Digital Filters with Adaptive Length for Real-Time Applications

نویسندگان

  • Nicolas Perrin
  • Bonnie Heck Ferri
چکیده

This paper explores the use of imprecise computing to develop digital filters with adaptive length in order to meet real-time constraints. A large-order filter typically provides better filtering but takes longer to compute than a low order filter. An adaptive length filter can provide a resource manager with alternatives that can be used if resources become scarce. This paper discusses the use of standard IIR filters used in controls applications and how these filters can be implemented in prioritized stages. Examples are given to show how to implement a 60 hertz notch filter using imprecise computing.

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تاریخ انتشار 2004