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- Innovation_(signal_processing) abstract "In time series analysis (or forecasting) — as conducted in statistics, signal processing, and many other fields — the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on information available prior to time t. If the forecasting method is working correctly successive innovations are uncorrelated with each other, i.e., constitute a white noise time series. Thus it can be said that the innovation time series is obtained from the measurement time series by a process of 'whitening', or removing the predictable component. The use of the term innovation in the sense described here is due to Hendrik Bode and Claude Shannon (1950) in their discussion of the Wiener filter problem, although the notion was already implicit in the work of Kolmogorov.".
- Innovation_(signal_processing) wikiPageID "21957017".
- Innovation_(signal_processing) wikiPageRevisionID "404718231".
- Innovation_(signal_processing) hasPhotoCollection Innovation_(signal_processing).
- Innovation_(signal_processing) subject Category:Signal_processing.
- Innovation_(signal_processing) subject Category:Stochastic_processes.
- Innovation_(signal_processing) type Abstraction100002137.
- Innovation_(signal_processing) type Cognition100023271.
- Innovation_(signal_processing) type Concept105835747.
- Innovation_(signal_processing) type Content105809192.
- Innovation_(signal_processing) type Hypothesis105888929.
- Innovation_(signal_processing) type Idea105833840.
- Innovation_(signal_processing) type Model105890249.
- Innovation_(signal_processing) type PsychologicalFeature100023100.
- Innovation_(signal_processing) type StochasticProcess113561896.
- Innovation_(signal_processing) type StochasticProcesses.
- Innovation_(signal_processing) comment "In time series analysis (or forecasting) — as conducted in statistics, signal processing, and many other fields — the innovation is the difference between the observed value of a variable at time t and the optimal forecast of that value based on information available prior to time t. If the forecasting method is working correctly successive innovations are uncorrelated with each other, i.e., constitute a white noise time series.".
- Innovation_(signal_processing) label "Innovation (signal processing)".
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- Innovation_(signal_processing) sameAs Q6036164.
- Innovation_(signal_processing) sameAs Q6036164.
- Innovation_(signal_processing) sameAs Innovation_(signal_processing).
- Innovation_(signal_processing) wasDerivedFrom Innovation_(signal_processing)?oldid=404718231.
- Innovation_(signal_processing) isPrimaryTopicOf Innovation_(signal_processing).