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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
4
|
| pubmed:dateCreated |
1992-7-1
|
| pubmed:abstractText |
A nonlinear system may be characterized by an orthogonal functional power series (FPS) computed from cross correlations between input and output variables. "Is the response changing over the course of the experiment?" is a fundamental question encountered in the analysis of both FPS and evoked potentials (EP's). Regression on closed-form functions of time produces a time-varying FPS or EP. Evaluation of these functions at a specified time point produces a system characterization for that instant.
|
| pubmed:grant | |
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:month |
Apr
|
| pubmed:issn |
0018-9294
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
39
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
420-4
|
| pubmed:dateRevised |
2009-11-11
|
| pubmed:meshHeading |
pubmed-meshheading:1592408-Evoked Potentials,
pubmed-meshheading:1592408-Humans,
pubmed-meshheading:1592408-Mathematics,
pubmed-meshheading:1592408-Models, Neurological,
pubmed-meshheading:1592408-Poisson Distribution,
pubmed-meshheading:1592408-Regression Analysis,
pubmed-meshheading:1592408-Signal Processing, Computer-Assisted,
pubmed-meshheading:1592408-Time Factors
|
| pubmed:year |
1992
|
| pubmed:articleTitle |
Instantaneous characterization of time-varying nonlinear systems.
|
| pubmed:affiliation |
Department of Neurological Surgery, University of Pittsburgh, PA 15213.
|
| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't
|