic Sampling". En Picosecond Electronics and Optoelectronics. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/peo.1991.fb5.
Texto completoChoi, Hyeon Y., Takehiro Tsuritani y Itsuro Morita. "Generation Method of Optical 64QAM Signal Using Electrical Binary Drive Signals". En Asia Communications and Photonics Conference. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/acp.2012.as1g.6.
Texto completoChoi, Hyeon Yeong, Takehiro Tsuritani y Itsuro Morita. "Generation Method of Optical 64QAM Signal Using Electrical Binary Drive Signals". En Asia Communications and Photonics Conference. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/acpc.2012.as1g.6.
Texto completoInformes sobre el tema "ELECTRICALS SIGNALS"
Gotten, Jr y William M. Robotic Control Using Muscular and Neural Electrical Signals. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1994. http://dx.doi.org/10.21236/ada284908.
Texto completoFayette, Daniel F. y Nancy A. Koziarz. Electrical Characterization of Signal Processing Microcircuit. Fort Belvoir, VA: Defense Technical Information Center, abril de 1989. http://dx.doi.org/10.21236/ada209078.
Texto completoResearch, Gratis. Green Light: A New Preventive Therapy for Migraine. Gratis Research, noviembre de 2020. http://dx.doi.org/10.47496/gr.blog.03.
Texto completoJones, Robert M., Alison K. Thurston, Robyn A. Barbato y Eftihia V. Barnes. Evaluating the Conductive Properties of Melanin-Producing Fungus, Curvularia lunata, after Copper Doping. Engineer Research and Development Center (U.S.), noviembre de 2020. http://dx.doi.org/10.21079/11681/38641.
Texto completoCORSCADDENorscadden, Louise y Arpaporn Sutipatanasomboon. The Definite Guide to Flow Cytometry for Scientists. ConductScience, diciembre de 2022. http://dx.doi.org/10.55157/cs20221213.
Texto completoAmman, Mark, Marc Bergevin, Yuen-Dat Chan, Jason A. Detwiler, Brian Fujikawa, Kevin T. Lesko, Paul N. Luke et al. Electrical Signal Path Study and Component Assay for the MAJORANA N-Type Segmented Contact Detector. Office of Scientific and Technical Information (OSTI), febrero de 2009. http://dx.doi.org/10.2172/1000958.
Texto completoSimms, Janet, Benjamin Breland y William Doll. Geophysical investigation to assess condition of grouted scour hole : Old River Control Complex—Low Sill Concordia Parish, Louisiana. Engineer Research and Development Center (U.S.), septiembre de 2021. http://dx.doi.org/10.21079/11681/41863.
Texto completoWeinschenk, Craig, Daniel Madrzykowski y Paul Courtney. Impact of Flashover Fire Conditions on Exposed Energized Electrical Cords and Cables. UL Firefighter Safety Research Institute, octubre de 2019. http://dx.doi.org/10.54206/102376/hdmn5904.
Texto completoBruce y Fiore. L51629 Users Manual-Field Validation of the Low-Frequency Eddy Current Instrument-Software Listings. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), octubre de 1990. http://dx.doi.org/10.55274/r0010602.
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