Title :
The generalization of the Wiener-Khinchin theorem
Author_Institution :
City Univ. of New York, NY, USA
Abstract :
We generalize the Wiener-Khinchin theorem. A full generalization is presented where both the autocorrelation function and power spectral density are defined in terms of a general basis set. In addition, we present a partial generalization where the density is the Fourier transform of the autocorrelation function but the autocorrelation function is defined in terms of an arbitrary basis set. Both the deterministic and random cases are considered
Keywords :
Fourier transforms; correlation methods; mathematical operators; random processes; signal processing; spectral analysis; Fourier transform density; Wiener-Khinchin theorem generalization; autocorrelation function; characteristic function operator; deterministic signals; full generalization; general basis set; partial generalization; power spectral density; random signals; signal analysis; Autocorrelation; Contracts; Educational institutions; Fourier transforms; Frequency; NASA; Signal analysis;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.681753