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Artykuły w czasopismach na temat "Conditioning and processing electrical signal"
Rei, Silviu, Dan Chicea, Beriliu Ilie i Sorin Olaru. "Dynamic Light Scattering Signal Conditioning for Data Processing". ACTA Universitatis Cibiniensis 69, nr 1 (20.12.2017): 130–35. http://dx.doi.org/10.1515/aucts-2017-0016.
Pełny tekst źródłaZulkiflli, Nur Amira, Kaviarasu Nandaguru, Omar Fahmi Arm, Feisal Mohamed Khamis, Ahmad Ridhwan Wahap, Fatin Aliah Phang Abdullah, Kian Sek Tee, Nurul Hidayat i Jaysuman Pusppanathan. "Electrical Impedance Tomography Signal Conditioning for Lung Imaging Applications". Journal of Human Centered Technology 2, nr 2 (6.08.2023): 78–87. http://dx.doi.org/10.11113/humentech.v2n2.58.
Pełny tekst źródłaPayo, Ismael, José L. Polo, Blanca López, Diana Serrano, Antonio M. Rodríguez, M. Antonia Herrero, Ana Martín-Pacheco, Inmaculada Sánchez i Ester Vázquez. "Signal conditioning circuit for gel strain sensors". Smart Materials and Structures 31, nr 1 (25.11.2021): 015020. http://dx.doi.org/10.1088/1361-665x/ac36e0.
Pełny tekst źródłaCelka, Patrick, Rolf Vetter, Philippe Renevey, Christophe Verjus, Victor Neuman, Jean Luprano, Jean-Dominique Decotignie i Christian Piguet. "Wearable biosensing: signal processing and communication architectures issues". Journal of Telecommunications and Information Technology, nr 4 (30.12.2005): 90–104. http://dx.doi.org/10.26636/jtit.2005.4.340.
Pełny tekst źródłaAllén, Markus, Jaakko Marttila i Mikko Valkama. "Modeling and mitigation of nonlinear distortion in wideband A/D converters for cognitive radio receivers". International Journal of Microwave and Wireless Technologies 2, nr 2 (kwiecień 2010): 183–92. http://dx.doi.org/10.1017/s1759078710000292.
Pełny tekst źródłaRiches, S. T., C. Johnston, M. Sousa i P. Grant. "High Temperature Endurance of Packaged SOI Devices for Signal Conditioning and Processing Applications". Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2011, HITEN (1.01.2011): 000251–54. http://dx.doi.org/10.4071/hiten-paper8-sriches.
Pełny tekst źródłaWu, Chenning, Martin Hutton i Manuchehr Soleimani. "Smart Water Meter Using Electrical Resistance Tomography". Sensors 19, nr 14 (10.07.2019): 3043. http://dx.doi.org/10.3390/s19143043.
Pełny tekst źródłade Faria, Gabriella Maria, Eugênia Gonzales Lopes, Eleonora Tobaldini, Nicola Montano, Tatiana Sousa Cunha, Karina Rabello Casali i Henrique Alves de Amorim. "Advances in Non-Invasive Neuromodulation: Designing Closed-Loop Devices for Respiratory-Controlled Transcutaneous Vagus Nerve Stimulation". Healthcare 12, nr 1 (22.12.2023): 31. http://dx.doi.org/10.3390/healthcare12010031.
Pełny tekst źródłaChen, Xiyuan, Loic Maxwell, Franklin Li, Amrita Kumar, Elliot Ransom, Tanay Topac, Sera Lee, Mohammad Faisal Haider, Sameh Dardona i Fu-Kuo Chang. "Design and Integration of a Wireless Stretchable Multimodal Sensor Network in a Composite Wing". Sensors 20, nr 9 (29.04.2020): 2528. http://dx.doi.org/10.3390/s20092528.
Pełny tekst źródłaNathan, Arokia. "Microsensors for physical signals: Principles, device design, and fabrication technologies". Canadian Journal of Physics 74, S1 (1.12.1996): 115–30. http://dx.doi.org/10.1139/p96-844.
Pełny tekst źródłaRozprawy doktorskie na temat "Conditioning and processing electrical signal"
Valero, Daniel. "Wireless Signal Conditioning". Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862776/.
Pełny tekst źródłaLee, Li 1975. "Distributed signal processing". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86436.
Pełny tekst źródłaEldar, Yonina Chana 1973. "Quantum signal processing". Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16805.
Pełny tekst źródłaIncludes bibliographical references (p. 337-346).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal processing with applications in areas ranging from frame theory, quantization and sampling methods to detection, parameter estimation, covariance shaping and multiuser wireless communication systems. The QSP framework is aimed at developing new or modifying existing signal processing algorithms by drawing a parallel between quantum mechanical measurements and signal processing algorithms, and by exploiting the rich mathematical structure of quantum mechanics, but not requiring a physical implementation based on quantum mechanics. This framework provides a unifying conceptual structure for a variety of traditional processing techniques, and a precise mathematical setting for developing generalizations and extensions of algorithms. Emulating the probabilistic nature of quantum mechanics in the QSP framework gives rise to probabilistic and randomized algorithms. As an example we introduce a probabilistic quantizer and derive its statistical properties. Exploiting the concept of generalized quantum measurements we develop frame-theoretical analogues of various quantum-mechanical concepts and results, as well as new classes of frames including oblique frame expansions, that are then applied to the development of a general framework for sampling in arbitrary spaces. Building upon the problem of optimal quantum measurement design, we develop and discuss applications of optimal methods that construct a set of vectors.
(cont.) We demonstrate that, even for problems without inherent inner product constraints, imposing such constraints in combination with least-squares inner product shaping leads to interesting processing techniques that often exhibit improved performance over traditional methods. In particular, we formulate a new viewpoint toward matched filter detection that leads to the notion of minimum mean-squared error covariance shaping. Using this concept we develop an effective linear estimator for the unknown parameters in a linear model, referred to as the covariance shaping least-squares estimator. Applying this estimator to a multiuser wireless setting, we derive an efficient covariance shaping multiuser receiver for suppressing interference in multiuser communication systems.
by Yonina Chana Eldar.
Ph.D.
Vasconcellos, Brett W. (Brett William) 1977. "Parallel signal-processing for everyone". Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9097.
Pełny tekst źródłaIncludes bibliographical references (p. 65-67).
We designed, implemented, and evaluated a signal-processing environment that runs on a general-purpose multiprocessor system, allowing easy prototyping of new algorithms and integration with applications. The environment allows the composition of modules implementing individual signal-processing algorithms into a functional application, automatically optimizing their performance. We decompose the problem into four independent components: signal processing, data management, scheduling, and control. This simplifies the programming interface and facilitates transparent parallel signal processing. For tested applications, our system both runs efficiently on single-processors systems and achieves near-linear speedups on symmetric-multiprocessor (SMP) systems.
by Brett W. Vasconcellos.
M.Eng.
Baran, Thomas A. (Thomas Anthony). "Conservation in signal processing systems". Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/74991.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 205-209).
Conservation principles have played a key role in the development and analysis of many existing engineering systems and algorithms. In electrical network theory for example, many of the useful theorems regarding the stability, robustness, and variational properties of circuits can be derived in terms of Tellegen's theorem, which states that a wide range of quantities, including power, are conserved. Conservation principles also lay the groundwork for a number of results related to control theory, algorithms for optimization, and efficient filter implementations, suggesting potential opportunity in developing a cohesive signal processing framework within which to view these principles. This thesis makes progress toward that goal, providing a unified treatment of a class of conservation principles that occur in signal processing systems. The main contributions in the thesis can be broadly categorized as pertaining to a mathematical formulation of a class of conservation principles, the synthesis and identification of these principles in signal processing systems, a variational interpretation of these principles, and the use of these principles in designing and gaining insight into various algorithms. In illustrating the use of the framework, examples related to linear and nonlinear signal-flow graph analysis, robust filter architectures, and algorithms for distributed control are provided.
by Thomas A. Baran.
Ph.D.
South, Colin R. "Signal processing in a loudspeaking telephone". Thesis, Aston University, 1985. http://publications.aston.ac.uk/8053/.
Pełny tekst źródłaBoufounos, Petros T. 1977. "Signal processing for DNA sequencing". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/17536.
Pełny tekst źródłaIncludes bibliographical references (p. 83-86).
DNA sequencing is the process of determining the sequence of chemical bases in a particular DNA molecule-nature's blueprint of how life works. The advancement of biological science in has created a vast demand for sequencing methods, which needs to be addressed by automated equipment. This thesis tries to address one part of that process, known as base calling: it is the conversion of the electrical signal-the electropherogram--collected by the sequencing equipment to a sequence of letters drawn from ( A,TC,G ) that corresponds to the sequence in the molecule sequenced. This work formulates the problem as a pattern recognition problem, and observes its striking resemblance to the speech recognition problem. We, therefore, propose combining Hidden Markov Models and Artificial Neural Networks to solve it. In the formulation we derive an algorithm for training both models together. Furthermore, we devise a method to create very accurate training data, requiring minimal hand-labeling. We compare our method with the de facto standard, PHRED, and produce comparable results. Finally, we propose alternative HMM topologies that have the potential to significantly improve the performance of the method.
by Petros T. Boufounos.
M.Eng.and S.B.
Ponnala, Lalit. "Analysis of Genetic Translation using Signal Processing". NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-02072007-174200/.
Pełny tekst źródłaWang, Yingying. "ADVANCED ANALOG SIGNAL PROCESSING FOR WIRELESS COMMUNICATIONS". Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1585776428631869.
Pełny tekst źródłaAli-Bakhshian, Mohammad. "Digital processing of analog information adopting time-mode signal processing". Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=114237.
Pełny tekst źródłaLes technologies CMOS progressant vers les procédés 22 nm et au delà, la abrication des circuits analogiques dans ces technologies se heurte a de nombreuses limitations. Entre autres limitations on peut citer la réduction d'amplitude des signaux, la sensibilité aux effets du bruit thermique et la perte de fonctions précises de commutation. Le traitement de signal en mode temps (TMSP pour Time-Mode Signal Processing) est une technique que l'on croit être bien adapté pour résoudre un grand nombre de problèmes relatifs a ces limitations. TMSP peut être défini comme la détection, le stockage et la manipulation de l'information analogique échantillonnée en utilisant des quantités de temps comme variables. L'un des avantages importants de TMSP est la capacité à réaliser des fonctions analogiques en utilisant des structures logiques digitales. Cette technique a une longue histoire en terme d'application en électronique. Cependant, en raison du manque de certaines fonctions fondamentales, l'utilisation de variables en mode temps a été limitée à une utilisation comme étape intermédiaire dans le traitement d'un signal et toujours dans le contexte d'une conversion tension/courant-temps et temps-tension/courant. Ces conversions nécessitent l'inclusion de blocs analogiques qui vont a l'encontre de l'avantage numérique des TMSP. Cette thèse fournit un fondement approprié pour le développement de TMSP comme outil général de traitement de signal. En proposant le concept nouveau d'interruption de retard, une toute nouvelle approche asynchrone pour la manipulation de variables en mode temps est suggéré. Comme conséquence directe de cette approche, des techniques pratiques pour le stockage, l'addition et la soustraction de variables en mode temps sont présentées. Pour étendre l'implémentation digitale de TMSP à une large gamme d'applications, la conception d'un intégrateur (accumulateur) à double voie temps- à -temps est démontrée. cet intégrateur est ensuite utilisé pour implémenter un modulateur delta-sigma de second ordre.Enfin, pour démontrer l'avantage de TMSP, une Interface de très basse puissance, compacte et réglable pour capteurs capacitifs est présenté. Cette interface est composé d'un certain nombre de blocs de retard associés à des portes logiques typiques. Toutes les théories proposées sont soutenues par des résultats expérimentaux et des simulations post-layout. L'implémentation digitale des circuits proposés a été la première priorité de cette thèse. En effet, une implémentation des bloc avec des structures digitales permet des conceptions simples, synthétisable et reconfigurables où des circuits de calibration très abordables peuvent être adoptées pour éliminer les effets des variations de process.
Książki na temat "Conditioning and processing electrical signal"
Larson, William E. Universal signal conditioning amplifier. [Washington, D.C: National Aeronautics and Space Administration, 1994.
Znajdź pełny tekst źródłaWebster, John G. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2003.
Znajdź pełny tekst źródła1932-, Webster John G., red. Electrical measurement, signal processing, and displays. Boca Raton: CRC Press, 2004.
Znajdź pełny tekst źródłaSeippel, Robert G. Transducer interfacing: Signal conditioning for process control. Englewood Cliffs, N.J: Prentice-Hall, 1988.
Znajdź pełny tekst źródłaDas, Apurba. Signal Conditioning: An Introduction to Continuous Wave Communication and Signal Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Znajdź pełny tekst źródłaVeatch, Donald W. Analog signal conditioning for flight-test instrumentation. Washington, D.C: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1986.
Znajdź pełny tekst źródłaVeatch, Donald W. Analog signal conditioning for flight-test instrumentation. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.
Znajdź pełny tekst źródłaVeatch, Donald W. Analog signal conditioning for flight-test instrumentation. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1987.
Znajdź pełny tekst źródłaVeatch, Donald W. Analogue signal conditioning for flight test instrumentation. Neuilly sur Seine, France: North Atlantic Treaty Organization, Advisory Group for Aerospace Research and Development, 1986.
Znajdź pełny tekst źródłaAl-Bassiouni, Abdel-Aziz Mahmoud. Optimum signal processing in distributed sensor systems. Monterey, Calif: Naval Postgraduate School, 1987.
Znajdź pełny tekst źródłaCzęści książek na temat "Conditioning and processing electrical signal"
Barboni, Leonardo, i Maunzio Valle. "Signal Conditioning System Analysis for Adaptive Signal Processing in Wireless Sensors". W Lecture Notes in Electrical Engineering, 291–94. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3606-3_56.
Pełny tekst źródłaDas, Apurba. "Wavelets: Multi-Resolution Signal Processing". W Signal Conditioning, 243–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28818-0_10.
Pełny tekst źródłaBerns, Karsten, Alexander Köpper i Bernd Schürmann. "Signal Processing". W Lecture Notes in Electrical Engineering, 197–226. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65157-2_7.
Pełny tekst źródłaLu, Julia Hsin-Lin, i Byunghoo Jung. "Sensor Conditioning Circuits". W Integrated Circuits for Analog Signal Processing, 223–42. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1383-7_10.
Pełny tekst źródłaSalvatori, Stefano, Sara Pettinato i Maria Cristina Rossi. "A Configurable Readout Circuit for Detector Signal Conditioning". W Lecture Notes in Electrical Engineering, 220–29. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48711-8_26.
Pełny tekst źródłaSozański, Krzysztof. "Analog Signals Conditioning and Discretization". W Digital Signal Processing in Power Electronics Control Circuits, 23–81. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7332-8_2.
Pełny tekst źródłaSozański, Krzysztof. "Analog Signals Conditioning and Discretization". W Digital Signal Processing in Power Electronics Control Circuits, 23–72. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5267-5_2.
Pełny tekst źródłaYang, Zhengbo, Jiaquan Ye, Jing Liu, Ping Yang i Fei Liang. "Digital Signal Processing Technology of DVOR Navigation Signal". W Lecture Notes in Electrical Engineering, 290–95. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_37.
Pełny tekst źródłaNatarajan, Dhanasekharan. "Overview of Digital Signal Processing". W Lecture Notes in Electrical Engineering, 1–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36196-9_1.
Pełny tekst źródłaAnand, G., T. Thyagarajan, B. Aashique Roshan, L. Rajeshwar i R. Shyam Balaji. "Signal Conditioning Circuits for GMR Sensor in Biomedical Applications". W Lecture Notes in Electrical Engineering, 93–106. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4943-1_10.
Pełny tekst źródłaStreszczenia konferencji na temat "Conditioning and processing electrical signal"
Franco-Piña, J. Alejandro, Luis Contreras i Juan C. Jauregui. "Real Time Conditioning Monitoring for Failure Prediction". W ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-65145.
Pełny tekst źródłaDimcev, V., D. Taskovski, Z. Kokolanski, D. Denic, D. Zivanovic i M. Simic. "Signal conditioning for power quality". W 2011 11th International Conference on Electrical Power Quality and Utilisation - (EPQU). IEEE, 2011. http://dx.doi.org/10.1109/epqu.2011.6128809.
Pełny tekst źródłaStanco, J., G. Sliwinski, J. Konefał, P. Kukielło, G. Rabczuk, Z. Rozkwitalski i R. Zaremba. "Investigation of a transverse-excited high-power CO2 laser". W International Laser Science Conference. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.thl7.
Pełny tekst źródłaMazurek, Gustaw. "Signal Conditioning for DAB-Illuminated Passive Radar". W 2021 Signal Processing Symposium (SPSympo). IEEE, 2021. http://dx.doi.org/10.1109/spsympo51155.2020.9593458.
Pełny tekst źródłaLevonen, M. J., L. Persson i S. McLaughlin. "Conditioning Lofargrams Using Empirical Mode Decomposition". W 2006 7th Nordic Signal Processing Symposium. IEEE, 2006. http://dx.doi.org/10.1109/norsig.2006.275220.
Pełny tekst źródłaErtugrul, Omer Faruk, i Mehmet Emin Tagluk. "Learning with classical conditioning". W 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830382.
Pełny tekst źródłaZhao, Guopeng, Zhiqi Shen, Chunyan Miao i Zhihong Man. "On improving the conditioning of extreme learning machine: A linear case". W Signal Processing (ICICS). IEEE, 2009. http://dx.doi.org/10.1109/icics.2009.5397617.
Pełny tekst źródłaSzakacs-Simon, Peter, Sorin-Aurel Moraru i Florian Neukart. "Signal conditioning techniques for health monitoring devices". W 2012 35th International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2012. http://dx.doi.org/10.1109/tsp.2012.6256369.
Pełny tekst źródłaAmblard, Pierre-Olivier, i Olivier J. J. Michel. "Causal conditioning and instantaneous coupling in causality graphs". W 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319633.
Pełny tekst źródłaUlaganathan, Abdul Lateef, K. M. Sadyojatha i Raymond Irudayaraj. "Design and implementation of front end biological signal conditioning". W 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT). IEEE, 2017. http://dx.doi.org/10.1109/iceeccot.2017.8284586.
Pełny tekst źródłaRaporty organizacyjne na temat "Conditioning and processing electrical signal"
Fayette, Daniel F., i Nancy A. Koziarz. Electrical Characterization of Signal Processing Microcircuit. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1989. http://dx.doi.org/10.21236/ada209078.
Pełny tekst źródłaBruce i Fiore. L51629 Users Manual-Field Validation of the Low-Frequency Eddy Current Instrument-Software Listings. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), październik 1990. http://dx.doi.org/10.55274/r0010602.
Pełny tekst źródła