Cluster of Excellence PhoenixD, Leibniz University Hannover, 30167 Hannover, Germany Institute of Photonics, Leibniz University Hannover, 30167 Hannover, Germany Cluster of Excellence PhoenixD, ...

The inverse transform can create a time-domain waveform where no waveform has been before. In part 2 of this series, we used the discrete Fourier transform to convert a waveform from the time domain ...

Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...

Researchers have developed a new method to better understand and mitigate quantum noise, which disrupts the operation of qubits. This innovation could enhance the reliability of quantum computing and ...

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A bare-bones implementation of the Fast Fourier Transform helps illuminate how to extract frequency information from input data samples. In Part 1 of this series, we reviewed the discrete Fourier ...

The sampling process of a signal is of an ideal type as it extends from −∞ to +∞ on the time axis, hence the infinite number of instants t n. This destroys the possibility of using an electronic ...

Abstract: The paper presents implementation of speed control strategies for Induction motor using field oriented control and adaptive notch filters. The adaptive notch filters used for developing ...