Advances in Signal Processing: Adaptive/Data-Driven Algorithms and Architectures for Information and Communication Systems
A special issue of Signals (ISSN 2624-6120).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 265
Special Issue Editor
Special Issue Information
Dear colleagues,
Signal processing plays a fundamental role in numerous building blocks of information and communication systems. In addition to offline-optimized classical signal processing approaches, adaptive and data-driven approaches are used more and more frequently. Sine examples of use-cases are in data estimation for communication systems or the compensation of non-linear effects in RF transceivers. Within these fields, the use of machine learning methods has also become popular in recent years. An efficient implementation in devices with limited computational resources especially poses an important research challenge. Contributions are welcome from (but not limited to) the following areas:
- Sparse signal processing algorithms
- Array processing
- Adaptive and iterative signal processing
- Beamforming
- Interference cancellation
- Machine learning for information and communication systems
- Signal processing for compensation of hardware non-idealities
- Robust estimation
- Signal processing algorithms for efficient hardware implementation
- Signal processing for MIMO communication
- Signal processing for radar/sonar
- Statistical signal processing
- Cooperative and consensus-based signal processing in sensor networks
- Signal processing hardware architectures
- Novel applications of adaptive and data-driven algorithms
Dr. Michael Lunglmayr
Guest Editor
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