Biomedical Signal Processing Volume 2: Compression and Automatic Recognition Routledge Revivals Series
Auteur : Cohen Arnon
First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.
1. Wavelet Detection 2. Point Processes 3. Signal Classification and Recognition 4. Syntactic Methods
Arnon Cohen, Ph.D., is an Associate Professor of Electrical and Bio-Medical Engineering at the Ben-Gurion University, Beer-Sheva, Israel, and the head of the Center for Bio-Medical Engineering.
Date de parution : 02-2021
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 66,20 €
Ajouter au panierDate de parution : 08-2019
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 208,65 €
Ajouter au panierThèmes de Biomedical Signal Processing :
Mots-clés :
ECG Signal; point processes; Biomedical Signal Processing; biomedical problems; Nondeterministic Finite State Automaton; signal processing system; ECG Analysis; wavelet detection; Cumulative Distribution Function; syntactic methods; Deterministic Finite State Automaton; Multivariate Point Process; Context Free Grammar; Neural Spike Trains; Finite State Grammar; Normal ECG; Conditional Intensity Function; Spike Train; Tracking Coefficient; State Transition Diagram; Point Process; PSD Function; Stochastic Grammar; QRS Complex; Nonhomogeneous Poisson Process; Context Free Languages; Motor Unit Action Potential Train; ECG Waveform; Poisson Process; Semi-Markov Process