<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To better develop the electronic information industry and make the electronic logic information processing architecture more widely used in production life. This paper uses the Fourier transform model based on the discrete Fourier transform and fast Fourier transform data simulation, for the electronic logic information architecture of single-signal and dual-signal signal spectrum analysis for simulation analysis. The electronic logic signal, whether it contains whole harmonics, non-harmonics, or attenuated DC components, can be accurately decomposed even when the system frequency deviates from 50 Hz, and the error value is guaranteed to be around 0.0016%. It is also pointed out that the presence of the attenuated DC component does not affect the results. The simulation results show that the design of electronic logic information processing architecture based on Fourier transform is better than other models under the sample data conditions. And the Fourier transform model can effectively guarantee the probability strength of logic information transfer and enhance the reliable line of results, which provides a research direction for the design of electronic logic information processing architecture.</p>
</abstract>

To better develop the electronic information industry and make the electronic logic information processing architecture more widely used in production life. This paper uses the Fourier transform model based on the discrete Fourier transform and fast Fourier transform data simulation, for the electronic logic information architecture of single-signal and dual-signal signal spectrum analysis for simulation analysis. The electronic logic signal, whether it contains whole harmonics, non-harmonics, or attenuated DC components, can be accurately decomposed even when the system frequency deviates from 50 Hz, and the error value is guaranteed to be around 0.0016%. It is also pointed out that the presence of the attenuated DC component does not affect the results. The simulation results show that the design of electronic logic information processing architecture based on Fourier transform is better than other models under the sample data conditions. And the Fourier transform model can effectively guarantee the probability strength of logic information transfer and enhance the reliable line of results, which provides a research direction for the design of electronic logic information processing architecture.

Fourier transform-based electronic logic information processing architecture design

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To better develop the electronic information industry and make the electronic logic information processing architecture more widely used in production life....

Fourier transform-based electronic logic information processing architecture design

Online veröffentlicht: 13. Juni 2023

Seitenbereich: -

Eingereicht: 04. Aug. 2022

Akzeptiert: 17. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00393

Schlüsselwörter
Fourier transform model, Electronic logic information processing, Information acquisition frequency, Signal processing model, Information signal spectrum analysis

© 2023 Xujin Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fourier transform-based electronic logic information processing architecture design

Online veröffentlicht: 13. Juni 2023

Seitenbereich: -

Eingereicht: 04. Aug. 2022

Akzeptiert: 17. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00393

SchlüsselwörterFourier transform model, Electronic logic information processing, Information acquisition frequency, Signal processing model, Information signal spectrum analysis

© 2023 Xujin Zhang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Fourier transform model, Electronic logic information processing, Information acquisition frequency, Signal processing model, Information signal spectrum analysis