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