Amanote Research
Register
Sign In
Multiscale Autoregressive Identification of Neuro-Electrophysiological Systems
doi 10.1109/iembs.2011.6091787
Full Text
Open PDF
Abstract
Available in
full text
Date
August 1, 2011
Authors
T. P. Gilmour
T. Subramanian
Publisher
IEEE
Related search
Identification of Input Nonlinear Control Autoregressive Systems Using Fractional Signal Processing Approach
The Scientific World Journal
Biochemistry
Medicine
Genetics
Molecular Biology
Environmental Science
On Bayesian Identification of Autoregressive Processes
Pakistan Journal of Statistics and Operation Research
Statistics
Probability
Uncertainty
Simulation
Management Science
Modeling
Operations Research
Using a Laboratory Computer for Identification of Nonlinear Behavioral and Electrophysiological Systems
Behavior Research Methods & Instrumentation
Multiscale Physiological Systems
Nanotechnology Perceptions
Materials Science
Engineering
Condensed Matter Physics
Nanotechnology
Nanoscience
Multiscale Storm Identification and Forecast
Atmospheric Research
Atmospheric Science
Multiscale Discrete Simulation of Complex Systems
Discrete Dynamics in Nature and Society
Modeling
Simulation
Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models
Econometrics Journal
Economics
Econometrics
Automatic Identification of Time-Series Models From Long Autoregressive Models
IEEE Transactions on Instrumentation and Measurement
Electronic Engineering
Electrical
Instrumentation
System Identification of Nonlinear Autoregressive Models in Monitoring Dengue Infection
International Journal on Smart Sensing and Intelligent Systems
Control
Systems Engineering
Electrical
Electronic Engineering
