Spectral analysis techniques using Prism signal processing

The Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost fixed irrespective of filter length. also has negligible design cost. Recent work demonstrated how, using simple rules, chain six Prisms can create narrowband with arbitrary central frequency and bandwidth. In this paper, the technique applied to spectral analysis data, whereby sequence filters data set provide narrow analysis, yielding accurate estimates frequencies amplitudes peaks in data. Although time domain remains computationally expensive compared FFT, it identify reject leakage, offering an alternative for low amplitude and/or adjacent peaks, including hidden tones, where FFT discrimination may be limited.