c=dcti(f); c=dcti(f,L); c=dcti(f,[],dim); c=dcti(f,L,dim);
dcti(f) computes the discrete cosine transform of type I of the input signal f. If f is a matrix then the transformation is applied to each column. For N-D arrays, the transformation is applied to the first non-singleton dimension.
dcti(f,L) zero-pads or truncates f to length L before doing the transformation.
dcti(f,[],dim) or dcti(f,L,dim) applies the transformation along dimension dim.
The transform is real (output is real if input is real) and it is orthonormal.
This transform is its own inverse.
Let f be a signal of length L, let \(c=dcti(f)\) and define the vector w of length L by
Then
The implementation of this functions uses a simple algorithm that require an FFT of length 2L-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 DCT transforms.
The following figures show the first 4 basis functions of the DCTI of length 20:
% The dcti is its own adjoint. F=dcti(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.