Theory and Applications in Digital Signal Processing, Volume II

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".

Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 1498

Special Issue Editor

Special Issue Information

Dear Colleagues,

This Special Issue (SI) encourages experts to present research achievements pertaining to new theories and methods of signal processing. Digital signal processing (DSP) is the use of digital processing, e.g., by using computers or more specialized digital signal processors, in order to perform a wide variety of signal processing operations. The application of digital computation to signal processing allows for many advantages over analog processing in many applications, such as error detection and correction in transmission, as well as data compression. However, most challenges that arise from digital signal processing still need to be researched regardless of their application because many research questions remain. Many limitations exist in various application environments, and the latest research to solve these problems is being studied by many researchers. We look forward to the latest research findings that suggest theories and practical solutions for various application based on digital signal processing (DSP).
Authors are encouraged to submit contributions in any of the following or related areas for DSP:

  • Information theory based on DSP;
  • Algorithms based on DSP;
  • Real-time computing based on DSP;
  • Applications based on DSP;
  • Image and video processing;
  • Display technology based on DSP;
  • Machine learning based on DSP;
  • Data hiding and watermarking;
  • Pattern recognition;
  • Learning mechanism.

Prof. Dr. Cheonshik Kim
Guest Editor

Manuscript Submission Information

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Keywords

  • information theory based on DSP
  • algorithms based on DSP
  • real-time computing based on DSP
  • applications based on DSP
  • image and video processing
  • display technology based on DSP
  • machine learning based on DSP
  • data hiding and watermarking
  • pattern recognition
  • learning mechanism

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Published Papers (1 paper)

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Research

20 pages, 3404 KiB  
Article
Parameter Estimation of Power System Oscillation Signals under Power Swing Based on Clarke–Discrete Fourier Transform
by Jian Song, Xuansheng Shan, Junhao Zhang and He Wen
Electronics 2024, 13(2), 297; https://doi.org/10.3390/electronics13020297 - 9 Jan 2024
Viewed by 1023
Abstract
Accurate knowledge of oscillation parameters (i.e., frequency, amplitude, phase, and damping factor) is crucial for control strategies of power systems under power swing. This paper presents a method for the parameter estimation of power system oscillation signals under power swing based on Clarke–DFT. [...] Read more.
Accurate knowledge of oscillation parameters (i.e., frequency, amplitude, phase, and damping factor) is crucial for control strategies of power systems under power swing. This paper presents a method for the parameter estimation of power system oscillation signals under power swing based on Clarke–DFT. The proposed method provides accurate parameter estimation of damped sinusoidal signals for both balanced and unbalanced systems, which performs well even in the presence of harmonics. In the meantime, the negative frequency components in the spectra of the damped sinusoidal signals, which are caused by system imbalance, are calculated accurately using complex-valued interpolated DFT. To verify the performance of the proposed method, simulations are performed under balanced and unbalanced conditions. The results of the simulations confirm the effectiveness of the proposed method either in unbalanced or harmonic conditions. Full article
(This article belongs to the Special Issue Theory and Applications in Digital Signal Processing, Volume II)
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