Advanced methods for short signal spectrum estimation (Q2826024)

Power Spectrum (PS) estimation is a measure of the average power contained in a certain range of frequency. To such a subject is devoted is devoted the the present book. Although of a moderate extent, 135 pages, this volume encompasses the major part of the problems related to PS estimation: nonparametric, parametric and subspace methods. To have a look of the items to be found in the book, we give itsNEWLINENEWLINENEWLINEContents: 1. Introduction. 2. Comparative Analysis of Power Spectrum Estimation. 3. The Burg Algorithm with Extrapolation for Improving the Frequency Estimation. 4. A Forward-Backward Approach for Instantaneous Frequency of Frequency Modulated Signals. 5. Missing Data Restoration Algorithm. 6. Discrete Fourier and Cosine Transform of Time-Varying Signals. 7. Discrete Fourier Transform of 2D of Time-Varying Signals. 8. Recursive Fast 2D Convolution Time-Varying Signals. 9. A Recursive Algorithm to Estimate Spectrum. 10. Signal Decimation. 11. Decimated Signal Statistics.NEWLINENEWLINENEWLINETo treat such a vast material, the authors realized a very dense book. It is to be remarked some significant feature: a) the up-date exposition; b) the inclusion of related references at the end of each chapter; c) the exposition of each chapter with the following order, theory, and simulations with numerous numerical examples. So, the present book could be used as an excellent material for junior-graduate and major graduate level courses. The book includes many contributions of the authors which are active worker in PS estimation.