信号处理、音频和无线
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。
精选示例
Musical Instrument Classification with Joint Time-Frequency Scattering
Classify musical instruments using joint time-frequency features paired with a 3-D convolutional network.
使用长短期记忆网络对 ECG 信号进行分类
使用深度学习和信号处理对心跳心电图数据进行分类。
使用深度学习进行波形分割
使用时频分析和深度学习对人体心电图信号进行分割。
Generate Synthetic Signals Using Conditional GAN
Use a conditional generative adversarial network to produce synthetic data for model training.
Audio-Based Anomaly Detection for Machine Health Monitoring
Design an autoencoder neural network to perform anomaly detection for machine sounds using unsupervised learning.
使用小波分析和深度学习对时间序列分类
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。
OFDM Autoencoder for Wireless Communications
Model an end-to-end orthogonal frequency division modulation (OFDM) communications system with an autoencoder to reliably transmit information bits over a wireless channel.
Hand Gesture Classification Using Radar Signals and Deep Learning
Classify ultra-wideband impulse radar signal data using a MISO convolutional neural network.
Detect Anomalies in Signals Using deepSignalAnomalyDetector
Use a learning-based tool to detect abnormal points or segments in time-series data.
