Low-Area/Power Parallel FIR Digital Filter Implementations

  • Authors:
  • David A. Parker;Keshab K. Parhi

  • Affiliations:
  • Theseus Logic, Inc., 1080 Montreal Ave., Suite 200, St. Paul, MN 55116;Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455

  • Venue:
  • Journal of VLSI Signal Processing Systems
  • Year:
  • 1997

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Abstract

This paper presents a novel approach for implementing area-efficientparallel (block) finite impulse response (FIR) filters that require lesshardware than traditional block FIR filter implementations. Parallelprocessing is a powerful technique because it can be used to increase thethroughput of a FIR filter or reduce the power consumption of a FIR filter.However, a traditional block filter implementation causes a linear increasein the hardware cost (area) by a factor of L, the block size.In many design situations, this large hardware penalty cannot be tolerated.Therefore, it is important to design parallel FIR filter structures thatrequire less area than traditional block FIR filtering structures. In thispaper, we propose a method to design parallel FIR filter structures thatrequire a less-than-linear increase in the hardware cost. A novel adjacent coefficient sharing based sub-structure sharing techniqueis introduced and used to reduce the hardware cost of parallel FIR filters.A novel coefficient quantization technique, referred to as a scalable maximum absolute difference (MAD) quantizationprocess, is introduced and used to produce quantized filters withgood spectrum characteristics. By using a combination of fast FIR filteringalgorithms, a novel coefficient quantization process and area reductiontechniques, we show that parallel FIR filters can be implemented with up toa 45% reduction in hardware compared to traditional parallel FIRfilters.