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Добірка наукової літератури з теми "Frequency"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 27 липня 2024

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Статті в журналах з теми "Frequency"

Jarrah, Mu’tasem, and Naomie Salim. "Stock Market Prediction Based on Term Frequency-Inverse Document Frequency." Journal of Economics, Business and Management 4, no. 3 (2016): 183–87. http://dx.doi.org/10.7763/joebm.2016.v4.388.

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Rana, Shilpesh C., Gaurang I. Joshi, and Dr N. J. Shrimali Dr. N. J. Shrimali. "Flood Frequency Study For Kadana Reservoir Projectby Gumbel’s Frequency Distribution Method." Indian Journal of Applied Research 4, no. 1 (October 1, 2011): 213–16. http://dx.doi.org/10.15373/2249555x/jan2014/63.

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Chao Zhang, Chao Zhang, Dongning Sun Dongning Sun, Weilin Xie Weilin Xie, Zongyang Xia Zongyang Xia, Siwei Wang Siwei Wang, Hongxiao Shi Hongxiao Shi, Yitian Tong Yitian Tong, Yi Dong Yi Dong, and Weisheng Hu Weisheng Hu. "Stable multi-frequency generator based on phase-locked optical frequency combs." Chinese Optics Letters 12, no. 2 (2014): 020602–20605. http://dx.doi.org/10.3788/col201412.020602.

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MARIN, Bebe-Bucur, Adrian NĂSUI, and Sebastian SPRINCEANĂ. "ASPECTS ABOUT FREQUENCY SYNTHESIZERS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 273–80. http://dx.doi.org/10.19062/2247-3173.2016.18.1.37.

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Chen, Chaoyong, Chunqing Gao, Huixing Dai, and Qing Wang. "Single-frequency Er:YAG ceramic pulsed laser with frequency stability close to 100 kHz." Chinese Optics Letters 20, no. 4 (2022): 041402. http://dx.doi.org/10.3788/col202220.041402.

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Yukun Luo, Yukun Luo, Shuhua Yan Shuhua Yan, Aiai Jia Aiai Jia, Chunhua Wei Chunhua Wei, Zehuan Li Zehuan Li, Enlong Wang Enlong Wang, and and Jun Yang and Jun Yang. "Revisiting the laser frequency locking method using acousto-optic frequency modulation transfer spectroscopy." Chinese Optics Letters 14, no. 12 (2016): 121401–5. http://dx.doi.org/10.3788/col201614.121401.

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Zhou, Yuewen, Fangzheng Zhang, and Shilong Pan. "Instantaneous frequency analysis of broadband LFM signals by photonics-assisted equivalent frequency sampling." Chinese Optics Letters 19, no. 1 (2021): 013901. http://dx.doi.org/10.3788/col202119.013901.

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Bintrim, Sylvia J., and Timothy C. Berkelbach. "Full-frequency GW without frequency." Journal of Chemical Physics 154, no. 4 (January 28, 2021): 041101. http://dx.doi.org/10.1063/5.0035141.

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Bauch, A., and H. R. Telle. "Frequency standards and frequency measurement." Reports on Progress in Physics 65, no. 5 (April 15, 2002): 789–843. http://dx.doi.org/10.1088/0034-4885/65/5/203.

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Gans, T., J. Schulze, D. O’Connell, U. Czarnetzki, R. Faulkner, A. R. Ellingboe, and M. M. Turner. "Frequency coupling in dual frequency capacitively coupled radio-frequency plasmas." Applied Physics Letters 89, no. 26 (December 25, 2006): 261502. http://dx.doi.org/10.1063/1.2425044.

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Дисертації з теми "Frequency"

Saarinen, Linn. "The Frequency of the Frequency : On Hydropower and Grid Frequency Control." Doctoral thesis, Uppsala universitet, Elektricitetslära, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-308441.

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Variations in the electricity consumption and production connected to the power system have to be balanced by active control. Hydropower is the most important balancing resource in the Nordic system, and will become even more important as the share of variable renewable energy sources increases. This thesis concerns balancing of active power, especially the real-time balancing called frequency control. The thesis starts in a description of the situation today, setting up models for the behaviour of hydropower units and the power system relevant to frequency control, and comparing the models with experiments on several hydropower units and on the response of the Nordic grid. It is found that backlash in the regulating mechanisms in hydropower units have a strong impact on the quality of the delivered frequency control. Then, an analysis of what can be done right now to improve frequency control and decrease its costs is made, discussing governor tuning, filters and strategies for allocation of frequency control reserves. The results show that grid frequency quality could be improved considerably by retuning of hydropower governors. However, clear technical requirements and incentives for good frequency control performance are needed. The last part of the thesis concerns the impact from increased electricity production from variable renewable energy sources. The induced balancing need in terms of energy storage volume and balancing power is quantified, and it is found that with large shares of wind power in the system, the energy storage need over the intra-week time horizon is drastically increased. Reduced system inertia due to higher shares of inverter connected production is identified as a problem for the frequency control of the system. A new, linear synthetic inertia concept is suggested to replace the lost inertia and damping. It is shown that continuously active, linear synthetic inertia can improve the frequency quality in normal operation and decrease wear and tear of hydropower units delivering frequency control.

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Walker, Scott A. Luna Lauro. "Frequency mapping for the operational frequency manager." Monterey, Calif. : Naval Postgraduate School, 2008. http://bosun.nps.edu/uhtbin/hyperion-image.exe/08Mar%5FWalker%5FScott.pdf.

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Thesis (M.S. in Information Technology Management)--Naval Postgraduate School, March 2008.
Thesis Advisor(s): Bordetsky, Alex ; Bourakov, Eugene. "March 2008." Description based on title screen as viewed on May 1, 2008. Includes bibliographical references (p. 119). Also available in print.

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Luna, Lauro. "Frequency mapping for the operational frequency manager." Thesis, Monterey, California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/4231.

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The Department of Defense (DOD) has placed great emphasis on the networking and connectivity of forces over the last several years. Programs include the Global Information Grid (GIG), Force Net, and Net Centric Warfare to name a few. These programs emphasize and stress the warfighter's need to stay connected to their appropriate operational command and control structure during operations. The value of this connectivity is crucial to both the individual warfighter and the command structure as a force multiplier in modern warfare. One solution to this problem of connectivity is giving our operating forces the tools and knowledge of existing network infrastructure that details the information regarding the location, frequency and power out of existing nodes and spectrum analysis. The knowledge and ability of a trained Frequency Manager will allow our forces to use the full electromagnetic spectrum to maintain connectivity with their command structure. The goal of this research is to provide a systematic approach to detecting existing network and telecommunication frequencies and mapping their positions. This information can then used by a Frequency Manager for planning operational test exercises and for operational forces that may operate in an area that is frequency saturated. In these situations and with the knowledge of existing frequencies these forces will be better able to manage, configure, and exploit existing network communications. The experimental study will encompass the collection, data processing, modeling and mapping of existing networks and their electromagnetic effects in both a rural and urban environment using the TNT 802.16 OFDM test bed in the San Francisco Bay area and Camp Roberts.

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Wong, S. W. "Frequency hopping data transmission at high frequency." Thesis, University of Manchester, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.317262.

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Mai, Cuong. "Frequency Estimation Using Time-Frequency Based Methods." ScholarWorks@UNO, 2007. http://scholarworks.uno.edu/td/571.

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Анотація:

Any periodic signal can be decomposed into a sum of oscillating functions. Traditionally, cosine and sine segments have been used to represent a single period of the periodic signal (Fourier Series). In more general cases, each of these functions can be represented by a set of spectral parameters such as its amplitude, frequency, phase, and the variability of its instantaneous spectral components. The accuracy of these parameters depends on several processing variables such as resolution, noise level, and bias of the algorithm used. This thesis presents some background of existing frequency estimation techniques and proposes a new technique for estimating the instantaneous frequency of signals using short sinusoid-like basis functions. Furthermore, it also shows that the proposed algorithm can be implemented in a popular embedded DSPmicroprocessor for practical use. This algorithm can also be implemented using more complex features on more resourceful processing processors in order to improve estimation accuracy

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Ceylan, Oktay. "Resolving frequency ambiguities in step : frequency compressive receivers." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA374376.

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Thesis (M.S. in Systems Engineering) Naval Postgraduate School, December 1999.
"December 1999". Thesis advisor(s): D. Curtis Schleher. Includes bibliographical references (p. 129-130). Also available online.

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Shenouda, Hany H. "An agile frequency synthesizer for frequency hopping radio." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0016/MQ49683.pdf.

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Rohani-Mehdiabadi, Bijan. "Frequency discriminator detection in frequency-selective fading environments." Thesis, Curtin University, 1998. http://hdl.handle.net/20.500.11937/451.

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In recent years, millions of customers all over the world have been subscribing to mobile telephony services which are based on modern digital transmission. At the high transmission bit rates that these systems use, the mobile radio channel exhibits frequency-selective fading characteristics. Under such conditions, the received signal could experience significant intersymbol interference (ISI) from severe distortion to the waveform of the received baseband signal. Therefore, such techniques as adaptive waveform equalisation or adaptive maximum likelihood sequence estimation (MLSE) are used in modern digital mobile radio telephone systems to combat this undesirable ISI. These adaptive schemes have almost always been used in conjunction with coherent demodulation in the receivers.This study examines the application of noncoherent demodulation, in the form of frequency discriminator detection, as an alternative to coherent demodulation. The GSM (Global System for Mobile Communications) standard has been used as the basis for this investigation. It has been shown analytically that in the presence of frequency-selective fading, a propagation environment common to the GSM system, the use of frequency discriminator detection gives rise to nonlinear ISI in the demodulated signal. It has also been shown that frequency-selective fading could cause large unwanted "spikes" to appear in the demodulated signal, thus leading to a severe degradation in the bit-error-rate (BER) performance. Consequently, several waveform distortion cancellation schemes for combatting the nonlinear ISI have been formulated. The BER performances of these proposed schemes, under various propagation conditions, have been studied by computer simulation.Furthermore, it has been observed that the undesirable "spikes", that occur in the demodulated signal due to frequency-selective fading, could be suppressed by the use of inverse-limiting in conjunction with frequency discriminator detection. As a result, an effective adaptive detection scheme has been formulated, based on modelling the combination of the GMSK modulator, the mobile channel, the frequency discriminator, and any transmit and receive fitters, as a finite-state machine. The transmitted data is then detected using an MLSE. The BER performance of this proposed adaptive detection scheme has been extensively investigated by computer simulation. This has been carried out assuming various propagation conditions, including the two-ray fading channel model with equal path powers and relative delays of up to four bit periods, the maximum relative delay considered in the GSM system. Also, the effectiveness of the proposed adaptive detection scheme in combatting IS] has been investigated by computer simulation based on the six-ray GSM empirical propagation models for typical urban (TU), hilly terrain (HT) and rural area (RA) environments. The computer simulated results confirm that the voice grade performance required for the GSM system could be achieved by the proposed adaptive detection scheme in all the recommended GSM propagation models considered. Furthermore, the BER performance of the receiver remains unaffected by a carrier frequency offset of up to 2 kHz.

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Rohani-Mehdiabadi, Bijan. "Frequency discriminator detection in frequency-selective fading environments." Curtin University of Technology, School of Electrical and Computer Engineering, 1998. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=12148.

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Анотація:

In recent years, millions of customers all over the world have been subscribing to mobile telephony services which are based on modern digital transmission. At the high transmission bit rates that these systems use, the mobile radio channel exhibits frequency-selective fading characteristics. Under such conditions, the received signal could experience significant intersymbol interference (ISI) from severe distortion to the waveform of the received baseband signal. Therefore, such techniques as adaptive waveform equalisation or adaptive maximum likelihood sequence estimation (MLSE) are used in modern digital mobile radio telephone systems to combat this undesirable ISI. These adaptive schemes have almost always been used in conjunction with coherent demodulation in the receivers.This study examines the application of noncoherent demodulation, in the form of frequency discriminator detection, as an alternative to coherent demodulation. The GSM (Global System for Mobile Communications) standard has been used as the basis for this investigation. It has been shown analytically that in the presence of frequency-selective fading, a propagation environment common to the GSM system, the use of frequency discriminator detection gives rise to nonlinear ISI in the demodulated signal. It has also been shown that frequency-selective fading could cause large unwanted "spikes" to appear in the demodulated signal, thus leading to a severe degradation in the bit-error-rate (BER) performance. Consequently, several waveform distortion cancellation schemes for combatting the nonlinear ISI have been formulated. The BER performances of these proposed schemes, under various propagation conditions, have been studied by computer simulation.Furthermore, it has been observed that the undesirable "spikes", that occur in the demodulated signal due to frequency-selective fading, could be ++
suppressed by the use of inverse-limiting in conjunction with frequency discriminator detection. As a result, an effective adaptive detection scheme has been formulated, based on modelling the combination of the GMSK modulator, the mobile channel, the frequency discriminator, and any transmit and receive fitters, as a finite-state machine. The transmitted data is then detected using an MLSE. The BER performance of this proposed adaptive detection scheme has been extensively investigated by computer simulation. This has been carried out assuming various propagation conditions, including the two-ray fading channel model with equal path powers and relative delays of up to four bit periods, the maximum relative delay considered in the GSM system. Also, the effectiveness of the proposed adaptive detection scheme in combatting IS] has been investigated by computer simulation based on the six-ray GSM empirical propagation models for typical urban (TU), hilly terrain (HT) and rural area (RA) environments. The computer simulated results confirm that the voice grade performance required for the GSM system could be achieved by the proposed adaptive detection scheme in all the recommended GSM propagation models considered. Furthermore, the BER performance of the receiver remains unaffected by a carrier frequency offset of up to 2 kHz.

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Borda, Fortuny C. "New frequency reconfigurable antennas for wide frequency range tuning." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1544686/.

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Frequency reconfigurable antennas are becoming a compelling solution for the increasing demand of higher antenna capabilities, since they can operate at tunable narrow frequency bands while rejecting the undesirable signals from other bands. The aim of this project is to develop new designs for frequency reconfigurable antennas that can work across a wide frequency range (from 1 GHz up to 6 GHz) while maintaining stable radiation pattern and polarisation as required by the industry sponsors. A Vivaldi antenna is considered as the basis for a frequency reconfigurable design as it maintains the radiation characteristics in its operating band. Dual-band, tri-band and quad-band switched reconfigurable designs are proposed and analysed. These antennas are electronically-tuned using RF switches which adjust the impedance to reconfigure the operating band of the antenna. A prototype is tested in an anechoic chamber obtaining good performance. However, as the switches lead to several challenges, such as the effect of bias lines and the excessive insertion losses, a new approach is taken. State-of-the-art technologies are studied and fluid antennas are introduced. Current developments show that liquid antennas can have radiation efficiencies up to 90 % and conductivities close to copper, which makes them a good candidate to fulfil the requirements of this project. A hybrid Vivaldi antenna with an ionised water switch is proposed and a prototype tested. By introducing ionised water into a specific point of the feed line the operating frequency of the antenna is adjusted. The replacement of RF switches for electronically-controlled fluids brings high flexibility, suppression of the bias lines impact, dynamic adjustment and continuous frequency tuning compared to conventional antenna systems.

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Книги з теми "Frequency"

Thelma, Golden, Kim Christine Y, and Studio Museum in Harlem, eds. Frequency. New York, NY: Studio Museum in Harlem, 2005.

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Xiu, Liming, ed. From Frequency to Time-Average-Frequency. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119102175.

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Robin, Lindley, ed. Official aeronautical frequency directory: High frequency, very high frequency & much more. Londonderry, NH: Official Frequency Directory, 1990.

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Kroupa, Věnceslav F. Frequency Stability. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118310144.

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Steve, Dillon, ed. Global frequency. La Jolla, CA: WildStorm/DC Comics, 2004.

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Simon, Bisley, ed. Global frequency. La Jolla, CA: WildStorm Productions, 2005.

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Montana. Public Safety Communications Program. Frequency plan. St. Charles, Missouri: Spectrum Resources, Inc., 1999.

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Randall, R. B. Frequency analysis. 3rd ed. Naerum, Denmark: Brüel & Kjaer, 1987.

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Ellis, Warren. Global frequency. New York, NY: Vertigo, 2013.

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Tolimieri, Richard. Time-frequency representations. Boston: Birkhauser Boston, 1997.

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Частини книг з теми "Frequency"

Gooch, Jan W. "Frequency." In Encyclopedic Dictionary of Polymers, 982. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15246.

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Bouter, L. M., G. A. Zielhuis, and M. P. A. Zeegers. "Frequency." In Textbook of Epidemiology, 15–34. Houten: Bohn Stafleu van Loghum, 2018. http://dx.doi.org/10.1007/978-90-368-1741-7_2.

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Weik, Martin H. "frequency." In Computer Science and Communications Dictionary, 642. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_7594.

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McGillivray, Barbara, and Gábor Mihály Tóth. "Frequency." In Applying Language Technology in Humanities Research, 35–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46493-6_3.

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Zhou, Tianshou. "Frequency." In Encyclopedia of Systems Biology, 759–60. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_522.

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Spieler, Christof. "Frequency." In Trains, Buses, People, 26–27. Washington, DC: Island Press/Center for Resource Economics, 2018. http://dx.doi.org/10.5822/978-1-61091-904-3_11.

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Gooch, Jan W. "Frequency." In Encyclopedic Dictionary of Polymers, 326–27. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_5305.

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Overton, Bill. "Frequency." In The Eighteenth-Century British Verse Epistle, 32–65. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230593466_2.

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Čermák, František, Michal Křen, Lucie Chlumská, Dominika Kováříková, and Renata Novotná. "Frequency." In A Frequency Dictionary of Czech, 9–190. London: Routledge, 2010. http://dx.doi.org/10.4324/9780203805978-2.

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Price, M. A. "Frequency Frequency-Rate Spectral Analysis." In Progress in Underwater Acoustics, 735–42. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_87.

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Тези доповідей конференцій з теми "Frequency"

Jesus, S. M. "Time-Reversal and Spatial Diversity: Issues in a Time-Varying Geometry Test." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843049.

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Chandler, H. "Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843036.

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Stojanovic, Milica. "Spatio-Temporal Focusing for Elimination of Multipath Effects in High Rate Acoustic Communications." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1842998.

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Green, Dale. "Synthetic Undersea Acoustic Transmission Channels." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1842999.

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Rouseff, Daniel. "Acoustic Communication Using Time-Reversal Signal Processing: Spatial and Frequency Diversity." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843000.

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Yang, T. C. "Environmental Effects On Phase Coherent Underwater Acoustic Communications: A Perspective From Several Experimental Measurements." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843001.

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Gendron, Paul J. "Environmental and Motion Effects on Orthogonal Frequency Division Multiplexed On-Off Keying." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843002.

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Yang, Wen-Bin. "High-Frequency FH-FSK Underwater Acoustic Communications: The Environmental Effect and Signal Processing." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843003.

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Hayward, Thomas J. "Underwater Acoustic Communication Channel Capacity: A Simulation Study." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843004.

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Jackson, Darrell R. "Progress and Research Issues in High-Frequency Seafloor Scattering." In HIGH FREQUENCY OCEAN ACOUSTICS: High Frequency Ocean Acoustics Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1843005.

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Звіти організацій з теми "Frequency"

Luhrs, Michael. Frequency Fitness. Ames (Iowa): Iowa State University, January 2021. http://dx.doi.org/10.31274/cc-20240624-763.

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Foltz, Andrew, and William Trammell. Frequency Management Standard Operating Procedure for Frequency Deconfliction. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada413483.

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Owyang, Michael T., and Ana B. Galvão. Forecasting Low Frequency Macroeconomic Events with High Frequency Data. Federal Reserve Bank of St. Louis, 2020. http://dx.doi.org/10.20955/wp.2020.028.

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Sarabandi, Kamal. Compact Reconfigurable High-Frequency Ultrahigh Frequency (HG-UHF) Antenna. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada424574.

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Breton, Daniel, Caitlin Haedrich, Matthew Kamrath, and D. Wilson. Street‐scale mapping of urban radio frequency noise at very high frequency and ultra high frequency. Engineer Research and Development Center (U.S.), August 2020. http://dx.doi.org/10.21079/11681/37824.

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Lombardi, Michael A. Remote frequency calibrations :. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.sp.250-29e2004.

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Top, P. L. Frequency Responsive Load. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1343857.

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Brandyberry, M. D. Helicopter Crash Frequency. Office of Scientific and Technical Information (OSTI), March 1990. http://dx.doi.org/10.2172/656442.

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Gaul, Roy D. Low Frequency Acoustics. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada631281.

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Müller, Ulrich, and Mark Watson. Low-Frequency Econometrics. Cambridge, MA: National Bureau of Economic Research, September 2015. http://dx.doi.org/10.3386/w21564.

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