Exploitation of spectral redundancy in cylostationary signals

Three properties shared by many manmade signals are described: (1) the property that enables generation of spectral lines by quadratically transforming the signal; (2) the statistical property called second-order cyclostationarity, which means that the autocorrelation function fluctuates periodically with time; and (3) the correlation property for signal components in distinct spectral bands. It is shown that these three properties are different manifestations of a single attribute called spectral redundancy. This intriguing attribute is studied, and a variety of ways for exploiting it to perform signal processing tasks involving detection and estimation of highly corrupted manmade signals are explained.