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portada Multimodal signal processing techniques for chip-based telemetric ECG
Type
Physical Book
Language
English
Pages
356
Format
Paperback
Dimensions
22.9x15.2x2 cm
Weight
0.52 kg.
ISBN13
9786202310444

Multimodal signal processing techniques for chip-based telemetric ECG

Gradow, Oleg (Author) · Scholars' Press · Paperback

Multimodal signal processing techniques for chip-based telemetric ECG - Gradow, Oleg

New Book Imported to Taiwan
Delivery: 15 Oct - 23 Oct Shipping: 14 to 15 business days.
NT$ 3,778
NT$ 3,778

Synopsis "Multimodal signal processing techniques for chip-based telemetric ECG"

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).

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