Recent Trends in Time-Frequency Signal Analysis: Sustainable Applications and Systems
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (13 September 2023) | Viewed by 616
Special Issue Editors
Interests: signal processing; time- and space/spatial-frequency signal analysis; design and implementation of signal processing systems; hardware/software co-design; computer organization and design; design with microcontrollers
Interests: digital signal processing; time-/space/spatial-frequency analysis; implementation of signal processing systems; hardware/software co-design; machine learning algorithms
Special Issue Information
Dear Colleagues,
Time-frequency (TF) analysis treats one-dimensional nonstationary signals, their processing and analysis, whereas space/spatial-frequency (S/SF) analysis is focused on two-dimensional nonstationary signals. TF-analysis-based and S/SF-analysis-based approaches are widely adopted because they provide accurate and robust solutions in the processing of nonstationary signals encountered in numerous fields, including radar, speech, seismology, communications, medicine, biomedicine, optics, civil engineering, power systems, high-rate dynamic systems etc. Sustainable TF/S/SF applications imply fast, accurate and robust solutions, while preserving runtime, memory usage, and energy consumption at low levels. Further development of advanced methods and algorithms of TF/S/SF analysis can help in improving the existing applications and facilitating the development of new sustainable applications in practice.
The execution time of TF-analysis- and S/SF-analysis-based solutions is critical, since they entail repeated computations in a great number of TF/S/SF points. This computation overload limits the applicability of those solutions in practice. Hardware implementations can significantly help in overcoming this limitation. Therefore, the development of sustainable (i.e., reliable, precise, low power and time consumption, low complexity, and cost-effective) systems that implement TF/S/SF-analysis-based solutions on proper hardware platforms, in as green programming languages as possible (e.g., C, C++, Java, HDLs), is of paramount importance.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- New TF/S/SF methods and algorithms;
- Noise influence analysis;
- Time-varying filtering/estimation;
- Space-varying filtering/estimation/image reconstruction;
- Instantaneous frequency and/or chirp rate estimation;
- Local frequency estimation;
- Robust spectral and TF analysis;
- Sustainable applications;
- Applications in communications;
- Applications in speech processing;
- Applications in radar signal processing;
- Applications in civil engineering;
- Applications in power systems;
- TF analysis in multimedia applications;
- Sustainable application in biomedicine and bio-imaging;
- Hardware design and implementation of TF/S/SF-analysis-based sustainable systems.
We look forward to receiving your contributions.
Prof. Dr. Veselin N. Ivanović
Dr. Nevena Radović
Prof. Dr. Slobodan Djukanović
Guest Editors
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Keywords
- estimation
- instantaneous frequency
- method
- nonstationary signal
- space/spatial-frequency analysis
- sustainable application
- system
- time-frequency analysis
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