B-spline tools

Basic toolbox for polynomial B-splines on a uniform grid. OO overloading of common operators.

B-splines is a natural signal representation for continous signals, where
many continous-domain operations can be carried out exactly once the
B-spline approximation has been done.

The B-spline 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 B-spline 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 B-splines, and an object-oriented wrapper which
keeps track of the properties of a spline signal and overload common
operators.

The representation is dimensionality-independent, and much of the code is
vectorized.

Units tests are included, these require the MATLAB xunit toolbox.

[1] M. Unser, A. Aldroubi, M. Eden, "B-Spline Signal Processing: Part
I-Theory", IEEE Transactions on Signal Processing, vol. 41, no. 2, pp.
821-833, February 1993

[2] M. Unser, A. Aldroubi, M. Eden, "B-Spline Signal Processing: Part
II-Efficient Design and Applications", IEEE Transactions on Signal
Processing, vol. 41, no. 2, pp. 834-848, February 1993

[3] M.Unser, "Splines: A Perfect Fit for Signal and Image Processing",
IEEE Signal Processing Magazine, vol. 16, no. 6, pp. 22-38, 1999