The design of a highly configurable continuous flow mixed-radix (CFMR) Fast Fourier Transform (FFT) processor is presented. It computes fixed-point complex FFTs and inverse FFTs (IFFTs), and utilizes a flexible addressing scheme to enable runtime configuration of the FFT length from 16-points to 4096-points. A configurable block floating point (BFP) unit increases numerical performance. Compared to a floating point Matlab FFT function, the accuracy of the proposed architecture is 80 dB for a 64-point FFT and 74 dB for a 1024-point FFT with random complex input data.
Anthony T. Jacobson, Dean N. Truong, Bevan M. Baas, "The Design of a Reconfigurable Continuous-Flow Mixed-Radix FFT Processor" IEEE International Symposium on Circuits and Systems (ISCAS), May 2009, pp. 1133-1136.
@INPROCEEDINGS{Jacobson:ISCAS, author={Jacobson, A.T. and Truong, D.N. and Baas, B.M.}, booktitle={Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on}, title={The design of a reconfigurable continuous-flow mixed-radix {FFT} processor}, year={2009}, month={May.}, pages={1133-1136}, doi={10.1109/ISCAS.2009.5117960} }