임베디드 AI 시스템
ARM® 기반 장치와 임베디드 NVIDIA® GPU에서 딥러닝 솔루션을 실행하고 배포합니다. 코드를 생성하고 하드웨어를 사용하여 신호 분할, 분류 및 이상 감지를 간소화합니다.
관련 정보
추천 예제
Raspberry Pi에 신호 분할 심층 신경망 배포하기
MEX 함수와 독립형 실행 파일을 생성하여 Raspberry Pi®에서 파형 분할을 수행합니다.
Modulation Classification Using Wavelet Analysis on NVIDIA Jetson
Use wavelets to classify waveforms on a NVIDIA Jetson®.
Classify ECG Signals Using DAG Network Deployed to FPGA
Classify human electrocardiogram (ECG) signals by deploying a trained directed acyclic graph (DAG) network.
Detect Air Compressor Sounds on a Raspberry Pi Using Wavelet Scattering and TensorFlow Lite Network
Generate and deploy Raspberry Pi code to detect air compressor sounds using the Wavelet Scattering Simulink® block and a pretrained deep learning network.
Deep Learning Code Generation on ARM for Fault Detection Using Wavelet Scattering and Recurrent Neural Networks
Perform acoustic-based fault detection on a Raspberry Pi using wavelet scattering and recurrent neural networks.
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.
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.
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.
Real-Time Noise Detection on Raspberry Pi Using Deep Signal Anomaly Detector
Detect the presence of noise on a Raspberry Pi device.
