Spectrum analysis using a new autocorrelation measure
Authors: Dendrinos, Markos 
Carayiannis, George 
Publisher: IEEE
Issue Date: 1-Jan-1988
Conference: International Conference on Acoustics, Speech, and Signal Processin (ICASSP-88) 
Is Part of: Proceedings of International Conference on Acoustics, Speech, and Signal Processing 
Keywords: Autocorrelation, Frequency estimation, Lattices, Equations, Eigenvalues and eigenfunctions, Spectral analysis, Matrix decomposition, Harmonic analysis, Signal analysis, Singular value decomposition
Abstract: 
An autocorrelation measure of a single-frame which is not derived directly from the data is defined. A lattice method is first used to compute the frame-reflection coefficients. Then the predictor coefficients are computed, and the normal equations result in a new set of autocorrelation lags named the lattice autocorrelation measure (LAM). LAM is shown to be more accurate than the conventional Bar...
DOI: 10.1109/ICASSP.1988.197143
URI: https://uniwacris.uniwa.gr/handle/3000/586
Type: Conference Paper
Department: Department of Archival, Library and Information Studies 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια

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