Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Multimodal signal processing techniques for chip-based telemetric ECG
Details
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).
Autorentext
Gradow, Oleg
Oleg Gradow, senior researcher, INEPCP RAS.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Editor Oleg Gradow
- Titel Multimodal signal processing techniques for chip-based telemetric ECG
- Veröffentlichung 16.05.2019
- ISBN 6202310448
- Format Kartonierter Einband
- EAN 9786202310444
- Jahr 2019
- Größe H220mm x B150mm x T22mm
- Untertitel with illustrated atlas / catalogue of multialgorithmic digital signal processing results in different metrological cases
- Gewicht 548g
- Genre Medizin
- Anzahl Seiten 356
- Herausgeber Scholars' Press
- GTIN 09786202310444