학술논문

A new multidimensional fast convolution algorithm
Document Type
Periodical
Source
IEEE Transactions on Signal Processing IEEE Trans. Signal Process. Signal Processing, IEEE Transactions on. 44(11):2853-2864 Nov, 1996
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Multidimensional systems
Convolution
Lattices
Kernel
Signal processing algorithms
Computational efficiency
Algorithm design and analysis
Computational complexity
Pressing
Language
ISSN
1053-587X
1941-0476
Abstract
The article introduces a new fast convolution-type technique for computing the multidimensional periodic convolutions of signals defined on generic lattices. The method presented does not evaluate multidimensional periodic convolutions via multidimensional FFTs but with an original algorithm. The major advantages of this technique are that it is more efficient than the well-known FFT-based fast convolution method and that its efficiency increases with the signal's dimensionality. One striking indication of its computational efficiency is that the number of operations per output point required by this method with nonseparable kernels of assigned dimensions is always smaller than the number of operations required by classical fast convolution algorithms with separable kernels of identical dimensions.