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Статті в журналах з теми "Frequency coded"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Padovani, R., and J. Wolf. "Coded Phase/Frequency Modulation." IEEE Transactions on Communications 34, no. 5 (May 1986): 446–53. http://dx.doi.org/10.1109/tcom.1986.1096564.

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2

Tsow, Francis, Erica S. Forzani, and N. J. Tao. "Frequency-Coded Chemical Sensors." Analytical Chemistry 80, no. 3 (February 2008): 606–11. http://dx.doi.org/10.1021/ac7016162.

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3

Esli, C., B. Ozgul, and H. Delic. "Space-frequency coded HIPERLAN/2." IEEE Transactions on Consumer Electronics 50, no. 4 (November 2004): 1162–68. http://dx.doi.org/10.1109/tce.2004.1362514.

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4

Bloch, Matthieu, Steven W. McLaughlin, Jean-Marc Merolla, and Frédéric Patois. "Frequency-coded quantum key distribution." Optics Letters 32, no. 3 (January 12, 2007): 301. http://dx.doi.org/10.1364/ol.32.000301.

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5

Yang, R. H. H., and D. P. Taylor. "Trellis-coded continuous-phase frequency-shift keying with ring convolutional codes." IEEE Transactions on Information Theory 40, no. 4 (July 1994): 1057–67. http://dx.doi.org/10.1109/18.335968.

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6

Johnson, Mark. "Optical-actuator frequency-coded pressure sensor." Optics Letters 11, no. 9 (September 1, 1986): 587. http://dx.doi.org/10.1364/ol.11.000587.

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7

Tujkovic, D., M. Juntti, and M. Latva-Aho. "Space-frequency-time turbo coded modulation." IEEE Communications Letters 5, no. 12 (December 2001): 480–82. http://dx.doi.org/10.1109/4234.974492.

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8

Singh, S. P., and K. Subba Rao. "Discrete frequency-coded radar signal design." IET Signal Processing 3, no. 1 (2009): 7. http://dx.doi.org/10.1049/iet-spr:20080047.

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9

Borgmann, M., and H. Bolcskei. "Noncoherent space-frequency coded MIMO-OFDM." IEEE Journal on Selected Areas in Communications 23, no. 9 (September 2005): 1799–810. http://dx.doi.org/10.1109/jsac.2005.853800.

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10

Lewandowski, Marcin, and Andrzej Nowicki. "Digital High Frequency Coded Imaging System." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3337. http://dx.doi.org/10.1121/1.2933869.

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11

Gokceli, Selahattin, and Gunes Karabulut Kurt. "Superposition Coded-Orthogonal Frequency Division Multiplexing." IEEE Access 6 (2018): 14842–56. http://dx.doi.org/10.1109/access.2018.2814050.

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12

Rong, Junjie, Wenjing Ye, Shengyuan Zhang, and Yijun Liu. "Frequency‐Coded Passive Multifunctional Elastic Metasurfaces." Advanced Functional Materials 30, no. 50 (September 11, 2020): 2005285. http://dx.doi.org/10.1002/adfm.202005285.

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13

Zhiqiang Liu, Yan Xin, and G. B. Giannakis. "Space-time-frequency coded OFDM over frequency-selective fading channels." IEEE Transactions on Signal Processing 50, no. 10 (October 2002): 2465–76. http://dx.doi.org/10.1109/tsp.2002.803332.

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14

Farhan, Mhnd. "Performance Analysis of Coded Frequency Division Multiplexing." European Journal of Engineering and Formal Sciences 2, no. 3 (December 29, 2018): 56. http://dx.doi.org/10.26417/ejef.v2i3.p56-60.

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Анотація:

This paper studies the performance of coded orthogonal frequency division multiplexing system using two modulation techniques, quadrature phase shift keying(QPSK) and quadrature amplitude modulation(QAM). The convolutional code is used as error-correcting-code. The communication channel used is vehicular channel. Simulation results show that the performance of coded orthogonal frequency division multiplexing system with QPSK is better than that with QAM

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15

Farhan, Mhnd. "Performance Analysis of Coded Frequency Division Multiplexing." European Journal of Engineering and Formal Sciences 2, no. 3 (December 1, 2018): 56–60. http://dx.doi.org/10.2478/ejef-2018-0017.

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Анотація:

Abstract This paper studies the performance of coded orthogonal frequency division multiplexing system using two modulation techniques, quadrature phase shift keying(QPSK) and quadrature amplitude modulation(QAM). The convolutional code is used as error-correcting-code. The communication channel used is vehicular channel. Simulation results show that the performance of coded orthogonal frequency division multiplexing system with QPSK is better than that with QAM

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16

Periyalwar, S. S., and S. M. Fleisher. "Multiple trellis coded frequency and phase modulation." IEEE Transactions on Communications 40, no. 6 (June 1992): 1038–46. http://dx.doi.org/10.1109/26.142794.

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17

Gallagher, M. W., and D. C. Malocha. "Mixed orthogonal frequency coded SAW RFID tags." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 60, no. 3 (March 2013): 596–602. http://dx.doi.org/10.1109/tuffc.2013.2601.

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18

Botha, I. "Low-frequency suppression of baseband coded sequences." IEE Proceedings - Communications 142, no. 2 (1995): 49. http://dx.doi.org/10.1049/ip-com:19951812.

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19

Hong, Sungkwon, Youngwoo Yun, and Chaneon Kang. "LSB coded hybrid frequency phase shift keying." Electronics Letters 32, no. 11 (1996): 1021. http://dx.doi.org/10.1049/el:19960706.

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20

Zhang, Tao, Zhen-Qiang Yin, Zheng-Fu Han, and Guang-Can Guo. "A frequency-coded quantum key distribution scheme." Optics Communications 281, no. 18 (September 2008): 4800–4802. http://dx.doi.org/10.1016/j.optcom.2008.06.009.

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21

Lewandowski, M., and A. Nowicki. "High frequency coded imaging system with RF." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 55, no. 8 (August 2008): 1878–82. http://dx.doi.org/10.1109/tuffc.2008.871.

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22

Zhang, T., and G. Bi. "Optimisation of coded frequency and phase modulation." Electronics Letters 30, no. 17 (August 18, 1994): 1384–85. http://dx.doi.org/10.1049/el:19940928.

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23

Le Floch, B., M. Alard, and C. Berrou. "Coded orthogonal frequency division multiplex [TV broadcasting]." Proceedings of the IEEE 83, no. 6 (June 1995): 982–96. http://dx.doi.org/10.1109/5.387096.

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24

Kempf, Stefan, Martin Bossert, and Sergo Shavgulidze. "Woven coded continuous phase frequency shift keying." European Transactions on Telecommunications 15, no. 4 (July 2004): 323–36. http://dx.doi.org/10.1002/ett.981.

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25

Soyjaudah, K. M. S., and M. A. Hosany. "Combined Huffman Code and Generalized Array Codes Employing Phase/Frequency Modulation." Journal of Circuits, Systems and Computers 12, no. 01 (February 2003): 93–109. http://dx.doi.org/10.1142/s0218126603000866.

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Анотація:

The authors present a simple technique to combine source coding, channel coding and modulation. This technique employs the Huffman code for source coding, Generalized Array Codes (GAC) for channel coding and Phase/Frequency (BFSK/MPSK) for modulation. The combined scheme has the advantage of reducing the redundancy, providing error protection and simultaneously optimizing on channel bandwidth. It is shown the combined system gives the same performance as its separate counterparts but has lower complexity. The algorithm used to construct the combined trellis decoder employing phase/frequency for a given source text file is designed and implemented in software. The error performances for the combined schemes using BFSK/MPSK modulation are compared with those employing coded as well as Uncoded MPSK modulation. Such a Block Coded Modulation (BCM) scheme is suitable for both information storage and digital transmission systems.

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26

Kim, Dong-Hoon, Hyung-Jung Kim, and Jae-Han Lim. "Design of Optimized Coded LFM Waveform for Spectrum Shared Radar System." Sensors 21, no. 17 (August 28, 2021): 5796. http://dx.doi.org/10.3390/s21175796.

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Анотація:

To meet the increasing demands for remote sensing, a number of radar systems using Linear Frequency Modulation (LFM) waveforms have been deployed, causing the problem of depleting frequency resources. To address this problem, several researchers have proposed the Spectrum Shared Radar System (SSRS) in which multiple radars share the same frequency band to transmit and receive their own signals. To mitigate the interferences caused by the signal transmission by other radars, SSRS employs orthogonal waveforms that inherit the orthogonality of the waveforms from orthogonal codes. However, the inherited orthogonality of the codes is significantly reduced when incorporating LFM waveforms with the codes. To solve this problem, in this paper, we propose a novel but simple scheme for generating a set of optimized coded LFM waveforms via new optimization framework. In the optimization framework, we minimize the weighted sum of autocorrelation sidelobe peaks (ASP) and cross-correlation peaks (CP) of the coded LFM waveforms to maximize the orthogonality of the waveforms. Through computer simulations, we show that the waveforms generated by the proposed scheme outperform the waveforms created by previous proposals in terms of ASP and CP.

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27

Murad, Mohsin, Imran A. Tasadduq, and Pablo Otero. "Coded-GFDM for Reliable Communication in Underwater Acoustic Channels." Sensors 22, no. 7 (March 30, 2022): 2639. http://dx.doi.org/10.3390/s22072639.

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Анотація:

The performance of the coded generalized frequency division multiplexing (GFDM) transceiver has been evaluated in a shallow underwater acoustic channel (UAC). Acoustic transmission is the scheme of choice for communication in UAC since radio waves suffer from absorption and light waves scatter. Although orthogonal frequency division multiplexing (OFDM) has found its ground for multicarrier acoustic underwater communication, it suffers from high peak to average power ratio (PAPR) and out of band (OOB) emissions. We propose a coded-GFDM based multicarrier system since GFDM has a higher spectral efficiency compared to a traditional OFDM system. In doing so, we assess two block codes, namely Bose, Chaudari, and Hocquenghem (BCH) codes, Reed-Solomon (RS) codes, and several convolutional codes. We present the error performances of these codes when used with GFDM. Furthermore, we evaluate the performance of the proposed system using two equalizers: Matched Filter (MF) and Zero-Forcing (ZF). Simulation results show that among the various block coding schemes that we tested, BCH (31,6) and RS (15,3) give the best error performance. Among the convolutional codes that we tested, rate 1/4 convolutional codes give the best performance. However, the performance of BCH and RS codes is much better than the convolutional codes. Moreover, the performance of the ZF equalizer is marginally better than the MF equalizer. In conclusion, using the channel coding schemes with GFDM improves error performance manifolds thereby increasing the reliability of the GFDM system despite slightly higher complexity.

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28

Hu, Chang-Hong, Ruibin Liu, Qifa Zhou, Jesse Yen, and K. Kirk Shung. "Coded excitation using biphase-coded pulse with mismatched filters for high-frequency ultrasound imaging." Ultrasonics 44, no. 3 (July 2006): 330–36. http://dx.doi.org/10.1016/j.ultras.2006.04.002.

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29

Chieh-Fu Chang and M. R. Bell. "Frequency-coded waveforms for enhanced delay-doppler resolution." IEEE Transactions on Information Theory 49, no. 11 (November 2003): 2960–71. http://dx.doi.org/10.1109/tit.2003.818408.

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30

Xavier, G. B., and J. P. von der Weid. "Modulation schemes for frequency coded quantum key distribution." Electronics Letters 41, no. 10 (2005): 607. http://dx.doi.org/10.1049/el:20050466.

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31

Aksoy, K., and Ü Aygölü. "Super-orthogonal space-time-frequency trellis coded OFDM." IET Communications 1, no. 3 (2007): 317. http://dx.doi.org/10.1049/iet-com:20060094.

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32

Bhatt, T. D., P. V. D. Somasekhar Rao, and E. G. Rajan. "Design of frequency-coded waveforms for target detection." IET Radar, Sonar & Navigation 2, no. 5 (October 1, 2008): 388–94. http://dx.doi.org/10.1049/iet-rsn:20070078.

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33

Kim, Bong-seok, and Kwonhue Choi. "FADAC-OFDM: Frequency-Asynchronous Distributed Alamouti-Coded OFDM." IEEE Transactions on Vehicular Technology 64, no. 2 (February 2015): 466–80. http://dx.doi.org/10.1109/tvt.2014.2325606.

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34

Nyirenda, P. B. T. "Differential frequency detection of narrowband manchester coded FSK." Electronics Letters 27, no. 16 (1991): 1470. http://dx.doi.org/10.1049/el:19910920.

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35

Caldera, M. K., and K. S. Chung. "Trellis coded GMSK in frequency-selective fading channels." Electronics Letters 36, no. 25 (2000): 2082. http://dx.doi.org/10.1049/el:20001472.

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36

Laufer, S., and A. Reichman. "Convolutionally coded frequency-hopping communications with nonideal interleaving." IEEE Journal on Selected Areas in Communications 8, no. 5 (June 1990): 823–36. http://dx.doi.org/10.1109/49.56389.

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37

Aliasgari, Javad, Mohammadali Forouzandeh, and Nemai Karmakar. "Chipless RFID Readers for Frequency-Coded Tags: Time-Domain or Frequency-Domain?" IEEE Journal of Radio Frequency Identification 4, no. 2 (June 2020): 146–58. http://dx.doi.org/10.1109/jrfid.2020.2982822.

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38

Liu, Zheng, and Xuehua Mu. "Frequency-coded optimization of hopped-frequency pulse signal based on genetic algorithm." Journal of Electronics (China) 22, no. 1 (January 2005): 25–33. http://dx.doi.org/10.1007/bf02687947.

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39

McClanahan, Kristen, Ashlea Braun, and Jill Joyce. "Qualitative Assessment of Fire Station Food Environment Using Photovoice." Current Developments in Nutrition 6, Supplement_1 (June 2022): 144. http://dx.doi.org/10.1093/cdn/nzac051.060.

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Анотація:

Abstract Objectives Cardiovascular events are the leading cause of death for on-duty firefighters. Studies evaluating modifiable risk factors to mitigate this outcome are nascent. Limited qualitative data suggest fire station food environments are “toxic” and demand attention. Further defining objective evaluations of the food environment and associated perceptions among firefighters are essential for development of interventions. The objective of this study was to define the fire station food environment using a novel approach. Methods This cross-sectional study employed Photovoice to document food environment healthfulness of four fire stations within a rural Midwest career fire department. Photos of the fire station food environment were taken in the ‘voice’ of firefighters and researchers. Details surrounding timing, fire station, shift, food location, and voice were captured for each photo. Photos were then coded deductively based on criteria selected a priori, including presence of Healthy Eating Index 2015 (HEI) components for dietary quality (DQ) and behavioral economics techniques (BET) supporting foods in photos. NVivo qualitative analysis software was used for analysis. Descriptive statistics summarized frequency of codes and photo details. Chi-square was used to compare frequency of codes across photo details. Results Analysis included 40 images. Based on preliminary results, there were 273 total coded references. Moderation HEI components and BET promoting them were the most frequent codes: low DQ food is normal (10.3% of coded references), added sugar (9.9%), low DQ food is convenient (9.2%), low DQ foods are attractive (8.8%), saturated fat (8.4%), and sodium (8.4%). Adequacy HEI components and BET promoting them were less frequently coded: total fruit (1.5%), whole fruit (1.5%), whole grains (1.8%), and dark greens and legumes (2.2%). Conclusions Results confirm existing data that fire station food environments support low DQ food choices. The most common coded references were low DQ food is normal, attractive, and convenient, as well as presence of added sugar, saturated fat, and sodium. The least common coded references included presence of fruits, whole grains, and dark greens and legumes and their promotion. This indicates an unhealthy, obesogenic food environment. Funding Sources OSU Vice President for Research Jumpstart Accelerator Grant.

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40

Abdullah, Sabzar, and Mahbooba Khazir. "The association of oral health-related behaviour and dental caries among 6 -7 year old school children of Wilsonia Pakwara Moradabad : Across sectional study." UNIVERSITY JOURNAL OF DENTAL SCIENCES 6, no. 3 (January 11, 2021): 39–43. http://dx.doi.org/10.21276/ujds.2020.6.3.7.

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Анотація:

Abstract Aim: To find out the association between oral health related behavior and dental caries Methods: A cross-sectional study was conducted on the 6-7-year-old students of Wilsonian school, DFT was clinically assessed at the first visit and a validated questionnaire was distributed among the parents of the students. The questionnaire consists of the three main questions, one regarding the tooth brushing Frequency that was assessed by the following question: “How many times a day does your child brush his/her teeth?” with the answers of “twice or more/day,” “once/day,” “less than once/day,” and “do not know.” These answers were recorded as “twice or more/day; coded 1” and “less than twice/day (including ‘do not know’); coded 2”. Another question regarding the drinking sugar-sweetened beverages frequency was assessed by the following question: “How often does your child drink sugar-sweetened beverages?” with the answers of “several times/month or never; coded 1,” “once/week; coded 2,” “2- 3 times/week; coded 3,” “4-6 times/week; coded 4,” “once/day; coded 5” and “twice or more/day; coded 6.” .The Third question was regarding “Snack-eating habits” that was assessed by the following question: “When does your child eat snacks?” with the answer of “does not eat snacks; coded 1,” “eats snacks at a set time; coded 2” and “eats snacks freely whenever he/she wants; coded 3.” Results: Poor oral behavior was associated with higher DFT after adjusting for all covariates Toothbrushing frequency, frequency of drinking sugar-sweetened beverages and snack-eating habits (OR=1.49,CI-1.17-1.89) (OR=2.01,95% CI=1.27,3.18) and (OR=1.83,95%CI=1.14,2.92) associated with DFT, Conclusions: improving children’s oral health behavior might decrease their dental caries by Strengthening their self-control. KEYWORDS Child, child dentistry, dental caries, oral health behavior

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41

HASPELMATH, MARTIN, ANDREEA CALUDE, MICHAEL SPAGNOL, HEIKO NARROG, and ELİF BAMYACI. "Coding causal–noncausal verb alternations: A form–frequency correspondence explanation." Journal of Linguistics 50, no. 3 (August 8, 2014): 587–625. http://dx.doi.org/10.1017/s0022226714000255.

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Анотація:

We propose, and provide corpus-based support for, a usage-based explanation for cross-linguistic trends in the coding of causal–noncausal verb pairs, such as raise/rise, break (tr.)/break (intr.). While English mostly uses the same verb form both for the causal and the noncausal sense (labile coding), most languages have extra coding for the causal verb (causative coding) and/or for the noncausal verb (anticausative coding). Causative and anticausative coding is not randomly distributed (Haspelmath 1993): Some verb meanings, such as ‘freeze’, ‘dry’ and ‘melt’, tend to be coded as causatives, while others, such as ‘break’, ‘open’ and ‘split’, tend to be coded as anticausatives. We propose an explanation of these coding tendencies on the basis of the form–frequency correspondence principle, which is a general efficiency principle that is responsible for many grammatical asymmetries, ultimately grounded in predictability of frequently expressed meanings. In corpus data from seven languages, we find that verb pairs for which the noncausal member is more frequent tend to be coded as anticausatives, while verb pairs for which the causal member is more frequent tend to be coded as causatives. Our approach implies that linguists should not rely on form–meaning parallelism when trying to explain cross-linguistic or language-particular patterns in this domain.

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42

Nie, Gaoyang, Lei Wang, and Canlin Li. "Diagonal and Alamouti Space-Frequency Coded Quadrature Index Modulation." IEEE Communications Letters 26, no. 3 (March 2022): 607–11. http://dx.doi.org/10.1109/lcomm.2021.3137852.

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43

Tom, V. M., and S. Mohan. "Transit Route Network Design Using Frequency Coded Genetic Algorithm." Journal of Transportation Engineering 129, no. 2 (March 2003): 186–95. http://dx.doi.org/10.1061/(asce)0733-947x(2003)129:2(186).

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44

Leon-Garcia, Alberto, Sherman Chow, and Nur Serinken. "A coded frequency diversity system for HF data transmission." Canadian Electrical Engineering Journal 10, no. 4 (October 1985): 173–79. http://dx.doi.org/10.1109/ceej.1985.6594707.

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45

Djordjevic, I. B. "Coded-orthogonal frequency division multiplexing in hybrid optical networks." IET Optoelectronics 4, no. 1 (2010): 17. http://dx.doi.org/10.1049/iet-opt.2008.0059.

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46

Gleich, D., B. Gergic, Z. Cucej, and P. Planinsic. "Fuzzy-Coded Space-Frequency Quantization for SAR Data Compression." IEEE Geoscience and Remote Sensing Letters 1, no. 2 (April 2004): 90–93. http://dx.doi.org/10.1109/lgrs.2004.824765.

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47

Zhendong Luo, Junshi Liu, Ming Zhao, Yuanan Liu, and Jinchun Gao. "Double-orthogonal coded space-time-frequency spreading CDMA scheme." IEEE Journal on Selected Areas in Communications 24, no. 6 (June 2006): 1244–55. http://dx.doi.org/10.1109/jsac.2005.864007.

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48

Rende, D., and T. F. Wong. "Bit-interleaved space-frequency coded Modulation for OFDM systems." IEEE Transactions on Wireless Communications 4, no. 5 (September 2005): 2256–66. http://dx.doi.org/10.1109/twc.2005.853816.

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49

Pancaldi, F., and G. M. Vitetta. "Frequency-domain equalization for space-time block-coded systems." IEEE Transactions on Wireless Communications 4, no. 6 (November 2005): 2907–16. http://dx.doi.org/10.1109/twc.2005.858308.

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50

Zixiang Xiong and Xiaolin Wu. "Wavelet image coding using trellis coded space-frequency quantization." IEEE Signal Processing Letters 6, no. 7 (July 1999): 158–61. http://dx.doi.org/10.1109/97.769357.

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