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

Topics

• 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