Relevant bibliographies by topics / Large Signal / Journal articles
To see the other types of publications on this topic, follow the link: Large Signal.

Journal articles on the topic 'Large Signal'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Large Signal.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Verspecht, J. "Large-signal network analysis." IEEE Microwave Magazine 6, no. 4 (December 2005): 82–92. http://dx.doi.org/10.1109/mmw.2005.1580340.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Bao Sheng. "Fault Signal Detection Model for Large-Scale Circuit Communication System." Applied Mechanics and Materials 651-653 (September 2014): 432–35. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.432.

Full text
Abstract:
In the process of fault signal detection for large-scale circuit communication systems, with traditional methods to process detection, the fault detection method is more conservative. A fault signal detection for large-scale circuit communication system based on QRS wave group detection method is proposed. The signal to be measured is transformed appropriately in the time domain or frequency domain to strengthen or separate the QRS component, in order to suppress interference from various noise to signals, and the fault point of circuit communication system fault signal is identified, the filter is utilized as representative to process multiscale decomposition for fault signals of circuit communication systems. Experiments show that QRS wave group detection method can determine the occurrence time of the circuit system fault signal, and further estimate the nature of the fault signal, thus, the fault point of communication system fault signal is found to improve the efficiency of detection.
APA, Harvard, Vancouver, ISO, and other styles
3

Bandler, J. W., R. M. Biernacki, S. H. Chen, J. Song, S. Ye, and Q. J. Zhang. "Analytically unified DC/small-signal/large-signal circuit design." IEEE Transactions on Microwave Theory and Techniques 39, no. 7 (July 1991): 1076–82. http://dx.doi.org/10.1109/22.85372.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Liu, Yunjiang, Fuzhong Wang, Lu Liu, and Yamin Zhu. "Secondary signal-induced large-parameter stochastic resonance for feature extraction of mechanical faults." International Journal of Modern Physics B 33, no. 15 (June 20, 2019): 1950157. http://dx.doi.org/10.1142/s0217979219501571.

Full text
Abstract:
Aiming to solve the problem that it is difficult to extract large parameter signals from a strong noise background, a novel method of large parameter stochastic resonance (SR) induced by a secondary signal is proposed. The SR mechanism of high-frequency signals is expounded by analyzing the density distribution curve. High-frequency signals are converted to low-frequency signals using the scale transformation method, and then large-parameter SR is induced by the secondary signal. Ultimately, the method is applied to the feature extraction of mechanical faults. Simulation and experimental results indicate that (i) the effect of SR induced by the secondary signal is significantly enhanced when the frequency of the secondary signal is twice that of the signals to be detected after the scale transformation; (ii) when the frequency of secondary signal is twice the maximum frequency of the signals to be detected after the scale transformation, choosing an appropriate amplitude of secondary signal can alleviate the problem that the noise energy is excessively concentrated in the low-frequency channel with regard to the extraction of two-frequency or three-frequency high-frequency signals; and (iii) by adding the secondary signal to the engineering example, the fault power spectrum value of system output is 101% higher than that without the secondary signal.
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Xiao, Xiao-Hong Zhu, Yi Zhang, and Wei Chen. "Large Enhancement of Perfusion Contribution on fMRI Signal." Journal of Cerebral Blood Flow & Metabolism 32, no. 5 (March 7, 2012): 907–18. http://dx.doi.org/10.1038/jcbfm.2012.26.

Full text
Abstract:
The perfusion contribution to the total functional magnetic resonance imaging (fMRI) signal was investigated using a rat model with mild hypercapnia at 9.4 T, and human subjects with visual stimulation at 4 T. It was found that the total fMRI signal change could be approximated as a linear superposition of ‘true’ blood oxygenation level-dependent (BOLD; T2/T2*) effect and the blood flow-related ( T1) effect. The latter effect was significantly enhanced by using short repetition time and large radiofrequency pulse flip angle and became comparable to the ‘true’ BOLD signal in response to a mild hypercapnia in the rat brain, resulting in an improved contrast-to-noise ratio (CNR). Bipolar diffusion gradients suppressed the intravascular signals but had no significant effect on the flow-related signal. Similar results of enhanced fMRI signal were observed in the human study. The overall results suggest that the observed flow-related signal enhancement is likely originated from perfusion, and this enhancement can improve CNR and the spatial specificity for mapping brain activity and physiology changes. The nature of mixed BOLD and perfusion-related contributions in the total fMRI signal also has implication on BOLD quantification, in particular, the BOLD calibration model commonly used to estimate the change of cerebral metabolic rate of oxygen.
APA, Harvard, Vancouver, ISO, and other styles
6

Shu, Na. "Accurate Detection of Fault Signal in Large-Scale Communication." Advanced Materials Research 989-994 (July 2014): 3802–5. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.3802.

Full text
Abstract:
Deep data-mining methods of fault signal in large-scale communication system are researched. Although with the characteristic of frequency uniformity as signals distribute in each reaction zone, common method of fault signal detection based on shortwave dispersing is invalid employing in large-scale communication system, which presents the absence or instability of fault signal. For this reason, a method based on particle swarm optimization is proposed for fault signal detection in large-scale communication system. As reaction speed and activity scope within the whole particle swarm are replaced, accurate results are achieved. Taking particle swarm optimization, it is detected that whether there is a fault in communication systems. The experimental results show that proposed method in signal fault detection process can greatly increase accuracy of signal fault detection, as plays a greater role in future.
APA, Harvard, Vancouver, ISO, and other styles
7

Henkels, W. H., and W. Hwang. "Large-signal 2T, 1C DRAM cell: signal and layout analysis." IEEE Journal of Solid-State Circuits 29, no. 7 (July 1994): 829–32. http://dx.doi.org/10.1109/4.303721.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Srivastava, Vishnu. "2.5-Dimensional Multi-Signal Large-Signal Analysis of Helix TWTs." IETE Journal of Research 49, no. 4 (July 2003): 239–46. http://dx.doi.org/10.1080/03772063.2003.11416342.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

KRIVOY, G. S., and V. A. KOMASHKO. "rf PUMPED SQUID WITH LARGE OUTPUT SIGNAL." Modern Physics Letters B 05, no. 05 (February 28, 1991): 365–73. http://dx.doi.org/10.1142/s0217984991000435.

Full text
Abstract:
The dc SQUID had been presented for use in the rf SQUID instead of a weak link. The new device, referred to as “double SQUID”, possesses a large output signal (hundreds of microvolts) in operating in a hysteretic mode. For making an operating mode a double SQUID is coupled to a circuit traditional for rf SQUIDs containing a tank circuit and an rf current pumping generator. The magnetic flux being measured is recognized by the dc SQUID quantization loop which results in changing its critical current. As a result the height of the flat part of the tank circuit I–V characteristics coupled to a double SQUID is modulated. It is this modulation that is the SQUID output signal. The experimental investigations of the double SQUID showed the validity of the assumptions under consideration. Output signals up to 690 μV, noise spectral density ≈2×10−5ϕ0/ Hz 1/2 (ϕ0 is the flux quantum) and energy resolution ≈1.4×10−29 J/Hz have been obtained.
APA, Harvard, Vancouver, ISO, and other styles
10

Ouyang, Yi, Richard Y. Zhang, Javad Lavaei, and Pravin Varaiya. "Large-Scale Traffic Signal Offset Optimization." IEEE Transactions on Control of Network Systems 7, no. 3 (September 2020): 1176–87. http://dx.doi.org/10.1109/tcns.2020.2966588.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Winslow, Thomas A., and Robert J. Trew. "Principles of Large-Signal MESFET Operation." IEEE Transactions on Microwave Theory and Techniques 42, no. 6 (June 1994): 935–42. http://dx.doi.org/10.1109/22.293561.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Zhang, Q. M., Huntao Hu, J. Sitch, R. K. Surridge, and J. M. Xu. "A new large signal HBT model." IEEE Transactions on Microwave Theory and Techniques 44, no. 11 (1996): 2001–9. http://dx.doi.org/10.1109/22.543955.

Full text
APA, Harvard, Vancouver, ISO, and other styles
13

Balijepalli, A., R. Vijayaraghavan, J. Ervin, J. Yang, S. K. Islam, and T. J. Thornton. "Large-signal modeling of SOI MESFETs." Solid-State Electronics 50, no. 6 (June 2006): 943–50. http://dx.doi.org/10.1016/j.sse.2006.05.012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Wehrsdorfer, E., G. Borchhardt, W. Karthe, and G. Helke. "Large signal measurements on piezoelectric stacks." Ferroelectrics 174, no. 1 (December 1995): 259–75. http://dx.doi.org/10.1080/00150199508215024.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Whight, K. R., P. A. Gough, and P. Walker. "Large signal periodic time-domain simulation." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 5, no. 1 (February 1992): 11–21. http://dx.doi.org/10.1002/jnm.1660050104.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Verspecht, J., D. F. Williams, D. Schreurs, K. A. Remley, and M. D. McKinley. "Linearization of large-signal scattering functions." IEEE Transactions on Microwave Theory and Techniques 53, no. 4 (April 2005): 1369–76. http://dx.doi.org/10.1109/tmtt.2005.845771.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Habibpour, Omid, Josip Vukusic, and Jan Stake. "A Large-Signal Graphene FET Model." IEEE Transactions on Electron Devices 59, no. 4 (April 2012): 968–75. http://dx.doi.org/10.1109/ted.2012.2182675.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Kramer, B. A., and R. J. Weber. "Improved large-signal quasistatic MESFET model." Electronics Letters 27, no. 11 (May 23, 1991): 906–8. http://dx.doi.org/10.1049/el:19910568.

Full text
APA, Harvard, Vancouver, ISO, and other styles
19

Donoho, D. L., and B. F. Logan. "Signal Recovery and the Large Sieve." SIAM Journal on Applied Mathematics 52, no. 2 (April 1992): 577–91. http://dx.doi.org/10.1137/0152031.

Full text
APA, Harvard, Vancouver, ISO, and other styles
20

Todor, Andrei, Haitham Gabr, Alin Dobra, and Tamer Kahveci. "Large scale analysis of signal reachability." Bioinformatics 30, no. 12 (June 11, 2014): i96—i104. http://dx.doi.org/10.1093/bioinformatics/btu262.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Opris, I. E., and G. T. A. Kovacs. "Large-signal subthreshold CMOS transconductance amplifier." Electronics Letters 31, no. 9 (1995): 718. http://dx.doi.org/10.1049/el:19950504.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Moazzeni, Taleb, Henry Selvaraj, and Yingtao Jiang. "A Novel Multi-Exponential Function-based Companding Technique for Uniform Signal Compression over Channels with Limited Dynamic Range." International Journal of Electronics and Telecommunications 56, no. 2 (June 1, 2010): 125–28. http://dx.doi.org/10.2478/v10177-010-0016-1.

Full text
Abstract:
A Novel Multi-Exponential Function-based Companding Technique for Uniform Signal Compression over Channels with Limited Dynamic Range Companding, as a variant of audio level compression, can help reduce the dynamic range of an audio signal. In analog (digital) systems, this can increase the signal-to-noise ratio (signal to quantization noise ratio) achieved during transmission. The μ-law algorithm that is primarily used in the digital telecommunication systems of North America and Japan, adapts a companding scheme that can expand small signals and compress large signals especially at the presence of high peak signals. In this paper, we present a novel multi-exponential companding function that can achieve more uniform compression on both large and small signals so that the relative signal strength over the time is preserved. That is, although larger signals may get considerably compressed, unlike μ-law algorithm, it is guaranteed that these signals after companding will definitely not be smaller than expanded signals that were originally small. Performance of the proposed algorithm is compared with μ-law using real audio signal, and results show that the proposed companding algorithm can achieve much smaller quantization errors with a modest increase in computation time.
APA, Harvard, Vancouver, ISO, and other styles
23

Jansen, Ph, D. Schreurs, W. De Raedt, B. Nauwelaers, and M. Van Rossum. "Consistent small-signal and large-signal extraction techniques for heterojunction FET's." IEEE Transactions on Microwave Theory and Techniques 43, no. 1 (1995): 87–93. http://dx.doi.org/10.1109/22.363003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
24

Tang, C. W., and K. Y. Tong. "A compact large signal model of LDMOS." Solid-State Electronics 46, no. 12 (December 2002): 2111–15. http://dx.doi.org/10.1016/s0038-1101(02)00238-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Auld, Douglas S., David Diller, and Koc-Kan Ho. "Targeting signal transduction with large combinatorial collections." Drug Discovery Today 7, no. 24 (December 2002): 1206–13. http://dx.doi.org/10.1016/s1359-6446(02)02530-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
26

Robinson, Harold C., and Mark B. Moffett. "Large signal dielectric losses in sonar transducers." Journal of the Acoustical Society of America 106, no. 4 (October 1999): 2121–22. http://dx.doi.org/10.1121/1.427982.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Shirakawa, K., M. Shimizu, Y. Kawasaki, Y. Ohashi, and N. Okubo. "A new empirical large-signal HEMT model." IEEE Transactions on Microwave Theory and Techniques 44, no. 4 (April 1996): 622–24. http://dx.doi.org/10.1109/22.491030.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Garverick, S. L., and C. G. Sodini. "Large-signal linearity of scaled MOS transistors." IEEE Journal of Solid-State Circuits 22, no. 2 (April 1987): 282–86. http://dx.doi.org/10.1109/jssc.1987.1052714.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Mukhopadhyay, Subhadeep. "Large-scale signal detection: A unified perspective." Biometrics 72, no. 2 (October 4, 2015): 325–34. http://dx.doi.org/10.1111/biom.12423.

Full text
APA, Harvard, Vancouver, ISO, and other styles
30

Tarakji, A., H. Fatima, X. Hu, J. P. Zhang, G. Simin, M. A. Khan, M. S. Shur, and R. Gaska. "Large-signal linearity in III-N MOSDHFETs." IEEE Electron Device Letters 24, no. 6 (June 2003): 369–71. http://dx.doi.org/10.1109/led.2003.813355.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Whight, K. R. "Large signal periodic time-domain circuit simulation." IEE Proceedings - Circuits, Devices and Systems 141, no. 4 (1994): 285. http://dx.doi.org/10.1049/ip-cds:19941244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
32

Van Moer, W., and Y. Rolain. "Multisine Calibration for Large-Signal Broadband Measurements." IEEE Transactions on Instrumentation and Measurement 57, no. 7 (July 2008): 1478–83. http://dx.doi.org/10.1109/tim.2008.917187.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Pailloncy, Guillaume, Gustavo Avolio, Maciej Myslinski, Yves Rolain, Marc Bossche, and Dominique Schreurs. "Large-Signal Network Analysis Including the Baseband." IEEE Microwave Magazine 12, no. 2 (April 2011): 77–86. http://dx.doi.org/10.1109/mmm.2010.940104.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Bin Li, S. Prasad, Li-Wu Yang, and S. C. Wang. "Large-signal characterization of AlGaAs/GaAs HBT's." IEEE Transactions on Microwave Theory and Techniques 47, no. 9 (1999): 1743–46. http://dx.doi.org/10.1109/22.788597.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Rudolph, M., R. Doerner, K. Beilenhoff, and P. Heymann. "Scalable GaInP/GaAs HBT large-signal model." IEEE Transactions on Microwave Theory and Techniques 48, no. 12 (2000): 2370–76. http://dx.doi.org/10.1109/22.898986.

Full text
APA, Harvard, Vancouver, ISO, and other styles
36

Williams, Dylan F., Kate A. Remley, Joseph M. Gering, Gregory S. Lyons, Corey Lineberry, and Grant S. Aivazian. "Comparison of Large-Signal-Network-Analyzer Calibrations." IEEE Microwave and Wireless Components Letters 20, no. 2 (February 2010): 118–20. http://dx.doi.org/10.1109/lmwc.2009.2038618.

Full text
APA, Harvard, Vancouver, ISO, and other styles
37

Yagoub, M. C. E., and H. Baudrand. "Large-signal oscillator design for maximum performance." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 42, no. 4 (July 1995): 571–75. http://dx.doi.org/10.1109/58.393100.

Full text
APA, Harvard, Vancouver, ISO, and other styles
38

Shirao, Mizuki, SeungHun Lee, Nobuhiko Nishiyama, and Shigehisa Arai. "Large-Signal Analysis of a Transistor Laser." IEEE Journal of Quantum Electronics 47, no. 3 (March 2011): 359–67. http://dx.doi.org/10.1109/jqe.2010.2090341.

Full text
APA, Harvard, Vancouver, ISO, and other styles
39

Arthaber, H., M. L. Mayer, A. Gafni, M. Gadringer, and G. Magerl. "A time-domain large-signal measurement setup." International Journal of RF and Microwave Computer-Aided Engineering 15, no. 1 (2004): 3–12. http://dx.doi.org/10.1002/mmce.20041.

Full text
APA, Harvard, Vancouver, ISO, and other styles
40

Teyssier, Jean-Pierre, Denis Barataud, Christophe Charbonniaud, Fabien De Groote, Markus Mayer, Jean-Michel Nébus, and Raymond Quéré. "Large-signal characterization of microwave power devices." International Journal of RF and Microwave Computer-Aided Engineering 15, no. 5 (2005): 479–90. http://dx.doi.org/10.1002/mmce.20113.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Han, Bo, Tianshu Zhou, Xiangming Xu, Pingliang Li, and Jianjun Gao. "Scalable large-signal model for SiGe HBTs." International Journal of RF and Microwave Computer-Aided Engineering 22, no. 2 (December 30, 2011): 175–83. http://dx.doi.org/10.1002/mmce.20567.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Thakur, Pankaj Kuma, and Santanu Mahapatra. "Large-Signal Model for Independent DG MOSFET." IEEE Transactions on Electron Devices 58, no. 1 (January 2011): 46–52. http://dx.doi.org/10.1109/ted.2010.2085083.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

TAHER ABUELMA'ATTI, MUHAMMAD. "Large Signal Performance of the Electroabsorption Modulator." Fiber and Integrated Optics 23, no. 6 (January 2004): 467–78. http://dx.doi.org/10.1080/01468030490510315.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Abuelma'atti, Muhammad Taher. "Large Signal Performance of the Electroabsorption Modulator." Journal of Optical Communications 25, no. 5 (January 2004): 182–87. http://dx.doi.org/10.1515/joc.2004.25.5.182.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Conn, D. R., and P. M. Smith. "Large signal mwspice model of DMOS transistor." Electronics Letters 25, no. 1 (January 5, 1989): 8–9. http://dx.doi.org/10.1049/el:19890006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
46

Teeter, D. A., J. R. East, R. K. Mains, and G. I. Haddad. "Large-signal numerical and analytical HBT models." IEEE Transactions on Electron Devices 40, no. 5 (May 1993): 837–45. http://dx.doi.org/10.1109/16.210188.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Freeman, S. "Testing large analog/digital signal processing chips." IEEE Transactions on Consumer Electronics 36, no. 4 (1990): 813–18. http://dx.doi.org/10.1109/30.61560.

Full text
APA, Harvard, Vancouver, ISO, and other styles
48

ANGELOV, I., A. INOUE, and S. WATANABE. "Large Signal Evaluation of Nonlinear HBT Model." IEICE Transactions on Electronics E91-C, no. 7 (July 1, 2008): 1091–97. http://dx.doi.org/10.1093/ietele/e91-c.7.1091.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Grosman, J., D. Wulich, and J. Mahlab. "Large signal analysis of a sampled PLL." Electronics Letters 22, no. 3 (1986): 156. http://dx.doi.org/10.1049/el:19860109.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Addair, T. G., D. A. Dodge, W. R. Walter, and S. D. Ruppert. "Large-scale seismic signal analysis with Hadoop." Computers & Geosciences 66 (May 2014): 145–54. http://dx.doi.org/10.1016/j.cageo.2014.01.014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Large Signal' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography