Latest Research in Signal Processing
58 research papers · 2026 median publication year
Top Research Topics in Signal Processing
- Signal Processing — 15 papers
- Advanced SAR Imaging Techniques — 11 papers
- Direction-of-Arrival Estimation Techniques — 4 papers
- GNSS positioning and interference — 3 papers
- Underwater Vehicles and Communication Systems — 3 papers
- Underwater Acoustics Research — 3 papers
- Robotics — 3 papers
- Numerical Analysis — 2 papers
- Soil Moisture and Remote Sensing — 1 papers
- Advanced Adaptive Filtering Techniques — 1 papers
Highest-Cited Papers
- Joint Self-Calibration of Receiver Geometry, Timing, and Target Positions for Multistatic Radar Autofocus
- Scalable multipath detection from standard GNSS correlators using multifrequency diversity
- Aliasing Suppression in Synthetic Aperture Interferometric Radiometers Using Subarray-Based Antenna Architecture
- A New Variable Step-size LMS Algorithm and Its Analysis
- Radar Detection in the CBRS Band: Techniques, Challenges, and Future Directions
- A Real-Time Subband SAR Imaging Algorithm Based on an Approximate Echo Signal Model
- Robust Topological Association Method Based on Graph Theory Matching
- Tensor-Based Joint Pitch and DOA Estimation
- Improved Frequency Tracking with Adaptive Moments for Narrowband Interference Mitigation in GNSS
- A novel sampling method for reconstruction of a moving point acoustic source in $\mathbb{R}^3$
- A Triple-Layer HFM–LFM–CAZAC Preamble Framework for Underwater Acoustic Integrated Sensing and Communication
- Free-Inertial Displacement Envelope for Authenticated GNSS Between Authentication Marks: An Illustrative Fixed-Bias Model
- A Review of GNSS Spoofing Detection Based on Multi-Source Fusion
- Spectral MUSIC for curve-constrained source localization
- Sensor Placement Strategies for Target Localization via 3-D TOA Measurements in Underwater Acoustic Sensor Networks
- Near-Field 2D Radar Cross-Section Reconstruction Based on Modified TLS-ESPRIT Algorithm
- Radar-Based Multi-Class Recognition of Pedestrians, Cyclists, and Vehicles Using Random Forest and LSTM Under Clutter
- Radar-Based Multi-Class Recognition of Pedestrians, Cyclists, and Vehicles Using Random Forest and LSTM Under Clutter
- Adaptive Ground‐Roll Suppression Based on Adaptive Chirp Mode Decomposition in the Fx Domain
- Conceptual and Signal Processing Principles of Spread-Spectrum Color Doppler Ultrasound