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嵌入式 AI 系统

基于 ARM^® 的设备和嵌入式 NVIDIA^® GPU 上的深度学习

在硬件上执行和部署深度学习解决方案。

函数

信号处理层

`cwtLayer`	Continuous wavelet transform layer (自 R2022b 起)
`icwtLayer`	Inverse continuous wavelet transform layer (自 R2024b 起)
`modwtLayer`	Maximal overlap discrete wavelet transform layer (自 R2022b 起)
`stftLayer`	Short-time Fourier transform layer (自 R2021b 起)
`istftLayer`	Inverse short-time Fourier transform layer (自 R2024a 起)

特征提取

`dlcwt`	Deep learning continuous wavelet transform (自 R2022b 起)
`dlicwt`	Deep learning inverse continuous 1-D wavelet transform (自 R2024b 起)
`dlmodwt`	Deep learning maximal overlap discrete wavelet transform and multiresolution analysis (自 R2022a 起)
`dlstft`	Deep learning short-time Fourier transform (自 R2021a 起)
`dlistft`	Deep learning inverse short-time Fourier transform (自 R2024a 起)
`cwtfilterbank`	Continuous wavelet transform filter bank
`findchangepts`	Find abrupt changes in signal
`findpeaks`	查找局部最大值
`modwt`	Maximal overlap discrete wavelet transform
`risetime`	Rise time of positive-going bilevel waveform transitions
`stft`	Short-time Fourier transform
`signalFrequencyFeatureExtractor`	Streamline signal frequency feature extraction (自 R2021b 起)
`signalTimeFeatureExtractor`	Streamline signal time feature extraction (自 R2021a 起)
`signalTimeFrequencyFeatureExtractor`	Streamline signal time-frequency feature extraction (自 R2024a 起)
`waveletScattering`	Wavelet time scattering

主题

Deep Learning Code Generation on ARM for Fault Detection Using Wavelet Scattering and Recurrent Neural Networks (Wavelet Toolbox)
Perform acoustic-based fault detection on a Raspberry Pi^® using wavelet scattering and recurrent neural networks. (自 R2023a 起)

精选示例

全新

Wireless Resource Allocation Using Graph Neural Network

Wireless Resource Allocation Using Graph Neural Network

Use graph neural networks for power allocation in wireless networks.

打开实时脚本

Modulation Classification Using Wavelet Analysis on NVIDIA Jetson

Modulation Classification Using Wavelet Analysis on NVIDIA Jetson

Use wavelets to classify waveforms on a NVIDIA Jetson^®.

打开实时脚本

Deploy Signal Segmentation Deep Network on Raspberry Pi

Deploy Signal Segmentation Deep Network on Raspberry Pi

Generate a MEX function and a standalone executable to perform waveform segmentation on a Raspberry Pi.

打开实时脚本

Classify ECG Signals Using DAG Network Deployed to FPGA

Classify ECG Signals Using DAG Network Deployed to FPGA

Classify human electrocardiogram (ECG) signals by deploying a trained directed acyclic graph (DAG) network.

打开实时脚本

Deploy Signal Classifier on NVIDIA Jetson Using Wavelet Analysis and Deep Learning

Deploy Signal Classifier on NVIDIA Jetson Using Wavelet Analysis and Deep Learning

Generate and deploy a CUDA^® executable to classify electrocardiogram signals using wavelet-derived features.

打开实时脚本

Code Generation for a Deep Learning Simulink Model to Classify ECG Signals

Code Generation for a Deep Learning Simulink Model to Classify ECG Signals

Create and deploy a Simulink^® model for signal classification using wavelet-based features.

打开脚本

Deploy Signal Classifier Using Wavelets and Deep Learning on Raspberry Pi

Deploy Signal Classifier Using Wavelets and Deep Learning on Raspberry Pi

Classify human electrocardiogram signals on a Raspberry Pi using scalograms and a deep convolutional neural network.

打开实时脚本

全新

Real-Time Noise Detection on Raspberry Pi Using Deep Signal Anomaly Detector

Real-Time Noise Detection on Raspberry Pi Using Deep Signal Anomaly Detector

Detect the presence of noise on a Raspberry Pi device.

打开实时脚本