Title :
Spectral estimation using level-crossing data
Author :
Hostetter, Gene H.
Author_Institution :
University of California, Irvine, California, USA
Abstract :
Conventional signal sampling is with uniform time-step, variable amplitude. This paper considers level-crossing samples, in which the amplitude is uniform and the time-step is variable. Time-varying spectral observer techniques are applied to the problem of determining the spectrum of a suitably bandlimited signal from its level-crossings.
Keywords :
Discrete Fourier transforms; Eigenvalues and eigenfunctions; Equations; Fourier transforms; Hardware; Linear approximation; Object detection; Radar; Signal sampling; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172733