Efficient FFT-based spectral analysis using polynomial-based filters for next generation test systems

In this paper we propose a novel signal processing front end for fast Fourier transform(FFT)-based spectrum analyzers. Recent developments in polynomial-based filtering have yielded efficient structures for sample rate reduction by arbitrary factors. This is a key operation in FFT-based spectral analysis when arbitrary span capability is required. It is shown how employing these structures leads to more efficient solutions than were previously available.