New Digital Signal Processing Methods : Applications to Measurement and Diagnostics /
This book is intended as a manual on modern advanced statistical methods for signal processing. The objectives of signal processing are the analysis, synthesis, and modification of signals measured from different natural phenomena, including engineering applications as well. Often the measured signa...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020
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| Edition: | 1st ed. 2020 |
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Table of Contents:
- In what cases the non-linear fitting problem is reduced to the well-known linear least square method? The Eigen-Coordinates method.
- A nontrivial example of the application of the ECs method: Description of the blow-like signals.
- The statistics of the fractional moments and its application for quantitative "reading" of real data.
- The quantitative "universal" label (QUL) and the universal distribution function for the relative fluctuations (UDFRF).
- Description of the partly correlated random sequences: Replacement of the random sequences by the generalized Prony spectrum.
- The general theory of reproducible and quasi-reproducible experiments.
- Non-orthogonal Amplitude Frequency Analysis of the Smoothed Signals (NAFASS) and its application for the description of multi-frequency signals.
- NIMRAD in action: Application