信号处理、音频和小波

加速信号处理、音频处理和小波分析应用

通过将 Parallel Computing Toolbox™ 与 Signal Processing Toolbox™、Audio Toolbox™ 和 Wavelet Toolbox™ 结合使用，利用并行计算来加速信号处理、音频处理和小波分析等应用。

App

Extract and analyze signal features (自 R2025a 起)

Classify ECG Signals Using Long Short-Term Memory Networks with GPU Acceleration (Signal Processing Toolbox)
Classify heartbeat electrocardiogram data using deep learning and signal processing with GPU acceleration. (自 R2022b 起)
Accelerate Signal Feature Extraction and Classification Using a GPU (Signal Processing Toolbox)
Use a graphical processing unit (GPU) to extract signal multidomain features for bearing fault detection. (自 R2024b 起)

Extract Features from Audio Data Sets (Audio Toolbox)
Use different methods of extracting features from an audio data set.
Accelerate Audio Machine Learning Workflows Using a GPU (Audio Toolbox)
This example shows how to use GPU computing to accelerate machine learning workflows for audio, speech, and acoustic applications. (自 R2024a 起)
Accelerate Audio Deep Learning Using GPU-Based Feature Extraction (Audio Toolbox)
Leverage GPUs for feature extraction to decrease the time required to train an audio deep learning model.

GPU Acceleration of Scalograms for Deep Learning (Wavelet Toolbox)
Use your GPU to accelerate feature extraction for ECG and spoken digit classification.
Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition (Wavelet Toolbox)
Extract features on your GPU for signal classification.