The Advantage of Cyclic Spectral Analysis
Eric April · Defense Technical Information Center (DTIC) · 1991
This report shows that cyclic spectral analysis, as a general tool for signal spectral analysis, is much superior to more conventional spectral analysis. Three major advantages are pointed out: its signal's discriminatory capability enables signal selectivity (even for highly corrupted environments); it provides a richer domain for signal analysis; and the theory of spectral correlation allows much complete mechanism for modelling communication signals in several applications. A conceptual view of the cyclic spectrum is presented along with a working example. A strong mathematical foundation for the theory of spectral correlation involved in cyclic spectral analysis is provided. Finally, investigations are made on some interesting applications where exploitation of the inherent redundancy associated with spectral correlation can be used advantageously.