Multimodal signal processing techniques for chip-based telemetric ECG: with illustrated atlas / catalogue of multialgorithmic digital signal processing results in different metrological cases

ISBN 10: 6202310448 / ISBN 13: 9786202310444

Published by Scholars' Press, 2019

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Bibliographic Details

• Title: Multimodal signal processing techniques for chip-based telemetric ECG: with illustrated atlas / catalogue of multialgorithmic digital signal processing results in different metrological cases
• Publisher: Scholars' Press
• Publication Date: 2019
• Language: English
• ISBN 10: 6202310448
• ISBN 13: 9786202310444
• Binding: Soft cover
• Condition: New

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Synopsis

3D Time-Variance FFT Representations; Autocorrelation Functions; Lomb Periodograms; Hurst Exponents; Non-Parametric Interpolation; Spline Interpolation; Savitzky-Golay Smoothing; Multi-Taper Frequency Spectra; Gaussian Deconvolution; Wavelet Smoothing and Denoising; Eigendecomposition Filtering and Reconstruction; Wavelet Transform Fingerprinting; Continuous Wavelet Transform – Time Range or Time-Frequency Spectra; Prony Energy Spectra (Complex Exponential Frequency Spectra); Mininmum Variance Frequency Spectra; Eigen Analysis Frequency Spectra | Eigen Analysis Frequency Estimation; Autoregressive Moving-Average Frequency Spectra (ARMA); Moving Average Frequency Spectra (MA); Autoregressive Frequency Spectra (AR); Autoregressive Frequency Spectrum Order Exploring; Singular Value Decomposition; Windowed Magnitude Variability Estimation and Visualization {etc.}. [Adamovich's Catalogue Content]. With full text of articles: Correction of the recording artifacts and detection of the functional deviations in ECG by means of syndrome decoding with an automatic burst error correction of the cyclic codes using periodograms for determination of code component spectral range (Parts I and II).