Multimodal signal processing techniques for chip-based telemetric ECG

Multimodal signal processing techniques for chip-based telemetric ECG

with illustrated atlas / catalogue of multialgorithmic digital signal processing results in different metrological cases

Scholar's Press ( 2019-05-16 )

€ 104,90

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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).

Book Details:

ISBN-13:

978-620-2-31044-4

ISBN-10:

6202310448

EAN:

9786202310444

Book language:

English

Edited by:

Oleg Gradow

Number of pages:

356

Published on:

2019-05-16

Category:

Medicine