Frequency Correlation

Frequency correlation analysis explores the relationships between different frequency components within signals and images, aiming to improve signal processing and image reconstruction techniques. Current research focuses on leveraging frequency correlations through novel deep learning architectures, such as conformers and transformers, and advanced signal processing methods like phase-aligned correlation, to enhance performance in applications like speech enhancement, hyperspectral imaging, and image deraining. These advancements offer improved accuracy and efficiency in various fields, leading to better quality reconstructions and more robust signal processing in challenging conditions.