Time–frequency analysis of signals
Analyzing and processing signals, such as sound, images, and scientific measurements, is important for allowing the interpretation of the information they carry. Time–frequency analysis is a common technique for studying signals, but a high-resolution analysis often comes with high computational costs. In this issue, Arts and van den Broek present an open-source framework that enables real-time, accurate, and noise-resilient time–frequency analysis of signals, demonstrating its applicability on real-world applications, such as on brain signals obtained from electroencephalography.
See Arts and van den Broek