Multimodal signal processing techniques for chip-based telemetric ECG

Oleg Gradow

ISBN 10: 6202310448 / ISBN 13: 9786202310444

Published by Scholars' Press Mai 2019, 2019

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 356 pp. Englisch.

Seller Inventory # 9786202310444

Bibliographic Details

• Title: Multimodal signal processing techniques for chip-based telemetric ECG
• Publisher: Scholars' Press Mai 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 6202310448
• ISBN 13: 9786202310444
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 22D millimeters 220 millimeters width by 150 millimeters height by 22 millimeters depth
• Weight: 548 grams

About this title

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).