c=dsti(f); c=dsti(f,L); c=dsti(f,[],dim); c=dsti(f,L,dim);
dsti(f) computes the discrete sine transform of type I of the input signal f. If f is multi-dimensional, the transformation is applied along the first non-singleton dimension.
dsti(f,L) zero-pads or truncates f to length L before doing the transformation.
dsti(f,[],dim) or dsti(f,L,dim) applies the transformation along dimension dim.
The transform is real (output is real if input is real) and orthonormal.
This transform is its own inverse.
Let f be a signal of length L and let c=dsti(f). Then
The implementation of this functions uses a simple algorithm that requires an FFT of length \(2N+2\), which might potentially be the product of a large prime number. This may cause the function to sometimes execute slowly. If guaranteed high speed is a concern, please consider using one of the other DST transforms.
The following figures show the first 4 basis functions of the DSTI of length 20:
% The dsti is its own adjoint. F=dsti(eye(20)); for ii=1:4 subplot(4,1,ii); stem(F(:,ii)); end;
K. Rao and P. Yip. Discrete Cosine Transform, Algorithms, Advantages, Applications. Academic Press, 1990.
M. V. Wickerhauser. Adapted wavelet analysis from theory to software. Wellesley-Cambridge Press, Wellesley, MA, 1994.