Sparse Recovery Based IN Cancelation
In this chapter, the second key techn ology on the third scientific problem of this book, i.e. the sparse recovery theory based impulsive noise (IN) reconstruction and cancelation, is investigated. The highly efficient new technique of accurate IN recover
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Sicong Liu
Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation
Springer Theses Recognizing Outstanding Ph.D. Research
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Sicong Liu
Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation Doctoral Thesis accepted by Tsinghua University, Beijing, China
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Author Dr. Sicong Liu Department Information and Communication Engineering School of Informatics Xiamen University Xiamen, Fujian, China
Supervisor Prof. Jian Song Electronic Engineering, DTV Technology R&D Center Tsinghua University Beijing, China
ISSN 2190-5053 ISSN 2190-5061 (electronic) Springer Theses ISBN 978-981-15-4723-2 ISBN 978-981-15-4724-9 (eBook) https://doi.org/10.1007/978-981-15-4724-9 Jointly published with Tsinghua University Press The print edition is not for sale in China (Mainland). Customers from China (Mainland) please order the print book from: Tsinghua University Press. © Tsinghua University Press 2021 This work is subject to copyright. All rights are reserved by the Publishers, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse
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