TInterpolationMethod Type

Summary

Defines a set of frequency spectrum peak interpolators.

Declaration

TInterpolationMethod = (imNone, imNumeric, imQuadratic, imBarycentric,
                           imQuinnFirst, imQuinnSecond, imJain);

Value	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.
imQuadratic,imBarycentric,imJain:	require rectangular window, and no zero padding, but require only amplitude spectrum and are very fast.
imQuinnFirst,imQuinnSecond:	require rectangular window and no zero padding. Require complex frequency spectrum and are very fast. The second Quinn estimator is the most accurate and also fairly fast, if your frequency spectrum is not based on zero padded data and you can afford to use the rectangular window.

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.