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Articoli di riviste sul tema "Multi-rate"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 9 giugno 2025

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1

Meenal, Meenal, and Kiran Ahuja. "Performance Analysis of Multi Traffic over Multi Rate EDCA of WLAN Network." International Journal of Future Generation Communication and Networking 6, no. 6 (December 31, 2013): 99–108. http://dx.doi.org/10.14257/ijfgcn.2013.6.6.11.

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2

Hu, Jinquan, Qing Guo, and Shangsong Chen. "Rate-separation-based multi-rate multi-user detection method." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 24, no. 11 (December 15, 2010): 1038–42. http://dx.doi.org/10.3724/sp.j.1187.2010.01038.

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3

Kovarik, K. D., and P. Maveddat. "Multi-rate ISDN." IEEE Communications Magazine 32, no. 4 (April 1994): 48–54. http://dx.doi.org/10.1109/35.275335.

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4

Nelson, James D. B. "A Multi-Channel Multi-Sampling Rate Theorem." Sampling Theory in Signal and Image Processing 2, no. 1 (January 2003): 83–96. http://dx.doi.org/10.1007/bf03549386.

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5

Lovrich, A., and J. Reimer. "A multi-rate transcoder." IEEE Transactions on Consumer Electronics 35, no. 4 (1989): 715–22. http://dx.doi.org/10.1109/30.106888.

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6

Govindarajan, R., and Guang R. Gao. "Rate-optimal schedule for multi-rate DSP computations." Journal of VLSI signal processing systems for signal, image and video technology 9, no. 3 (April 1995): 211–32. http://dx.doi.org/10.1007/bf02407086.

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7

Xu, Tao, Zijian Tang, Geert Leus, and Urbashi Mitra. "Multi-Rate Block Transmission Over Wideband Multi-Scale Multi-Lag Channels." IEEE Transactions on Signal Processing 61, no. 4 (February 2013): 964–79. http://dx.doi.org/10.1109/tsp.2012.2230169.

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8

Kong, Linghe, Yifeng Cao, Liang He, Guihai Chen, Min-You Wu, and Tian He. "Multi-Rate Selection in ZigBee." IEEE/ACM Transactions on Networking 27, no. 3 (June 2019): 1055–68. http://dx.doi.org/10.1109/tnet.2019.2913014.

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9

Delport, Wayne, Konrad Scheffler, Mike B. Gravenor, Spencer V. Muse, and Sergei Kosakovsky Pond. "Benchmarking Multi-Rate Codon Models." PLoS ONE 5, no. 7 (July 21, 2010): e11587. http://dx.doi.org/10.1371/journal.pone.0011587.

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10

Liang, Yan, Tongwen Chen, and Quan Pan. "Multi-rate optimal state estimation." International Journal of Control 82, no. 11 (September 14, 2009): 2059–76. http://dx.doi.org/10.1080/00207170902906132.

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11

Vatsya, S. R., and H. O. Pritchard. "Multi-exponential unimolecular rate formulae." Theoretica Chimica Acta 77, no. 2 (1990): 63–84. http://dx.doi.org/10.1007/bf01114534.

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12

Kim, Tae-Suk, Gentian Jakllari, Srikanth V. Krishnamurthy, and Michalis Faloutsos. "An integrated routing and rate adaptation framework for multi-rate multi-hop wireless networks." Wireless Networks 19, no. 5 (November 13, 2012): 985–1003. http://dx.doi.org/10.1007/s11276-012-0513-5.

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13

Cerutti, I., A. Fumagalli, M. Tacca, A. Lardies, and R. Jagannathan. "The multi-hop multi-rate wavelength division multiplexing ring." Journal of Lightwave Technology 18, no. 12 (2000): 1649–56. http://dx.doi.org/10.1109/50.908678.

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14

Park, I. O., and J. H. Oh. "Multi-Rate Generalized Predictive Control for Multi-Variable Systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 207, no. 4 (November 1993): 253–60. http://dx.doi.org/10.1243/pime_proc_1993_207_347_02.

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Abstract (sommario):

The purpose of this paper is to drive the adaptive multi-rate generalized predictive control for multi-variable systems in a stochastic framework. Modelling disturbances as white noise is inadequate for process control because most disturbances encountered in process control are coloured or non-stationary in nature. For that reason a stochastic parallel model identification algorithm for a multi-rate-sampled system is proposed. No attempt is made to identify the noise model. Hence the algorithm is applicable to any measurement noise case. The measurement noise can be arbitrary (for example coloured or non-stationary noise), except for the assumption that it and control inputs are stochastically uncorrelated. Then the control algorithm based on the generalized predictive control is proposed. In order to demonstrate the effectiveness of the proposed control algorithm a simulation study is carried out. The closed-loop performances are excellent.

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15

Ma, Jing, Hao Jin, Tian Tian, and Wei Zhang. "Information Fusion Filter for Multi-rate Multi-sensor Systems." International Journal of Multimedia and Ubiquitous Engineering 10, no. 1 (January 31, 2015): 149–58. http://dx.doi.org/10.14257/ijmue.2015.10.1.14.

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16

Mahmoud, Magdi S., and Muhammad F. Emzir. "State estimation with asynchronous multi-rate multi-smart sensors." Information Sciences 196 (August 2012): 15–27. http://dx.doi.org/10.1016/j.ins.2012.01.034.

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17

Austin, Publishing Group. "Follicle Aspirating is an Effective Remedy When Multi-follicles Developed in Donor-sperm Timing-Artificial Insemination." Austin Journal of Invitro Fertilization 7, no. 1 (April 12, 2023): 1042. https://doi.org/10.26420/AustinJInVitroFertili.2023.1042.

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Abstract (sommario):

Abstract <strong>Purpose:</strong> To avoid multi-pregnancy, the cycle usually has to be cancelled when Multi-Follicles Developed (MFD) in artificial insemination. For the strong willing to continue the cycle for most patients, we explored the effectiveness of excess follicles aspirating as another remedy when multiple follicle developed. <strong>Methods:</strong> We conducted a retrospective study in patients taking Artificial Insemination with Donor sperm (AID) and ovarian stimulation protocol from 2011 to 2022. Patients were divided in 4 groups according to the differences of receiving aspirating and follicle number. Clinical pregnancy rate, multi-pregnancy rate (twin pregnancy and high order pregnancy, separately) were mainly compared in our study. <strong>Results:</strong> When multi-follicles developed, patients taking excess follicle aspirating achieved a comparable clinical pregnancy rate with those without aspirating (30.7% vs 26.1%). These two groups had a similar multi-pregnancy rate, 21.7% and 17.4% respectively, while high order pregnancy was rather lower in excess follicles aspirating group. MFD patients carried a significant higher clinical pregnancy rate, multi-pregnancy rate than patients with two dominate follicles patients under the age of 35. In ovarian stimulation protocol, patients with two dominate follicles carried nearly the same clinical pregnancy rate with one dominate follicle patients (21.4 vs 21.5%). Gemellary pregnancy rate was significant lower in one than two dominate follicles group (7.5% vs 0.4%) when patient’s age was under 35. In the age of 35 or older, the clinical pregnancy rate and multi-pregnancy rate were similar in patients with multi-follicles and two dominate follicles. <strong>Conclusion:</strong> In AID, in the age of lower than 35, when multi-follicles developed, excess follicle aspirating with two dominate follicles reserved effectively deceased high order pregnancy and ensured the clinical pregnancy rate at the same time. From the perspective of singleton, it was feasible to keep one dominate follicle reserved. <strong>Keywords:</strong> AID; Multi-follicle development; Multi-pregnancy rate; Follicle aspirating

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18

Farzinvash, Leili, and Mehdi Dehghan. "Multi-rate multicast routing in multi-gateway multi-channel multi-radio wireless mesh networks." Journal of Network and Computer Applications 40 (April 2014): 46–60. http://dx.doi.org/10.1016/j.jnca.2013.08.009.

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19

Chiu, Singa Wang, Yi-Yu Kuo, Chao-Chih Huang, and Yuan-Shyi Peter Chiu. "Random Scrap Rate Effect on Multi-Item Finite Production Rate Model with Multi-Shipment Policy." Research Journal of Applied Sciences, Engineering and Technology 5, no. 22 (May 25, 2013): 5164–69. http://dx.doi.org/10.19026/rjaset.5.4260.

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20

He, Meilin, Guanghui Song, and Jun Cheng. "Optimal rate profile for multi-user multi-rate transmission systems by bivariate fixed-point analysis." IET Communications 11, no. 5 (March 30, 2017): 628–38. http://dx.doi.org/10.1049/iet-com.2016.0694.

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21

Gálvez, Juan J., and Pedro M. Ruiz. "Joint link rate allocation, routing and channel assignment in multi-rate multi-channel wireless networks." Ad Hoc Networks 29 (June 2015): 78–98. http://dx.doi.org/10.1016/j.adhoc.2015.02.002.

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22

Hamad, Radwa K., Ehab F. Badran, Amira I. Zaki, and Said E. El-Khamy. "Comparison of Combined Multi-rate Barker Codes and Multi-rate Barker Codes For WOFDM Systems." International Journal of Electronics and Communication Engineering 1, no. 10 (October 25, 2014): 7–14. http://dx.doi.org/10.14445/23488549/ijece-v1i10p103.

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23

Elaydi, Hatem, and Mohammed Elamassie. "Multi-rate Ripple-Free Deadbeat Control for Nonlinear Systems Using Diophantine Equations." International Journal of Engineering and Technology 4, no. 4 (2012): 489–94. http://dx.doi.org/10.7763/ijet.2012.v4.417.

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24

Li, Bing, Duo-jin Chen, Jun Xiong, and Mei-qiang Shi. "Implementation of a multi-rate and multi-size LDPC decoder." IEICE Electronics Express 6, no. 21 (2009): 1509–15. http://dx.doi.org/10.1587/elex.6.1509.

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25

Sae-Tang, Wannida, Panumas Tipkumarn, and Wuttipong Kumwilaisak. "Multi-rate multi-cast using network coding in lossy networks." IEICE Electronics Express 8, no. 5 (2011): 273–78. http://dx.doi.org/10.1587/elex.8.273.

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26

SCATTOLINI, R. "Multi-rate self-tuning predictive controller for multi-variable systems." International Journal of Systems Science 23, no. 8 (August 1992): 1347–59. http://dx.doi.org/10.1080/00207729208949388.

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27

Liang, Yan, Tongwen Chen, and Quan Pan. "Multi-rate stochastic H∞ filtering for networked multi-sensor fusion." Automatica 46, no. 2 (February 2010): 437–44. http://dx.doi.org/10.1016/j.automatica.2009.11.019.

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28

Smida, Besma, and Sofiène Affes. "Analysis of multi-user detection of multi-rate transmissions in multi-cellular CDMA." Wireless Communications and Mobile Computing 9, no. 1 (January 2009): 1–20. http://dx.doi.org/10.1002/wcm.671.

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29

LU, WEIPING, and D. GRANT FISHER. "Output estimation with multi-rate sampling." International Journal of Control 48, no. 1 (July 1988): 149–60. http://dx.doi.org/10.1080/00207178808906166.

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30

Bertrand, John, and Matthew J. Noah. "Multi-rate digital voice coder apparatus." Journal of the Acoustical Society of America 89, no. 6 (June 1991): 3025. http://dx.doi.org/10.1121/1.400771.

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31

Tanasa, Valentin, Salvatore Monaco, and Dorothee Normand-Cyrot. "Backstepping Control Under Multi-Rate Sampling." IEEE Transactions on Automatic Control 61, no. 5 (May 2016): 1208–22. http://dx.doi.org/10.1109/tac.2015.2453891.

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32

Gopaluni, R. Bhushan, Harigopal Raghavan, and Sirish L. Shah. "System Identification from Multi-Rate Data." IFAC Proceedings Volumes 37, no. 1 (January 2004): 155–60. http://dx.doi.org/10.1016/s1474-6670(17)38724-4.

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33

Rossiter, J. A., Sirish L. Shah, and Tongwen Chen. "Developments in Multi-Rate Predictive Control." IFAC Proceedings Volumes 37, no. 1 (January 2004): 403–8. http://dx.doi.org/10.1016/s1474-6670(17)38765-7.

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34

Jahromi, Omid S., Bruce A. Francis, and Raymond H. Kwong. "Relative information of multi-rate sensors." Information Fusion 5, no. 2 (June 2004): 119–29. http://dx.doi.org/10.1016/j.inffus.2004.01.003.

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35

Dusheng, Wang, Zhang Jiankang, and Fan Changxin. "A single processor multi-rate vocoder." Journal of Electronics (China) 14, no. 1 (January 1997): 59–62. http://dx.doi.org/10.1007/s11767-996-1024-2.

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36

Sun, Xinghua, and Lin Dai. "Fairness-Constrained Maximum Sum Rate of Multi-Rate CSMA Networks." IEEE Transactions on Wireless Communications 16, no. 3 (March 2017): 1741–54. http://dx.doi.org/10.1109/twc.2017.2653113.

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37

Diwan, Aniruddha, and Joy Kuri. "Routing and rate allocation in rate-based multi-class networks." Performance Evaluation 59, no. 4 (March 2005): 337–66. http://dx.doi.org/10.1016/j.peva.2004.08.005.

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38

YAMASHITA, F. "Seamless Symbol Rate Switching Scheme for Multi-Rate FDMA Modem." IEICE Transactions on Communications E89-B, no. 2 (February 1, 2006): 545–55. http://dx.doi.org/10.1093/ietcom/e89-b.2.545.

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39

Ao, Xin, Shengming Jiang, and Huaqiang Yuan. "Traffic-Aware Link Rate Adaptation for Multi-rate 802.11 Networks." Wireless Personal Communications 72, no. 4 (March 24, 2013): 2155–75. http://dx.doi.org/10.1007/s11277-013-1141-9.

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40

ZHANG, Yong, Mei SONG, Chao DAI, and Jie CAI. "Research on node throughput in multi-radio multi-channel multi-rate wireless mesh network." Journal of China Universities of Posts and Telecommunications 16 (September 2009): 92–96. http://dx.doi.org/10.1016/s1005-8885(08)60349-0.

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41

S, Kokila. "Competent Wireless Multimedia Multicast in Multi-Rate Multi-Channel Mesh Networks." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 978–82. http://dx.doi.org/10.22214/ijraset.2019.3172.

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42

Bellalta, Boris, Vanesa Daza, and Miquel Oliver. "An Approximate Queueing Model for Multi-Rate Multi-User MIMO Systems." IEEE Communications Letters 15, no. 4 (April 2011): 392–94. http://dx.doi.org/10.1109/lcomm.2011.020311.102434.

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43

Naixue Xiong, Athanasios V. Vasilakos, Laurence T. Yang, Yi Pan, Cheng-Xiang Wang, and Art Vandenberg. "Distributed Explicit Rate Schemes in Multi-Input–Multi-Output Network Systems." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40, no. 4 (July 2010): 448–59. http://dx.doi.org/10.1109/tsmcc.2009.2039872.

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44

Yoo, Junwook. "Relative incentive rate in a multi-period and multi-task agency." Asian J. of Management Science and Applications 3, no. 1 (2017): 1. http://dx.doi.org/10.1504/ajmsa.2017.083496.

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45

Yoo, Junwook. "Relative incentive rate in a multi-period and multi-task agency." Asian J. of Management Science and Applications 3, no. 1 (2017): 1. http://dx.doi.org/10.1504/ajmsa.2017.10004230.

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46

Li, Guchong, Wei Yi, Suqi Li, Bailu Wang, and Lingjiang Kong. "Asynchronous multi-rate multi-sensor fusion based on random finite set." Signal Processing 160 (July 2019): 113–26. http://dx.doi.org/10.1016/j.sigpro.2019.01.028.

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47

Kouloumentas, Christos, Christos Tsokos, Panos Groumas, Lefteris Gounaridis, Adam Raptakis, Elias Mylonas, Efstathios Andrianopoulos, et al. "Multi-Rate and Multi-Channel Optical Equalizer Based on Photonic Integration." IEEE Photonics Technology Letters 32, no. 23 (December 1, 2020): 1465–68. http://dx.doi.org/10.1109/lpt.2020.3035506.

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48

Wang, Jui Teng. "Distributed subchannel and rate assignment for multi-carrier multi-cell networks." Wireless Personal Communications 43, no. 4 (June 1, 2007): 1333–37. http://dx.doi.org/10.1007/s11277-007-9305-0.

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49

SHIEH, LEANG S., GWANGCHYWAN CHEN, and JASON S. H. TSAI. "Hybrid suboptimal control of multi-rate multi-loop sampled-data systems." International Journal of Systems Science 23, no. 6 (June 1992): 839–54. http://dx.doi.org/10.1080/00207729208949253.

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50

Tu, Wanqing. "Efficient Wireless Multimedia Multicast in Multi-Rate Multi-Channel Mesh Networks." IEEE Transactions on Signal and Information Processing over Networks 2, no. 3 (September 2016): 376–90. http://dx.doi.org/10.1109/tsipn.2016.2550806.

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