Title :
Estimation of phase for noisy linear phase signals
Author :
Cadzow, James A. ; Kakarala, Ramakrishna
Author_Institution :
Dept. of Electr. Eng., Vanderbilt Univ., Nashville, TN, USA
Abstract :
A procedure for estimating the parameters associated with a linear phase signal is developed. When the data being modelled is composed of a linear phase signal corrupted by additive Gaussian noise the approach taken results in maximum-likelihood estimates of the linear phase parameters. These estimates are useful for detecting and estimating the presence of symmetry in both one and two dimensions. The effectiveness of the estimates is tested on both synthetic and real images
Keywords :
Gaussian noise; image processing; maximum likelihood estimation; phase estimation; additive Gaussian noise; image processing; linear phase parameters; maximum-likelihood estimates; noisy linear phase signals; parameter estimation; phase estimation; real images; symmetry detection; symmetry estimation; synthetic images; Amplitude estimation; Force measurement; Fourier transforms; Frequency estimation; Maximum likelihood estimation; Parameter estimation; Phase detection; Phase estimation; Phase measurement; Phase noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480088
