Relevant bibliographies by topics / Signal

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Signal'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Signal"

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Gudiškis, Andrius. "HEART BEAT DETECTION IN NOISY ECG SIGNALS USING STATISTICAL ANALYSIS OF THE AUTOMATICALLY DETECTED ANNOTATIONS / ŠIRDIES DŪŽIŲ NUSTATYMAS IŠ IŠKRAIPYTŲ EKG SIGNALŲ ATLIEKANT AUTOMATIŠKAI APTIKTŲ ATSKAITŲ STATISTINĘ ANALIZĘ." Mokslas – Lietuvos ateitis 7, no. 3 (2015): 300–303. http://dx.doi.org/10.3846/mla.2015.787.

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This paper proposes an algorithm to reduce the noise distortion influence in heartbeat annotation detection in electrocardiogram (ECG) signals. Boundary estimation module is based on energy detector. Heartbeat detection is usually performed by QRS detectors that are able to find QRS regions in a ECG signal that are a direct representation of a heartbeat. However, QRS performs as intended only in cases where ECG signals have high signal to noise ratio, when there are more noticeable signal distortion detectors accuracy decreases. Proposed algorithm uses additional data, taken from arterial bloo
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Filonenko, Sergey, Tatiana Nimchenko, and Alexandr Kosmach. "MODEL OF ACOUSTIC EMISSION SIGNAL AT THE PREVAILING MECHANISM OF COMPOSITE MATERIAL MECHANICAL DESTRUCTION." Aviation 14, no. 4 (2010): 95–103. http://dx.doi.org/10.3846/aviation.2010.15.

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A model of acoustic emission signal formation at the prevailing mechanism of the destruction of composite materials is considered. The results of acoustic emission signal modelling are presented, taking into account the variable velocity of loading change. Acoustic emission signal experimental research results corresponding to theoretical research results are considered in this paper. It is shown that irregularity of the trailing edge of the acoustic emission signal is influenced by the change in the rate of the destruction process in composites. Santrauka Išnagrinetas akustines emisijos signa
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Shellenberger, Richard O., and Paul Lewis. "Signal Control by Six Signals." Psychological Reports 63, no. 1 (1988): 311–18. http://dx.doi.org/10.2466/pr0.1988.63.1.311.

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In previous signal-control experiments, several types of stimuli elicited pecking when paired with peck-contingent grain. Here, we compared the effectiveness of an auditory stimulus and five visual stimuli. For 12 pigeons, the first keypeck to follow the offset of a 4-sec. signal was reinforced with grain. We examined the following signals: a tone, a white keylight, a dark keylight, a keylight that changed from white to red, houselight onset, and houselight offset. All signals acquired strong control over responding. According to one measure, percent of signals with a peck, houselight offset s
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Hughes, Melissa. "Deception with honest signals: signal residuals and signal function in snapping shrimp." Behavioral Ecology 11, no. 6 (2000): 614–23. http://dx.doi.org/10.1093/beheco/11.6.614.

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Shelishiyah, R., M. Bharani Dharan, T. Kishore Kumar, R. Musaraf, and Thiyam Deepa Beeta. "Signal Processing for Hybrid BCI Signals." Journal of Physics: Conference Series 2318, no. 1 (2022): 012007. http://dx.doi.org/10.1088/1742-6596/2318/1/012007.

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Abstract The brain signals can be converted to a command to control some external device using a brain-computer interface system. The unimodal BCI system has limitations like the compensation of the accuracy with the increase in the number of classes. In addition to this many of the acquisition systems are not robust for real-time application because of poor spatial or temporal resolution. To overcome this, a hybrid BCI technology that combines two acquisition systems has been introduced. In this work, we have discussed a preprocessing pipeline for enhancing brain signals acquired from fNIRS (
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Minasian, R. A. "Photonic signal processing of microwave signals." IEEE Transactions on Microwave Theory and Techniques 54, no. 2 (2006): 832–46. http://dx.doi.org/10.1109/tmtt.2005.863060.

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Milligan, Graeme. "All the right signals Signal transduction." Trends in Biochemical Sciences 22, no. 10 (1997): 410. http://dx.doi.org/10.1016/s0968-0004(97)82532-7.

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Lessard, Charles S. "Signal Processing of Random Physiological Signals." Synthesis Lectures on Biomedical Engineering 1, no. 1 (2006): 1–232. http://dx.doi.org/10.2200/s00012ed1v01y200602bme001.

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Birdsall, Theodore G., Kurt Metzger, and Matthew A. Dzieciuch. "Signals, signal processing, and general results." Journal of the Acoustical Society of America 96, no. 4 (1994): 2343–52. http://dx.doi.org/10.1121/1.410106.

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Shinpaugh, K. A., R. L. Simpson, A. L. Wicks, S. M. Ha, and J. L. Fleming. "Signal-processing techniques for low signal-to-noise ratio laser Doppler velocimetry signals." Experiments in Fluids 12-12, no. 4-5 (1992): 319–28. http://dx.doi.org/10.1007/bf00187310.

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Dissertations / Theses on the topic "Signal"

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Saruwatari, Hiroshi. "BLIND SIGNAL SEPARATION OF AUDIO SIGNALS." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2006. http://hdl.handle.net/2237/10406.

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Östlund, Nils. "Adaptive signal processing of surface electromyogram signals." Doctoral thesis, Umeå universitet, Strålningsvetenskaper, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-743.

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Electromyography is the study of muscle function through the electrical signals from the muscles. In surface electromyography the electrical signal is detected on the skin. The signal arises from ion exchanges across the muscle fibres’ membranes. The ion exchange in a motor unit, which is the smallest unit of excitation, produces a waveform that is called an action potential (AP). When a sustained contraction is performed the motor units involved in the contraction will repeatedly produce APs, which result in AP trains. A surface electromyogram (EMG) signal consists of the superposition of man
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Östlund, Nils. "Adaptive signal processing of surface electromyogram signals /." Umeå : Department of Radiation Sciences, Umeå University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-743.

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Palekar, Trishul Ajit. "Signal optimization at isolated intersections using pre-signals." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4279.

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This research proposes a new signal operation strategy aimed at efficient utilization of green time by cutting down on the start up and response loss times. The idea is to have a "pre-signal" on each main approach a few hundred feet upstream of the intersection in addition to the main intersection signal, which is coordinated with the pre-signal. The offset between the main and pre-signal ensures that the majority of start up losses does not occur at the main signal. The benefits of the system under various traffic conditions were evaluated based on analysis of the queue discharge process and
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Chan, M. K. "Adaptive signal processing algorithms for non-Gaussian signals." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269023.

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Bland, Denise. "Alias-free signal processing of nonuniformly sampled signals." Thesis, University of Westminster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322992.

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Park, Subok. "Signal detection with random backgrounds and random signals." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280729.

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In this dissertation we explore theoretical and computational methods to investigate Bayesian ideal observers for performing signal-detection tasks. Object models are used to take into account object variability in image backgrounds and signals for the detection tasks. In particular, lumpy backgrounds (LBs) and Gaussian signals are used for various paradigms of signal-detection tasks. Simplified pinhole imaging systems in nuclear medicine are simulated for this work. Markov-chain Monte Carlo (MCMC) methods that estimate the ideal observer test statistic, the likelihood ratio, for signal-known-
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Li, Jian. "Array signal processing for polarized signals and signals with known waveforms /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487687485808063.

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Hannaske, Roland. "Fast Digitizing and Digital Signal Processing of Detector Signals." Forschungszentrum Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:d120-qucosa-27888.

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A fast-digitizer data acquisition system recently installed at the neutron time-of-flight experiment nELBE, which is located at the superconducting electron accelerator ELBE of Forschungszentrum Dresden-Rossendorf, is tested with two different detector types. Preamplifier signals from a high-purity germanium detector are digitized, stored and finally processed. For a precise determination of the energy of the detected radiation, the moving-window deconvolution algorithm is used to compensate the ballistic deficit and different shaping algorithms are applied. The energy resolution is determined
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Case, David Robert. "Real-time signal processing of multi-path video signals." Thesis, University of Salford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334170.

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Books on the topic "Signal"

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Lessard, Charles S. Signal Processing of Random Physiological Signals. Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-01610-3.

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von, Heijne Gunnar, ed. Signal peptidases. R.G. Landes Co., 1994.

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DeFelice, Cynthia C. Signal. Scholastic, 2011.

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DeFelice, Cynthia C. Signal. Farrar, Straus and Giroux, 2009.

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Böhme, Klaus-Richard. Signal. Bokförlaget DN, 2005.

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Dimoski, Slave Ǵorǵo. Signal. Tri, 2002.

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(Firm), Lotus, ed. Signal seminar guide: Lotus Signal. Lotus, 1985.

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Jean-Louis, Lacoume, Durrani Tariq S, Stora Raymond 1930-, Université scientifique et médicale de Grenoble., and NATO Advanced Study Institute, eds. Traitement du signal =: Signal processing. North-Holland, 1987.

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Palme, Klaus, ed. Signals and Signal Transduction Pathways in Plants. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0239-1.

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Hucknall, D. J. Signals and signal-boxes of Great Britain. Sutton Pub., 1998.

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Book chapters on the topic "Signal"

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Mueller, Werner A., Monika Hassel, and Maura Grealy. "Controlling Signals, Signal Propagation and Signal Transduction." In Development and Reproduction in Humans and Animal Model Species. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43784-1_11.

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Mazor, Stanley, and Patricia Langstraat. "Signals & Signal Assignments." In A Guide to VHDL. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-2114-0_5.

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Wang, K. C. "Signals and Signal Processing." In Systems Programming in Unix/Linux. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92429-8_6.

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Wang, K. C. "Signals and Signal Processing." In Design and Implementation of the MTX Operating System. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17575-1_9.

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Mazor, Stanley, and Patricia Langstraat. "Signals & Signal Assignments." In A Guide to VHDL. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3216-3_5.

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Barksdale, William J. "Communications Signals and Signal Processing." In Practical Computer Data Communications. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5164-1_3.

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Schwaderer, W. David. "OCP Signals and Signal Groupings." In Introduction to Open Core Protocol. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-0103-2_4.

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Cao, Jiannong, and Yanni Yang. "Wireless Signals and Signal Processing." In Wireless Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08345-7_2.

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Nahler, Gerhard. "signal." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1282.

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Weik, Martin H. "signal." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_17334.

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Conference papers on the topic "Signal"

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Hecker, Lukas, Amir Adler, Dimitrios Pantazis, Mati Wax, and Amita Giri. "Localization of Brain Signals by Signal Subspace Matching." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980755.

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Martínez-Guerrero, María, Jonathan Esquivel, Rodolfo Martínez-Manuel, Luis M. Valentín-Coronado, Silvia Diaz, and Miguel Ángel Armendáriz. "Pattern recognition algorithm based on interferometric signal vectorization." In Latin America Optics and Photonics Conference. Optica Publishing Group, 2024. https://doi.org/10.1364/laop.2024.m4b.5.

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A pattern recognition algorithm for interferometric signals is presented. Using a database of vectorized reference signals, the measured signal is identified based on the similarity obtained through the dot product operation.
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Chevalier, Dylan, Pascal Scalart, Gaël Simon, et al. "Analog FFE Coefficients Optimization Using MMSE-based LMS Algorithm in PON Context." In Signal Processing in Photonic Communications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/sppcom.2024.sptu2h.5.

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A novel approach is proposed for Analog Signal Processing (ASP) in enhanced 50G-PON using analog FFE filters based on MMSE technique. Performance are validated through experimental transmission of electrical NRZ signals.
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Cafiero, A., M. Frullone, and A. M. Serra. "Compatibility Criteria Between Television Signal and Spread-Spectrum Signals." In EMC_1986_Wroclaw. IEEE, 1986. https://doi.org/10.23919/emc.1986.10828421.

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Rutenbar, Rob A., David Harame, Kurt Johnson, et al. "Mixed signals on mixed-signal." In the 40th conference. ACM Press, 2003. http://dx.doi.org/10.1145/775832.775904.

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Blundell, V., T. Clarke, and D. Williams. "Synthetic signals for signal processing." In Sensor Signal Processing for Defence (SSPD 2010). IET, 2010. http://dx.doi.org/10.1049/ic.2010.0229.

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Assaleh, Khaled T., and Richard J. Mammone. "Signal-adaptive decomposition of multicomponent signals." In SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, edited by Franklin T. Luk. SPIE, 1993. http://dx.doi.org/10.1117/12.160441.

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Minasian, R. A., E. H. W. Chan, and Xiaoke Yi. "Photonic signal processing of microwave signals." In 35th Australian Conference on Optical Fibre Technology (ACOFT 2010). IEEE, 2010. http://dx.doi.org/10.1109/acoft.2010.5929926.

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Ashtari, Ali, Gabriel Thomas, Hector Garces, and Benjamin C. Flores. "Radar signal design using chaotic signals." In 2007 International Waveform Diversity and Design Conference. IEEE, 2007. http://dx.doi.org/10.1109/wddc.2007.4339442.

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Saeidi, Rahim, Pejman Mowlaee, Tomi Kinnunen, et al. "Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.1131.

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Reports on the topic "Signal"

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Fries, Ryan, Yan Qi, Anne Werner, et al. Optimum Traffic Signal Condition Assessment and Strategic Maintenance Planning. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-019.

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The objectives of this study include developing condition assessment procedures, condition thresholds, and improvement plans for traffic signals in Illinois. This project first synthesized previous research and current practices of transportation agencies related to the management and lifespan expectations of traffic signals and their components. Interviews were then conducted with personnel familiar with traffic signal management practices in Illinois, and field work was conducted to identify refinements to then-proposed methods and condition thresholds. The project’s technical review panel a
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Easton, Jr., R. Signal processing. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/5071979.

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Miller, Jr, and Willard. Signal Processing. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada206662.

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Cromwell, R. Signal Processing Studies Program Optical Signal Amplification. Volume 2. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188054.

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Roehrig, H., and M. Browne. Signal Processing Studies Program Optical Signal Amplification. Volume 1. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188055.

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Andrews, Michael, and David James. SBNR (Signed Binary Number Representations) Digital Signal Processor Architecture. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184603.

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Basu, Sankar. Multidimensional Signal Processing. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada200954.

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Thomas, J. B., and K. Steiglitz. Digital Signal Processing. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada203744.

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Armenta, Mikaela, Laura Epifanovskaya, Joshua Letchford, et al. SIGNAL Game Manual. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1643226.

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Baraniuk, Richard G. Compressive Signal Processing. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada530830.

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