Traitement du signal, audio et télécommunications

Classify heartbeat electrocardiogram data using deep learning and signal processing.

Segment human electrocardiogram signals using time-frequency analysis and deep learning.

Use a conditional generative adversarial network to produce synthetic data for model training.

Design an autoencoder neural network to perform anomaly detection for machine sounds using unsupervised learning.

Classify heartbeat electrocardiogram data using deep learning and the continuous wavelet transform.

Model an end-to-end orthogonal frequency division modulation (OFDM) communications system with an autoencoder to reliably transmit information bits over a wireless channel.

Classify ultra-wideband impulse radar signal data using a MISO convolutional neural network.

Use a learning-based tool to detect abnormal points or segments in time-series data.