Title :
Spectrum estimation of two-dimensional signals via the Radon transform
Author :
Easton, Roger L., Jr.
Author_Institution :
Center for Imaging Sci., Rochester Inst. of Technol., NY, USA
Abstract :
Summary form only given. The Radon transform has been applied to spectrum estimation of noisy 2-D signals. Estimation of the spectrum of noisy temporal signals is a classic signal processing problem, and a number of estimation algorithms have been developed. These include periodograms, the Blackman-Tukey method, and autoregressive moving average (ARMA) models. Extension of the first two algorithms to multidimensional signals is straightforward. However, the additional available degrees of freedom affect the applicability of ARMA models to multidimensional problems. It has been demonstrated that standard 1-D ARMA models can be applied to the individual projections and combined to estimate the 2-D spectrum. Limitations of the algorithm have been explored
Keywords :
signal processing; spectral analysis; transforms; ARMA models; Blackman-Tukey method; Radon transform; autoregressive moving average; estimation algorithms; multidimensional signals; noisy 2-D signals; noisy temporal signals; periodograms; signal processing; spectrum estimation; Azimuth; Computational efficiency; Convolution; Frequency; Multidimensional signal processing; Multidimensional systems; Signal processing; Signal processing algorithms; Space technology; Spectral analysis;
Conference_Titel :
Multidimensional Signal Processing Workshop, 1989., Sixth
Conference_Location :
Pacific Grove, CA
DOI :
10.1109/MDSP.1989.97047