The Hartley transform
Fast fourier transforms: a tutorial review and a state of the art
Signal Processing
Discrete cosine transform: algorithms, advantages, applications
Discrete cosine transform: algorithms, advantages, applications
Self-sorting in-place fast fourier transforms
SIAM Journal on Scientific and Statistical Computing
A comparison of fast inverse discrete cosine transform algorithms
Multimedia Systems - Special issue on video compression
Computing with the Hartley transform
Computers in Physics
An Adaptation of the Fast Fourier Transform for Parallel Processing
Journal of the ACM (JACM)
Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
Division and Square Root: Digit-Recurrence Algorithms and Implementations
Division and Square Root: Digit-Recurrence Algorithms and Implementations
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
High-Radix Logarithm with Selection by Rounding
ASAP '02 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures, and Processors
A Note on Antireflective Boundary Conditions and Fast Deblurring Models
SIAM Journal on Scientific Computing
A DHT-based FFT/IFFT processor for VDSL transceivers
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Efficient VLSI architectures for fast computation of the discreteFourier transform and its inverse
IEEE Transactions on Signal Processing
Improvement of the Discrete Cosine Transform calculation by means of a recursive method
Mathematical and Computer Modelling: An International Journal
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This paper presents a method to improve the calculation of functions which specially demand a great amount of computing resources. The method is based on the choice of a weighted primitive which enables the calculation of function values under the scope of a recursive operation. When tackling the design level, the method shows suitable for developing a processor which achieves a satisfying trade-off between time delay, area costs, and stability. The method is particularly suitable for the mathematical transforms used in signal processing applications. A generic calculation scheme is developed for the discrete fast Fourier transform (DFT) and then applied to other integral transforms such as the discrete Hartley transform (DHT), the discrete cosine transform (DCT), and the discrete sine transform (DST). Some comparisons with other well-known proposals are also provided.