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              <text>Digital data produced through data-processing algorithms has fundamental advantages of transportability, proficiency, and accuracy; but on the other hand, the data thus produced brings in several redundancies. To solve this challenging problem with data transmission in network surroundings, research on information security and forensics provides efficient solutions that can shield the privacy, reliability, and accessibility of digital information from malicious intentions. Despite two decades of rigorous research, multicarrier communications still suffer from high complexity and low convergence, which have an immense practical impact. It is also more challenging to ensure proper transmission of multimodal data. Novel techniques have been proposed that can effectively abate these problems and provide good symbol error rate performance. The singularity expansion method provides a superior way to identify targets. This type of method may be useful for addressing contemporary problems faced by radar and antenna researchers.  2021 John Wiley &amp;amp; Sons Ltd.</text>
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              <text>Sarkar S.; Basu A.; Bhattacharyya S.</text>
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              <text>Intelligent Multi-modal Data Processing, pp. 249-251.</text>
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              <text>&lt;a href="https://doi.org/10.1002/9781119571452.ch11" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/9781119571452.ch11&lt;/a&gt;
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              <text>ISBN: 2020022620; 978-111957145-2; 2020022619; 978-111957138-4</text>
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              <text>Sarkar S., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Basu A., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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