Title :
The representation of signals in terms of spectral amplitude
Author_Institution :
Georgia Institute of Technology, Atlanta, Georgia
Abstract :
In this paper, the importance of spectral phase and magnitude is examined from a different point of view. In particular, an amplitude and angle based representation of spectral information is developed. With this formulation, a causal finite length signal is uniquely defined by its spectral amplitude or, to within a scale factor, by its spectral angle.
Keywords :
Contracts; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Frequency;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
DOI :
10.1109/ICASSP.1983.1171920