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Lagrange Interpolation
Lagrange interpolation is a well known, classical technique for
interpolation [194]. It is also called Waring-Lagrange
interpolation, since Waring actually published it 16 years before
Lagrange [318, p. 323]. More generically, the term
polynomial interpolation normally refers to Lagrange interpolation.
In the first-order case, it reduces to linear interpolation.
Given a set of
known samples
,
, the
problem is to find the unique order
polynomial
which
interpolates the samples.K.1The solution can be expressed as a linear combination of elementary
th order polynomials:
where
From the numerator of the above definition, we see that

is an
order

polynomial having zeros at all of the samples except the

th. The denominator is simply the constant which normalizes its
value to

at

. Thus, we have
In other words, the polynomial

is the

th
basis polynomial
for constructing a polynomial interpolation of order

over the

sample points

. It is an order

polynomial having zeros
at all of the samples except the

th, where it is 1. An example of
a set of eight basis functions

for randomly selected
interpolation points

is shown in Fig.
K.1.
Figure K.1:
Example Lagrange basis functions
in the eighth-order case for randomly selected interpolation points
(marked by dotted lines). The unit-amplitude points are marked by
dashed lines.
![\includegraphics[width=\twidth]{eps/lagrangebases}](http://www.dsprelated.com/josimages/pasp/img2826.png) |
Subsections
Previous:
Higher Order Delay Line InterpolationNext:
Relation of Lagrange and Sinc Interpolation
written by Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at
Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See
http://ccrma.stanford.edu/~jos/ for details.