Contributions:DiffFilter: Difference between revisions
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===UnwrapDiff=== | ===UnwrapDiff=== | ||
Base at which to unwrap numerical deltas. 2*pi ( = 6.283185307179586232) | Base at which to unwrap numerical deltas while computing the first derivative. 2*pi ( = 6.283185307179586232) would be the base appropriate for unwrapping phase differences. For example, HilbertFilter with OutputSignal=2 outputs instantaneous phase: when unwrapped at 2*pi, the first derivative of this yields 2*pi * instantaneous frequency. | ||
===DivideByDeltaTime=== | ===DivideByDeltaTime=== | ||
Latest revision as of 16:28, 28 March 2012
Synopsis
Take the derivative of a continuous time-series input wrt. time
Location
http://www.bci2000.org/svn/trunk/src/contrib/SignalProcessing/HilbertSignalProcessing/DiffFilter.cpp
Versioning
Authors
Jeremy Hill
Parameters
DiffOrder
0 = disable; 1 = first derivative; 2 = second derivative; etc
UnwrapDiff
Base at which to unwrap numerical deltas while computing the first derivative. 2*pi ( = 6.283185307179586232) would be the base appropriate for unwrapping phase differences. For example, HilbertFilter with OutputSignal=2 outputs instantaneous phase: when unwrapped at 2*pi, the first derivative of this yields 2*pi * instantaneous frequency.
DivideByDeltaTime
Select whether to return raw sample-to-sample numerical deltas, or to divide these by the time delta in seconds to approximate a true derivative.
States
None.
See also
User Reference:Filters, Contributions:SignalProcessing, Contributions:HilbertSignalProcessing