Current Trends in Signal Processing

Current Trends in Signal Processing Current Trends in Signal Processing is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental research papers on areas of Signal Processing. The journal emphasizes original research articles that explore theoretical advances, innovative applications, and interdisciplinary approaches in signal processing technologies.

• Control System Signal: Traffic lights, control systems, MIMO control systems, signal control, optimization, formulation, Digital Signal Processors, Microprocessors, adaptive control strategies, reinforcement learning for signal control, cyber-physical system signal management.
• Transmission Signals: Transmission line, system-on-a-chip, termination, microstrip, Characteristic Impedance, Coaxial Cable, General Wave Equation, Output Voltage, Cosine Function, Direct Transmission, signal processing in satellite communications, underwater acoustic transmission, UAV communication systems.
• Digital Signals: Digital communications, Digital Signal Processing, Analog Signal, Frequency Resolution, Characteristic Root, filter design, fast Fourier transform (FFT), machine learning for signal classification, deep learning-based signal enhancement, generative models for signal synthesis.
• Electrical Signaling: Cucurbita Pepo, Phloem Parenchyma, Chara Corallina, Plant electrical signals, Plant electrophysiological phenotype, long-distance signaling, electrical signaling in plant stress responses, bioelectrical monitoring in smart agriculture.
• Telecommunication Transmission Signals: Ancient systems of telecommunication, transmission of signals, Radio network, Wireless networks, 5G mobility, IoT, cross-layer optimization in 6G networks, IoT-based smart environment monitoring.
• Time-Varying Measurement Values: Wave measurement, LiDAR, Free-surface elevation, Wave transformation, Wave energy, Levels of Data Measurement, World Wide Web, Magnitude, real-time environmental signal analytics, time-series analysis in atmospheric and oceanographic studies.
• Sensor Data – Multiple: Sensor systems, smart sensor systems, sensor arrays, sensor model analysis, Sensor data processing, Sensor interface electronics, microelectromechanical (MEMS) sensors, data processing, data analysis, data fusion, wearable sensor networks, biomedical sensor data analysis.
• Optical Signal Processing: Semiconductor optical amplifier, wavelength conversion, Pump Wave, Integrated photonics, Optoelectronics, Optical fiber and device, Optical computing, fiber optic communications, nonlinear fiber optics, quantum optics for secure communications, optical signal processing for quantum networks.
• Multimedia Signal Processing: Multimedia big data analytics, digital data protection, digital image forensics, IoT-based multimedia systems, Interactive Multimedia, DOM, Bio-Inspired Multimedia Content-based retrieval, detection of deepfakes, AI-driven multimedia signal reconstruction.
• Applied Mathematics and Signaling: Mathematical models, Artificial neural networks, Digital Circuits, combinatorial optimization, signal processing, approximation algorithms, data structures, directed graphs, approximation methods in quantum signal processing, neural symbolic computation for signal interpretation.
• Emerging Technologies in Signal Processing: Quantum signal processing methods, neuromorphic signal processing, real-time signal processing in digital twins, cyber-physical systems, optical computing integration with AI systems.
• Signal Processing in Healthcare and Life Sciences: Biomedical signal processing (EEG, ECG, EMG), wearable health monitoring systems, bioinformatics applications, cellular-level electrical signaling in neuroscience and cardiology.
• Security and Signal Integrity: Signal processing for cybersecurity, encrypted communication systems, intrusion detection in networks, quantum key distribution (QKD), detection and mitigation of manipulated multimedia signals.