6th International Workshop on the Theory of Computational Sensing and its applications to Radar, Multimodal Sensing, and Imaging (CoSeRa 2024)

The 6th International Workshop on the Theory of Computational Sensing and its applications to Radar, Multimodal Sensing, and Imaging (CoSeRa 2024) covers topics such as:

• Compressed sensing and sparse modeling
• Fundamentals, mathematical aspects, concepts and algorithms of computational sensing including topics such as
• Low-rank + sparse models
• Low-rank models and low-rank matrix recovery
• Sampling theory and its role for sensing designs
• Matrix and tensor decompositions
• Machine-learning based methods in unified sensing pipelines
• Theory of high-dynamic range sensing
• Nonlinearities in sensing designs (quantization, saturation, …)
• Dictionary learning
• Radar systems (SAR and ISAR imaging, MIMO, waveform design, …)
• Applications of computational sensing to:
• THz imaging and material analysis,
• Imaging radar (SAR, ISAR),
• Ultrafast imaging
• Digital optics, time-resolved imaging (ToF depth imaging, ultrafast photography), hyperspectral imaging, microscopy
• X-ray crystallography,
• Systems for medical diagnostics (CT, MRT, X-ray, ultrasonography)
• Radio astronomy
• Acoustic systems, microphone arrays, SONAR systems,
• System design and hardware for computational sensing
• Photoacoustic imaging
• Sampling strategies, sparse array design
• Analog to information converters
• Application of matrix decomposition and tensor-based techniques for sensor systems
• A/D-converter design
• Separation of foreground and background, change detection
• Blind deconvolution, blind calibration
• Estimation based on compressed sensing and the CRB
• Quality evaluation
• Off-grid evaluation
• Evaluation of super-resolution
• Detection probabilities