信号处理、音频和无线

使用深度学习和信号处理对心跳心电图数据进行分类。

使用时频分析和深度学习分割人体心电图信号。

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.

使用深度学习和连续小波变换对心跳心电图数据进行分类。

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.