bokomslag Multimodal signal processing techniques for chip-based telemetric ECG
Kropp & själ

Multimodal signal processing techniques for chip-based telemetric ECG

Oleg Gradow

Pocket

1989:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-11 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 356 sidor
  • 2019
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).
  • Författare: Oleg Gradow
  • Format: Pocket/Paperback
  • ISBN: 9786202310444
  • Språk: Engelska
  • Antal sidor: 356
  • Utgivningsdatum: 2019-05-16
  • Förlag: Scholars' Press