An Efficient Adaptive Fir Filter Based On Distributed Arithmetic

نویسندگان

  • M. Usha
  • R. Ramadoss
  • P. G. Scholar
چکیده

Adaptive filtering constitutes an important class of DSP algorithms employed in several hand held mobile devices for applications such as echo cancellation, signal de-noising, and channel equalization. The throughput of the proposed design is increased by parallel lookup table (LUT) update.The 16:1 multiplexer is replace by a 8:1 and 2:1 MUX. The conventional adder-based shift accumulation for DA-based inner-product computation is replaced by conditional signed carry-save accumulation in order to reduce the area complexity; the power consumption of the proposed design is reduced by using a fast bit clock for all operations. It involves the same number of multiplexors, smaller LUT, and nearly half the number of adders compared to the existing DA-based design. The proposed architecture is found to involve significantly 29% less area-13% less power and throughput compared with the existing DA-based implementations of FIR filter and a increase in operating frequency of 12MHZ is achieved.

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تاریخ انتشار 2014