Parametrizable behavioral IP module for a data-localized low-power FFT

Abstract

FFTs are important modules in embedded telecom systems, many of which require low-power real-time implementations. This paper describes a technique for aggressively localizing data accesses in a (inverse) fast Fourier transformation at the source code level. The global I/O functionality is not modified and neither is the bit-true arithmetic behavior. Typically 20 to 50% of the background memory accesses can be saved. A heavily parametrizable solution is proposed which leads to a family of power optimized algorithm codes. Moreover, efficient coding details for specific instances are shown.