Ferenc Plesznik’s research while affiliated with Budapest University of Technology and Economics and other places

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Publications (1)


Fig. 2. A single mSDFT branch for the calculation of the k th frequency bin First, it transforms the k th frequency bin to DC (k = 0) by a complex multiplication with the sequence W −kn N , than the calculations of Eq. (2) is applied for k = 0. Finally, it transforms the result back by up-conversion with a multiplication of the sequence W kn N. With this described technique the resonators became stable integrators performing simple averaging. Via down-conversion the mSDFT calculates the DFT coefficients, recursively as:
Observer-Based Recursive Sliding Discrete Fourier Transform [Tips & Tricks]
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November 2018

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809 Reads

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21 Citations

IEEE Signal Processing Magazine

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Ferenc Plesznik

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Simon Trumpf

In the field of digital signal analysis and processing, the ubiquitous domain transformation is the discrete Fourier transform (DFT), which converts the signal of interest within a limited time window from discrete time to the discrete frequency domain. The active use in real-time or quasi-real-time applications has been made possible by a family of fast implementations of the DFT, called fast Fourier transform (FFT) algorithms.

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Citations (1)


... This idea was first elaborated by Hostetter [3] and then by Péceli [4]. Since then, the field of the recursive discrete Fourier-transform has been well established [5,6]. However, the resolution of the time-frequency plane cannot be adjusted with the granularity dictated by real-world applications. ...

Reference:

Observer-based Implementation of Discrete Gabor Transform
Observer-Based Recursive Sliding Discrete Fourier Transform [Tips & Tricks]

IEEE Signal Processing Magazine