A Novel Concept for Adaptive Signal Processing on Reconfigurable Hardware

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• 作者：Peter Figuli (17)
  Carsten Tradowsky (17)
  Jose Martinez (17)
  Harry Sidiropoulos (18)
  Kostas Siozios (18)
  Holger Stenschke (19)
  Dimitrios Soudris (18)
  J眉rgen Becker (17)
  
  17. Institute for Information Processing Technologies ; Karlsruhe Institute of Technology ; Karlsruhe ; Germany
  18. School of Electrical and Computer Engineering ; National Technical University of Athens ; Athens ; Greece
  19. School of Music ; University of Applied Sciences and Arts Northwestern Switzerland ; Basel ; Switzerland
  
• 关键词：Adaptive signal processing ; Reconfigurable hardware ; Dynamic reconfiguration
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9040
• 期：1
• 页码：311-320
• 全文大小：925 KB
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• 作者单位：Applied Reconfigurable Computing
• 丛书名：978-3-319-16213-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Today, digital signal processing systems for applications like audio or video production are restricted as they do not exhaust the possibilities given by modern hardware. Reconfigurable hardware exploits a huge degree of parallelism and provides flexibility at an affordable energy budget, thus becoming a competitive alternative for high performance Digital Signal Processing (DSP) applications, previously dominated by general purpose processing cores and Application-Specific Integrated Circuits (ASICs). This paper describes the design and evaluation of a novel concept for adaptive signal processing on reconfigurable hardware by using an adaptive reverberation algorithm targeting real time streams. Novel solutions were adopted in several critical parts of the signal processing chain in order to achieve a high level of accuracy under real time constraints. Experimental results show the efficiency of the introduced implementation on a Virtex-7 FPGA, as we can provide reality accurate reverberation with ultra low latency of \(\sim 20.8\,\mu {}s\) .