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      Perspectives on Theories and Methods of Structural Signal Processing

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          Abstract

          Over the past decade structural signal processing is an emerging field, which gained researchers' intensive attentions in various areas including the applied mathematics, physics, information theory, signal processing, and so on. The structural signal processing is a paradigm of making the revolutionary refresh on theories and methods in the nutshell of traditional signal processing based on the well-known Nyquist-Shannon theory, which will render us a new perspective on the adaptive data acquisition in the task-driven manner. Basically, the structural signal processing includes four research contents (MAMA): (a) Measures for the structural signal, (b) Algorithms for reconstructing the structural signal at the low-complexity computational cost, (c) Methods for smart data acquisition at the low hardware cost and system complexity, and (d) Applications of structural signal processing in applied fields. This paper reviews on the recent progress on the theory and algorithms for structural signal processing, which will provides hopefully useful guide for readers of interest.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 October 2015
          : 4
          : 5
          : 491-502
          Affiliations
          [1 ] School of Electronics Engineering and Computer Science, Peking University
          [2 ] State Key Laboratory of Millimeter Waves, Southeast University
          Article
          ece71e0220ff4102af1c1fce3a18be91
          10.12000/JR15111

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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