Title :
Two-dimensional AR spectral estimation using a two-dimensional minimum free energy method
Author_Institution :
Dept. of Electron. & Commun. Eng., Dublin Inst .of Technol., Ireland
fDate :
12/1/1995 12:00:00 AM
Abstract :
We present a 2-D extension of the minimum free energy (MFE) autoregressive parameter and spectral estimation technique. MFE can outperform the multidimensional Levinson algorithm producing superior spectral estimation of 2-D sinusoids in white Gaussian noise. MFE spectral estimates are found to be comparable to modified covariance method estimates. MFE also outperforms the conventional Fourier method for closely spaced sinusoids at low signal-to-noise ratio and low data set size
Keywords :
Gaussian noise; autoregressive processes; correlation methods; parameter estimation; spectral analysis; white noise; 2-D sinusoids; Fourier method; autocorrelation; autoregressive parameter estimation; autoregressive spectral estimation; closely spaced sinusoids; low data set size; low signal-to-noise ratio; multidimensional Levinson algorithm; two-dimensional minimum free energy method; white Gaussian noise; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Automatic control; Multidimensional signal processing; Parameter estimation; Performance analysis; Signal processing algorithms; Silicon compounds;
Journal_Title :
Signal Processing, IEEE Transactions on
