Description 
Bsplines is a natural signal representation for continous signals, where
many continousdomain operations can be carried out exactly once the
Bspline approximation has been done.
The Bspline estimation procedure in this toolbox using allpole filters
is based on the classic papers by M. Unser and others [1,2,3], it allows
very fast estimation of Bspline coefficients when the sampling grid is
uniform. Evaluation/interpolation is also a linear filter operation.
The toolbox has two layers; a set of functions for the fundamental
operations on polynomial Bsplines, and an objectoriented wrapper which
keeps track of the properties of a spline signal and overload common
operators.
The representation is dimensionalityindependent, and much of the code is
vectorized.
Units tests are included, these require the MATLAB xunit toolbox.
[1] M. Unser, A. Aldroubi, M. Eden, "BSpline Signal Processing: Part
ITheory", IEEE Transactions on Signal Processing, vol. 41, no. 2, pp.
821833, February 1993
[2] M. Unser, A. Aldroubi, M. Eden, "BSpline Signal Processing: Part
IIEfficient Design and Applications", IEEE Transactions on Signal
Processing, vol. 41, no. 2, pp. 834848, February 1993
[3] M.Unser, "Splines: A Perfect Fit for Signal and Image Processing",
IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 2238, 1999
