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Books on the topic 'Blind equalization'

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Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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1

Ilow, Jacek. Simulated annealing optimization in blind equalization. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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2

Zhang, Wen Pian Paul. Transmitter-induced cyclostationarity for blind channel identification and equalization. Ottawa: National Library of Canada, 2000.

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3

Jiang, Yufei, Xu Zhu, Eng Gee Lim, Yi Huang, and Hai Lin. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24984-1.

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4

Au, Kelvin Kar-Kin. Semi-blind spatial-temporal equalization for short burst wireless communications. Ottawa: National Library of Canada, 2000.

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5

Tse, Eloise. Blind equalization with differential detection for channels with ISI and fading. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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6

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

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7

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

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8

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

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9

Ding, Zhi, and Ye Li. Blind Equalization and Identification. Taylor & Francis Group, 2018.

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10

Blind Equalization and System Identification. London: Springer-Verlag, 2006. http://dx.doi.org/10.1007/1-84628-218-7.

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11

Kolosovs, Deniss. Adaptive Blind Equalization Algorithms for QAM Systems. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227882.

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Abstract:
The Doctoral Thesis is devoted to the problems of blind alignment in QAM systems. It offers an optimization of existing algorithms to minimize the error probability in decision-making. The theoretical foundation for grouping QAM constellation points to synthesize blind equalization algorithms is considered. The Thesis proposes a methodology for switching equalization algorithms, ensuring their compliance with the level of residual interference. It describes the FPGA implementation of the proposed algorithms and provides field measurement results.
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12

Blind Equalization and Identification (Signal Processing and Communications). CRC, 2001.

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13

Zhang, Liyi, and Tsinghua University Tsinghua University Press. Blind Equalization in Neural Networks: Theory, Algorithms and Applications. de Gruyter GmbH, Walter, 2017.

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14

Zhang, Liyi, and Tsinghua University Tsinghua University Press. Blind Equalization in Neural Networks: Theory, Algorithms and Applications. de Gruyter GmbH, Walter, 2017.

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15

Lin, Hai, Xu Zhu, Yi Huang, Eng Gee Lim, and Yufei Jiang. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Springer London, Limited, 2015.

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16

Lin, Hai, Xu Zhu, Yi Huang, Eng Gee Lim, and Yufei Jiang. Semi-Blind Carrier Frequency Offset Estimation and Channel Equalization. Springer, 2015.

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17

Zhang, Liyi, and Tsinghua University Tsinghua University Press. Blind Equalization in Neural Networks: Theory, Algorithms and Applications. de Gruyter GmbH, Walter, 2017.

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18

Blind equalization and system identification: Batch processing algorithms, performance and applications. London, UK: Springer, 2004.

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19

Chi, Chong-Yung. Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications. Springer, 2006.

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20

Chi, Chong-Yung, Chih-Chun Feng, Chii-Horng Chen, and Ching-Yung Chen. Blind Equalization and System Identification: Batch Processing Algorithms, Performance and Applications (Advanced Textbooks in Control & Signal Processing). Springer, 2006.

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