Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
An efficient algorithm for the 2-D discrete cosine transform
Signal Processing
Signal Processing with Lapped Transforms
Signal Processing with Lapped Transforms
Adaptive Block-Size Transform Coding For Image Compression
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
A polynomial-transform based computation of the 2-D DCT with minimum multiplicative complexity
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Fast Algorithms for the 2-D Discrete Cosine Transform
IEEE Transactions on Computers
A fast algorithm for computing multidimensional DCT on certain small sizes
IEEE Transactions on Signal Processing
Fast IMDCT and MDCT algorithms - a matrix approach
IEEE Transactions on Signal Processing
Restructured recursive DCT and DST algorithms
IEEE Transactions on Signal Processing
Mixed-radix discrete cosine transform
IEEE Transactions on Signal Processing
On the computation of two-dimensional DCT
IEEE Transactions on Signal Processing
Two-dimensional DCT/DST universal computational structure for2m×2n block sizes
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A fast 4×4 DCT algorithm for the recursive 2-D DCT
IEEE Transactions on Signal Processing
One- and two-dimensional constant geometry fast cosine transformalgorithms and architectures
IEEE Transactions on Signal Processing
Constant geometry algorithm for discrete cosine transform
IEEE Transactions on Signal Processing
DCT algorithms for composite sequence lengths
IEEE Transactions on Signal Processing
Fast algorithm for computing discrete cosine transform
IEEE Transactions on Signal Processing
A new two-dimensional fast cosine transform algorithm
IEEE Transactions on Signal Processing
New polynomial transform algorithm for multidimensional DCT
IEEE Transactions on Signal Processing
Shifted Fourier transform-based tensor algorithms for the 2-D DCT
IEEE Transactions on Signal Processing
A refined fast 2-D discrete cosine transform algorithm
IEEE Transactions on Signal Processing
On the multiplicative complexity of discrete cosine transforms
IEEE Transactions on Information Theory
Comments on “Fast algorithms and implementation of 2-D discrete cosine transform”
IEEE Transactions on Circuits and Systems for Video Technology
Mixed-radix algorithm for the computation of forward and inverse MDCTs
IEEE Transactions on Circuits and Systems Part I: Regular Papers
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A fast algorithm for computing the two-dimensional (2-D) forward and inverse modified discrete cosine transform (MDCT and IMDCT) is proposed. The algorithm converts the 2-D MDCT and IMDCT with block size MxN into four 2-D discrete cosine transforms (DCTs) with block size (M/4)x(N/4). It is based on an algorithm recently presented by Cho et al. [An optimized algorithm for computing the modified discrete cosine transform and its inverse transform, in: Proceedings of the IEEE TENCON, vol. A, 21-24 November 2004, pp. 626-628] for the efficient calculation of one-dimensional MDCT and IMDCT. Comparison of the computational complexity with the traditional row-column method shows that the proposed algorithm reduces significantly the number of arithmetic operations.