Books in Shelfclass 9.C, Biosignal processing, EEG:

Number of books: 23

Shelfclass Sortkey Title
9.C ANTONS, JAN-NIKLAS Neural Correlates of Quality Perception for Complex Speech Signals
9.C ASTOLFI, LAURA Estimation of Cortical Connectivity in Humans: Advanced Signal Processing Techniques
9.C BIJSTERBOSCH, JANINE Introduction to Resting State fMRI Functional Connectivity
9.C BIKSHALU, KALAGADDA Power Line Interference Cancellation of ECG Signals Using EMD Filter
9.C BUZSÁKI, GYÖRGY Rhythms of the Brain
9.C COHEN, MIKE X. Analyzing Neural Time Series Data: Theory and Practice
9.C CONG, FENGYU Advanced Signal Processing on Brain Event-Related Potentials: Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously
9.C DERDIKMAN, DORI Space, Time and Memory in the Hippocampal Formation
9.C DURKA, PIOTR Matching Pursuit and Unification in EEG Analysis
9.C FELTEN, DAVID L. Netter’s Atlas of Neuroscience
9.C GUGER, CHRISTOPH Brain-Computer Interface Research: A State-of-the-Art Summary 11
9.C GUZMÁN, ALINA SANTILLÁN Digital Enhancement of EEG/MEG Signals
9.C JENKINSON, MARK Introduction to Neuroimaging Analysis
9.C LI, XIAOLI Signal Processing in Neuroscience
9.C MITRA, PARTHA P. Observed Brain Dynamics
9.C NAM, CHANG S. Brain-Computer Interfaces Handbook
9.C NUNEZ, PAUL L. Electric Fields of the Brain: The Neurophysics of EEG
9.C SANEI, SAIED EEG Signal Processing
9.C SIULY, SIULY EEG Signal Analysis and Classification
9.C SIVAPPAGARI, CHANDRA MOHAN REDDY Techniques To Remove Power Line Interference From ECG Signal using Adaptive Filter Algorithms
9.C STERRATT, DAVID Principles of Computational Modelling in Neuroscience
9.C WILLIAMS, JANETT EEG Signals and New Independent Component Analysis Techniques
9.C ZHANG, XIANG Deep Learning for EEG-Based Brain-Computer Interfaces: Representations, Algorithms and Applications