Academic literature on the topic 'Multi-scale multi-lag channels'

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Journal articles on the topic "Multi-scale multi-lag channels"

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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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Liu, Yun, Fei Ji, Miaowen Wen, Hua Yu, Fangjiong Chen, and Dehuan Wan. "Power Allocation for OFDM Over Multi-scale Multi-lag Channels." IEEE Transactions on Vehicular Technology 67, no. 3 (March 2018): 2345–58. http://dx.doi.org/10.1109/tvt.2017.2771346.

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Beygi, Sajjad, and Urbashi Mitra. "Optimal Bayesian Resampling for OFDM Signaling Over Multi-scale Multi-lag Channels." IEEE Signal Processing Letters 20, no. 11 (November 2013): 1118–21. http://dx.doi.org/10.1109/lsp.2013.2282339.

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Zhang, Xing, Kang Song, Chunguo Li, and Luxi Yang. "Parameter Estimation for Multi-Scale Multi-Lag Underwater Acoustic Channels Based on Modified Particle Swarm Optimization Algorithm." IEEE Access 5 (2017): 4808–20. http://dx.doi.org/10.1109/access.2017.2681101.

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Beygi, Sajjad, and Urbashi Mitra. "Multi-Scale Multi-Lag Channel Estimation Using Low Rank Approximation for OFDM." IEEE Transactions on Signal Processing 63, no. 18 (September 2015): 4744–55. http://dx.doi.org/10.1109/tsp.2015.2449266.

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Xu, Tao, Zijian Tang, Rob Remis, and Geert Leus. "Iterative equalization for OFDM systems over wideband Multi-Scale Multi-Lag channels." EURASIP Journal on Wireless Communications and Networking 2012, no. 1 (August 31, 2012). http://dx.doi.org/10.1186/1687-1499-2012-280.

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Williams, Thomas, Robert W. Walsh, Stephane Regnier, and Craig D. Johnston. "Multi-Stranded Coronal Loops: Quantifying Strand Number and Heating Frequency from Simulated Solar Dynamics Observatory (SDO) Atmospheric Imaging Assembly (AIA) Observations." Solar Physics 296, no. 6 (June 2021). http://dx.doi.org/10.1007/s11207-021-01848-8.

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AbstractCoronal loops form the basic building blocks of the magnetically closed solar corona yet much is still to be determined concerning their possible fine-scale structuring and the rate of heat deposition within them. Using an improved multi-stranded loop model to better approximate the numerically challenging transition region, this article examines synthetic NASA Solar Dynamics Observatory’s (SDO) Atmospheric Imaging Assembly (AIA) emission simulated in response to a series of prescribed spatially and temporally random, impulsive and localised heating events across numerous sub-loop elements with a strong weighting towards the base of the structure: the nanoflare heating scenario. The total number of strands and nanoflare repetition times is varied systematically in such a way that the total energy content remains approximately constant across all the cases analysed. Repeated time-lag detection during an emission time series provides a good approximation for the nanoflare repetition time for low-frequency heating. Furthermore, using a combination of AIA 171/193 and 193/211 channel ratios in combination with spectroscopic determination of the standard deviation of the loop-apex temperature over several hours alongside simulations from the outlined multi-stranded loop model, it is demonstrated that both the imposed heating rate and number of strands can be realised.
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Book chapters on the topic "Multi-scale multi-lag channels"

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Lu, H., T. Xu, and H. Nikookar. "Cooperative Communication over Multi-Scale and Multi-Lag Wireless Channels." In Ultra Wideband - Current Status and Future Trends. InTech, 2012. http://dx.doi.org/10.5772/48719.

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Conference papers on the topic "Multi-scale multi-lag channels"

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Mitra, Urbashi, and Geert Leus. "Equalizers for Multi-Scale/Multi-Lag Wireless Channels." In GLOBECOM 2010 - 2010 IEEE Global Communications Conference. IEEE, 2010. http://dx.doi.org/10.1109/glocom.2010.5684178.

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Tang, Zijian, Rob Remis, Tao Xu, Geert Leus, and Magnus Lundberg Nordenvaad. "Equalization for multi-scale multi-lag OFDM channels." In 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2011. http://dx.doi.org/10.1109/allerton.2011.6120230.

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Leus, Geert, Tao Xu, and Urbashi Mitra. "Block transmission over multi-scale multi-lag wireless channels." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757562.

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Halder, Niladri, Arunkumar K.P., and Chandra R. Murthy. "Variational Bayesian Channel Estimation in Wideband Multi-Scale Multi-Lag Channels." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10096114.

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Liu, Yun, Fei Ji, Fangjiong Chen, Miaowen Wen, Hua Yu, and Yinming Cui. "Performance Analysis of OFDM over Multi-Scale Multi-Lag Channels." In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). IEEE, 2017. http://dx.doi.org/10.1109/vtcfall.2017.8287943.

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Lu, H., T. Xu, M. Lakshmanan, and H. Nikookar. "Cooperative Wavelet Communication over Multi-Relay, Multi-Scale and Multi-Lag Wireless Channels." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956507.

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Beygi, Sajjad, Srinivas Yerramalli, and Urbashi Mitra. "Optimal Bayesian resampling for OFDM signaling over multi-scale multi-lag channels." In the Seventh ACM International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2398936.2398944.

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Beygi, Sajjad, and Urbashi Mitra. "Multi-scale multi-lag channel estimation using low rank structure of received signal." In ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2014. http://dx.doi.org/10.1109/icassp.2014.6854413.

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Socheleau, Francois-Xavier. "Joint signal detection and channel estimation in multi-scale multi-lag underwater acoustic environments." In 6th Underwater Acoustics Conference and Exhibition. ASA, 2021. http://dx.doi.org/10.1121/2.0001431.

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Beygi, Sajjad, Urbashi Mitra, and Mariane R. Petraglia. "Multi-scale multi-lag channel estimation via linearization of training signal spectrum and sparse approximation." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178566.

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