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使用 Deep Learning Toolbox™ 将深度学习融入信号处理、音频处理、无线通信和雷达处理应用中。
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.
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