A power-aware IP core generator for the one-dimensional discrete fourier transform

This paper presents a power-aware IP core generator for the 1-D DFT design. We optimize the proposed DFT IP design both in algorithm and architecture levels for achieving low hardware complexity. In algorithm level, we first use radix-2^c algorithm to split a length-N DFT into multiple length-N/2^c DFTs for facilitating computation sharing between parallel DFT outputs. Then, we formulate the length-N/2^c DFT into cyclic convolution form to facilitate the hardware cost reduction. In architecture level, we implement the design with a filter-based architecture optimized by bit-level sub-expression sharing. In addition, we have applied the power-aware design concept in the proposed IP core generator through trading-off the power consumption, data precision, and hardware cost in the design phase by parameter configurations through graphic user interface.