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SignalAnalysis.TInterpolationMethod Enumeration
SignalAnalysis | Structs, Records, Enums
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Defines a set of frequency spectrum peak interpolators.

Pascal
TInterpolationMethod = (
  imNone,
  imNumeric,
  imQuadratic,
  imBarycentric,
  imQuinnFirst,
  imQuinnSecond,
  imJain
);
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Members 
Description 
imNone 
No frequency interpolation will be performed. 
imNumeric 
Numerical peak interpolation is the most accurate and can be used with any window and any zero padding setting, but it is also the slowest. Absolute accuracy of the numerical interpolator can be increased dramatically by using a Kaiser window with high attenuation factors. 
imQuadratic 
Requires rectangular window, no zero padding, but works with amplitude spectrum only and is fast. Accuracy is not very good. 
imBarycentric 
Requires rectangular window, no zero padding, but works with amplitude spectrum only and is fast. Accuracy is not very good. 
imQuinnFirst 
Works with rectangular window and no zero padding. Requires complex frequency spectrum and is very fast. 
imQuinnSecond 
Works with rectangular window and no zero padding. Requires complex frequency spectrum and is very fast. The second Quinn estimator is very accurate and fast, if your frequency spectrum is not based on zero padded data and you can afford to use the rectangular window. 
imJain 
Requires rectangular window, no zero padding, but works with amplitude spectrum only and is very fast. Accuracy is not very good. 
Description

Defines the method used to interpolate the frequency of a marked peak. Frequency spectrum is computed only at discrete frequencies. If you want to know the actual frequency of the peak that falls between two frequency bins, you have to use peak interpolation. You can also simply increase the number of frequencies at which the frequency spectrum is calculated, by increasing the zero padding. Peak interpolation is more accurate and faster.

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