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Title: On-line approach for fast convolution over sensor networks
Authors: Navakauskas, Dalius
Pupeikis, Rimantas
Keywords: system
Issue Date: 2018
Publisher: UIKTEN - Association for Information Communication Technology Education and Science
Citation: Navakauskas, D.; Pupeikis, R. 2018. On-line approach for fast convolution over sensor networks, TEM Journal - Technology, Education, Management, Informatics 7(2): 243–249
Series/Report no.: 7;2
Abstract: It is assumed that at some time moment, in wireless sensor networks the new set of current samples of input and system impulse response enter a digital memory replacing the previous samples. It is urgent for each new sample or for a small part of new samples to update a convolution as well. Therefore, a recursive fast convolution algorithm is proposed here to solve a linear filtering problem for a nonstationary system. The calculation operations are reduced because most columns of Fourier code matrices and respective rows of the right-hand side vectors were deleted for equal previous and current samples. An example with the ordinary and modified 8-point Fourier code matrices is presented for a nonstationary linear system. The amounts of operations, necessary for recursive and fast Fourier transform algorithms, are calculated. Results are discussed, and the conclusion is given.
ISSN: 2217-8309
Appears in Collections:Moksliniai straipsniai / Research articles

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