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Abhilash, R., Dubey, S. and Chinnaaiah, M.C. (2015) High Performance and Area Efficient Signed Baugh-Wooley Multiplier with Wallace Tree Using Compressors. International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), Visakhapatnam, 24-25 January 2015, 1-4.

has been cited by the following article:

  • TITLE: High-Performance FIR Filter Implementation Using Anurupye Vedic Multiplier

    AUTHORS: S. Jayakumar, Dr. A. Sumathi

    KEYWORDS: Finite Impulse Response (FIR) Filter, Urdhava Triyagbhyam, Anurupye Vedic Multiplier, Very High-Speed Hardware Description Language (VHDL)

    JOURNAL NAME: Circuits and Systems, Vol.7 No.11, September 16, 2016

    ABSTRACT: In this, today’s world immeasurable analysis goes within the field of communication and signal processing applications. The FIR filter is mostly employed in filtering applications to enhance the quality of the signal. In any processor, the performance of the system is based on the speed of the multiplier unit involved in its operation. Since multiplier forms the indispensable building blocks of the FIR filter system. Its performance has contributed in determining the execution of the FIR filter system. Also, due to the tremendous development in the technology, many approaches such as an array, Vedic methods are made to speed up the multiplier computations. The problem in speed-up operation and resource utilization of hardware with all the conventional methods due to the critical path found in partial products has to be optimized using proposed method. This paper presents the implementation and execution of a FIR Filter design using Anurupye multiplier. Here the FIR filter is examined by using various multiplier algorithms such as Anurupye, Urdhava Tiryagbhyam, and array multipliers. The FIR filter is simulated for analyzing delay; area and power are meted out and lessened by utilizing proposed Anurupye multiplier. The FIR filter design utilizing proposed multiplier offers delay around 18.99 and only 4% of LUT slice utilization compared to existing methods. This architecture is coded in VHDL, simulated using the ModelSim and synthesized with Xilinx.