Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Short Vector Code Generation for the Discrete Fourier Transform
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Kronecker products and shuffle algebra
IEEE Transactions on Computers
New fast recursive algorithms for the computation of discretecosine and sine transforms
IEEE Transactions on Signal Processing
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A vector algorithm for computing the two-dimensional Discrete Cosine Transform (2D-VDCT) is presented. The formulation of 2D-VDCT is stated under the framework provided by elements of multilinear algebra. This algebraic framework provides not only a formalism for describing the 2D-VDCT, but it also enables the derivation by pure algebraic manipulations of an algorithm that is well suited to be implemented in SIMD-vector signal processors with a scalable level of parallelism. The 2D-VDCT algorithm can be implemented in a matrix oriented language and a suitable compiler generates code for our family of STA (Synchronous Transfer Architecture) vector architectures with different amounts of SIMD-parallelism. We show in this paper how important speedup factors are achieved by this methodology.