Phase Encode

Phase encoding is a technique used to represent continuous signals or data as sequences of pulses, optimizing data processing efficiency and speed, particularly in applications like neuromorphic computing and magnetic resonance imaging (MRI). Current research focuses on improving phase encoding methods through novel neural network architectures, including transformers and recurrent neural networks (RNNs) like LSTMs, to enhance signal reconstruction accuracy and reduce computational demands. These advancements are significantly impacting fields such as biomedical imaging, where faster and higher-resolution MRI scans are crucial, and optical sensing, enabling real-time analysis of complex signals from distributed acoustic sensors.