Academic literature on the topic 'Signal detection'
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Journal articles on the topic "Signal detection"
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 (July 13, 2015): 300–303. http://dx.doi.org/10.3846/mla.2015.787.
Full textThompson, William Forde, and Max Coltheart. "The role of signal detection and amplification in the induction of emotion by music." Behavioral and Brain Sciences 31, no. 5 (October 2008): 597–98. http://dx.doi.org/10.1017/s0140525x08005529.
Full textPark, Do-Hyun, Min-Wook Jeon, Da-Min Shin, and Hyoung-Nam Kim. "LPI Radar Detection Based on Deep Learning Approach with Periodic Autocorrelation Function." Sensors 23, no. 20 (October 18, 2023): 8564. http://dx.doi.org/10.3390/s23208564.
Full textEgberts, Toine C. G. "Signal Detection." Drug Safety 30, no. 7 (2007): 607–9. http://dx.doi.org/10.2165/00002018-200730070-00006.
Full textCheng, Yu-Chung Norman, and E. Mark Haacke. "Signal Detection." Current Protocols in Magnetic Resonance Imaging 00, no. 1 (March 2001): B2.1.1—B2.1.10. http://dx.doi.org/10.1002/0471142719.mib0201s00.
Full textCheng, Yu-Chung Norman, and E. Mark Haacke. "Signal Detection." Current Protocols in Magnetic Resonance Imaging 13, no. 1 (April 2005): B2.1.1—B2.1.10. http://dx.doi.org/10.1002/0471142719.mib0201s13.
Full textKumar, Anoop, and Henna Khan. "Signal Detection and their Assessment in Pharmacovigilance." Open Pharmaceutical Sciences Journal 2, no. 1 (December 17, 2015): 66–73. http://dx.doi.org/10.2174/1874844901502010066.
Full textLiu, Shuai, Xiang Chen, Ying Li, and Xiaochun Cheng. "Micro-Distortion Detection of Lidar Scanning Signals Based on Geometric Analysis." Symmetry 11, no. 12 (December 3, 2019): 1471. http://dx.doi.org/10.3390/sym11121471.
Full textKhudov, Hennadii, Serhii Yarosh, Oleksandr Kostyria, Oleksandr Oleksenko, Mykola Khomik, Andrii Zvonko, Bohdan Lisohorskyi, Petro Mynko, Serhii Sukonko, and Taras Kravets. "Improving a method for non-coherent processing of signals by a network of two small-sized radars for detecting a stealth unmanned aerial vehicle." Eastern-European Journal of Enterprise Technologies 1, no. 9 (127) (February 28, 2024): 6–13. http://dx.doi.org/10.15587/1729-4061.2024.298598.
Full textWang, Liwei, Senxiang Lu, Xiaoyuan Liu, and Jinhai Liu. "Two-Stage Ultrasound Signal Recognition Method Based on Envelope and Local Similarity Features." Machines 10, no. 12 (November 23, 2022): 1111. http://dx.doi.org/10.3390/machines10121111.
Full textDissertations / Theses on the topic "Signal detection"
Park, Subok. "Signal detection with random backgrounds and random signals." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280729.
Full textLie, Celia, and n/a. "Punishment and human signal detection." University of Otago. Department of Psychology, 2007. http://adt.otago.ac.nz./public/adt-NZDU20071004.134135.
Full textHuang, Wensheng. "Wavelet Transform Adaptive Signal Detection." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19991104-151423.
Full textWavelet Transform Adaptive Signal Detection is a signal detection method that uses the Wavelet Transform Adaptive Filter (WTAF). The WTAF is the application of adaptive filtering on the subband signals obtained by wavelet decomposition and reconstruction. The WTAF is an adaptive filtering technique that leads to good convergence and low computational complexity. It can effectively adapt to non-stationary signals, and thus could find practical use for transient signals. Different architectures for implementing the WTAF were proposed and studied in this dissertation. In terms of the type of the wavelet transform being used, we presented the DWT based WTAF and the wavelet tree based WTAF. In terms of the position of the adaptive filter in the signal paths of the system, we presented the Before-Reconstruction WTAF, in which the adaptive filter is placed before the reconstruction filter; and the After-Reconstruction WTAF, in which the adaptive filter is placed after the reconstruction filter. This could also be considered as implementing the adaptive filtering in different domains, with the Before-Reconstruction structure corresponding to adaptive filtering in the scale-domain, and the After-Reconstruction structure corresponding to adaptive filtering in the time-domain. In terms of the type of the error signal used in the WTAF, we presented the output error based WTAF and the subband error based WTAF. In the output error based WTAF, the output error signal is used as input to the LMS algorithm. In the subband error based WTAF, the error signal in each subband is used as input to the LMS algorithm. The algorithms for the WTAF were also generalized in this work. In order to speed up the calculation, we developed the block LMS based WTAF, which modifies the weights of the adaptive filter block-by-block instead of sample-by-sample. Experimental studies were performed to study the performance of different implementation schemes for the WTAF. Simulations were performed on different WTAF algorithms with a sinusoidal input and with a pulse input. The speed and stability properties of each structure were studied experimentally and theoretically. It was found that different WTAF structures had different tradeoffs in terms of stability, performance, computational complexity, and convergence speed. The WTAF algorithms were applied to an online measurement system for fabric compressional behavior and they showed encouraging results. A 3-stage DWT based WTAF and a block WTAF based on a 3-stage DWT was employed to process the noisy force-displacement signal acquired from the online measurement system. The signal-to-noise ratio was greatly increased by applying these WTAFs, which makes a lower sampling rate a possibility. The reduction of the required time for data sampling and processing greatly improves the system speed to meet faster testing requirements. The WTAF algorithm could also be used in other applications requiring fast processing, such as in the real-time applications in communications, measurement, and control.
Krause, Michael. "Signal Detection for Overloaded Receivers." Thesis, University of Canterbury. Department of Electrical and Computer Engineering, 2009. http://hdl.handle.net/10092/2959.
Full textArslanian, A. S. "Spectral techniques for signal detection." Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372465.
Full textShikhaliev, Azer P. "Techniques for Adaptive Signal Detection." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1610123085674943.
Full textGallas, Brandon Dominic. "Signal detection in lumpy backgrounds." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290090.
Full textZhang, Hongbin. "Signal detection in medical imaging." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290512.
Full textMabrouk, Mohamed Hussein Emam Mabrouk. "Signal Processing of UWB Radar Signals for Human Detection Behind Walls." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31945.
Full textPike, Cameron M. "Multipath signal detection using the bispectrum." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1183467926.
Full textBooks on the topic "Signal detection"
Tuzlukov, Vyacheslav P. Signal Detection Theory. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8.
Full textTuzlukov, V. P. Signal Detection Theory. Boston, MA: Birkhäuser Boston, 2001.
Find full textBarkat, Mourad. Signal detection and estimation. Boston: Artech House, 1991.
Find full textSong, Iickho. Advanced Theory of Signal Detection: Weak Signal Detection in Generalized Observations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.
Find full textJinsoo, Bae, and Ki Sun Yong 1968-, eds. Advanced theory of signal detection: Weak signal detection in generalized observations. Berlin: Springer, 2002.
Find full textSong, Iickho, Jinsoo Bae, and Sun Yong Kim. Advanced Theory of Signal Detection. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04859-7.
Full textHart, G. F. Wind propeller signal detection improvements. Fayetteville, Tenn: Tennessee Applied Physics, Inc., 1992.
Find full textD, Whalen Anthony, and Whalen Anthony D, eds. Detection of signals in noise. 2nd ed. San Diego: Academic Press, 1995.
Find full text1945-, Papantoni-Kazakos P., ed. Detection and estimation. New York: Computer Science Press, 1990.
Find full text1925-, Thomas John Bowman, ed. Signal detection in non-Gaussian noise. New York: Springer-Verlag, 1988.
Find full textBook chapters on the topic "Signal detection"
Elsner, James B., and Anastasios A. Tsonis. "Signal Detection." In Singular Spectrum Analysis, 89–112. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2514-8_7.
Full textNahler, Gerhard. "signal detection." In Dictionary of Pharmaceutical Medicine, 169. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1283.
Full textEvans, David C. "Signal Detection." In Bottlenecks, 85–94. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2580-6_8.
Full textRobinson, Michael. "Detection." In Topological Signal Processing, 85–131. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-36104-3_4.
Full textTuzlukov, Vyacheslav P. "Detection Performances." In Signal Detection Theory, 541–630. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8_7.
Full textMohanty, Nirode. "Detection of Signals." In Signal Processing, 457–648. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-011-7044-4_4.
Full textTuzlukov, Vyacheslav P. "Introduction." In Signal Detection Theory, 1–9. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8_1.
Full textTuzlukov, Vyacheslav P. "Classical Signal Detection Theory." In Signal Detection Theory, 11–37. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8_2.
Full textTuzlukov, Vyacheslav P. "Modern Signal Detection Theory." In Signal Detection Theory, 38–224. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8_3.
Full textTuzlukov, Vyacheslav P. "Generalized Approach." In Signal Detection Theory, 225–93. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4612-0187-8_4.
Full textConference papers on the topic "Signal detection"
Mitrevski, Jovan. "Low Energy LArTPC Signal Detection Using Anomaly Detection." In Low Energy LArTPC Signal Detection Using Anomaly Detection. US DOE, 2023. http://dx.doi.org/10.2172/2204657.
Full textKolodiy, Zenoviy, and Andriy Kolodiy. "Detection of Informational Signal Among Noisy Signals." In 2023 International Conference on Noise and Fluctuations (ICNF). IEEE, 2023. http://dx.doi.org/10.1109/icnf57520.2023.10472749.
Full textLei, Zhongding, and Francois Chin. "WiMax signal detection." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753616.
Full textPlazenet, Thibaud, Thierry Boileau, Cyrille Caironi, and Babak Nahid-Mobarakeh. "Signal processing tools for non-stationary signals detection." In 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2018. http://dx.doi.org/10.1109/icit.2018.8352466.
Full textKatz, A., X. J. Lu, E. G. Kanterikis, Yao Li, Yan Zhang, and N. P. Caviris. "Real-time optoelectronic Gabor detection of transient signals." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.ml6.
Full textHao, Long, Dan Liu, Fei Liu, QingXin Wang, Lin Liang, and GuangHua Xu. "Research on the Weak Signal Detection of Bearing Fault Based on Duffing Oscillator." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86892.
Full textNair, Arya Sukumaran, Peter Hoffrogge, Peter Czurratis, Christian Hollerith, Alexander Roch, Alireza Haghighat, Klaus Pressel, Frank Zudock, Mario Wolf, and Elfgard Kühnicke. "1D-ResNet Framework for Ultrasound Signal Classification." In ISTFA 2022. ASM International, 2022. http://dx.doi.org/10.31399/asm.cp.istfa2022p0021.
Full textChuang, C. H., and Y. L. Lo. "Heterodyne Detection Signal Analysis in Apertureless Scanning Near-Field Optical Microscopy." In ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52186.
Full textBeck, M., M. E. Anderson, and M. G. Raymer. "Imaging through Scattering Media Using Pulsed Homodyne Detection." In Advances in Optical Imaging and Photon Migration. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/aoipm.1994.ci.257.
Full textPeng, Chubing, M. Mansuripur, Kenichi Nagata, and Takeo Ohta. "Edge detection readout signal and cross-talk in phase-change optical data storage." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/ods.1998.tub.3.
Full textReports on the topic "Signal detection"
Broder, Bruce, and Stuart Schwartz. Quickest Detection Procedures and Transient Signal Detection. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada230068.
Full textHughes, Timothy M. A Signal Energy Detection Implementation. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada372823.
Full textBaker, C. R., M. R. Frey, and A. F. Gualtierotti. Some Results on Nongaussian Signal Detection. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada207255.
Full textRao, C. R. Some Recent Results in Signal Detection. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada177197.
Full textTEXAS UNIV AT AUSTIN APPLIED RESEARCH LABS. Continuation of Signal Detection Using Polyspectra. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada280176.
Full textSchlesinger, M. E., and T. P. Barnett. On greenhouse gas signal detection strategies. Office of Scientific and Technical Information (OSTI), February 1989. http://dx.doi.org/10.2172/6282370.
Full textForrest, Robert. Convolutional Neural Networks for Signal Detection. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1813655.
Full textZhang, Xin Zhu. Spatial CUSUM for Signal Region Detection. Ames (Iowa): Iowa State University, January 2018. http://dx.doi.org/10.31274/cc-20240624-1317.
Full textVALLEY, MICHAEL T., BRUCE D. HANSCHE, THOMAS L. PAEZ, ANGEL URBINA, and DENNIS M. ASHBAUGH. Advanced Signal Processing for Thermal Flaw Detection. Office of Scientific and Technical Information (OSTI), September 2001. http://dx.doi.org/10.2172/787641.
Full textForrest, R. N. Active Sonar Detection and Signal Excess Fluctuations. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada200932.
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