We present a linear algebraic method, named the eXtended Fourier Transform (XFT), for spectral estimation from truncated time signals. The method is a hybrid of the discrete Fourier transform (DFT) and the regularized resolvent transform (RRT) (J. Chen et al., J. Magn. Reson. 147, 129-137 (2000)). N
A linear transform for spectral estimation
โ Scribed by Lagunas-Hernandez, M.; Figueiras-Vidal, A.; Marino-Acebal, J.; Vilanova, A.
- Book ID
- 117905669
- Publisher
- IEEE
- Year
- 1981
- Weight
- 697 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0096-3518
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๐ SIMILAR VOLUMES
A new numerical expression, called the regularized resolvent transform (RRT), is presented. RRT is a direct transformation of the truncated time-domain data into a frequency-domain spectrum and is suitable for high-resolution spectral estimation of multidimensional time signals. One of its forms, un
We consider the minimax-linear estimator in a linear regression model with circular constraints. Two necessary and sufficient conditions for the optimality of an estimator, the socalled left spectral equation and the right spectral equation (Girko spectral equation), are derived. For the special cas