Waveform Design

Waveform design focuses on optimizing the shape and characteristics of signals for improved performance in various applications. Current research emphasizes efficient algorithms, including deep neural networks and evolutionary algorithms, to design waveforms tailored to specific needs, such as minimizing error in over-the-air computing or maximizing energy efficiency in cochlear implants. This field leverages machine learning for surrogate modeling and knowledge graphs for intelligent waveform recommendation, aiming to accelerate the design process and improve performance beyond traditional methods. These advancements have significant implications for improving communication systems, biomedical devices, and other technologies relying on optimized signal transmission.