CoSiBD

We present CoSiBD (Complex Signal Benchmark Dataset for Super-Resolution), a synthetic dataset of complex temporal signals tailored for training and evaluating AI models, especially deep learning systems, in tasks like temporal superresolution and signal processing. CoSiBD features diverse signals with non-uniform frequency modulations, capturing both gradual shifts and sudden high-frequency events to mimic real-world dynamics. It includes signals at multiple resolutions with varying noise levels, allowing robust testing of model performance under realistic conditions, particularly for super-resolution tasks.