1986
DOI: 10.1109/tcs.1986.1085844
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A common structure for recursive discrete transforms

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Cited by 91 publications
(49 citation statements)
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“…The R-DFT realizes the observer-based structure [3], which calculates the DFT values of the incoming signal for every single new input. The observer theory is based on the predictioncorrection scheme, where the observer is a system, which can copy the state variables of the observed system.…”
Section: B R-dftmentioning
confidence: 99%
See 1 more Smart Citation
“…The R-DFT realizes the observer-based structure [3], which calculates the DFT values of the incoming signal for every single new input. The observer theory is based on the predictioncorrection scheme, where the observer is a system, which can copy the state variables of the observed system.…”
Section: B R-dftmentioning
confidence: 99%
“…The Recursive DFT (R-DFT) provides an alternative computation method to acquire the DFT components of a signal, which applies the observer-based structure [3] and recalculates the spectral values for every new incoming sample in a sliding manner. This paper presents a possible implementation based on the x86, Streaming SIMD Extension (SSE) and 16-bit architectures and compares the results with an optimized FFT.…”
Section: Introductionmentioning
confidence: 99%
“…Péceli provides an alternative solution for spectrum calculation according to Hostetter's proposal [3,4], the R-DFT, which is based on the observer theory. This model supposes that the measured signal (x [k]) is a linear combination of the elements of a basis system, as Fig.…”
Section: Theory 31 Recursive Discrete Fourier Transformmentioning
confidence: 99%
“…The N points R-DFT calculates the spectrum point by point, where N is the periodicity of the received data because of the convergence properties [4]. The procedure of Moose in Eq.…”
Section: Estimation By R-dftmentioning
confidence: 99%
“…In order to detect these frequency components, we implemented a structure based on the resonator-based spectral observer (Fourier analyzer, FA) proposed by Péceli [27], complemented by a frequency adaptation method based on that first suggested by Nagy [28]. As demonstrated in Fig.…”
Section: A Non-invasive Approachmentioning
confidence: 99%