항공우주
Radar Target Classification Using Machine Learning and Deep Learning (Radar Toolbox)
Classify radar returns using machine and deep learning approaches.
통신 및 신호 처리
Data Analysis on S-Parameters of RF Data Files (RF Toolbox)
Perform statistical analysis on S-parameter data files using magnitude, mean, and
standard deviation.
Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition (Wavelet Toolbox)
Extract features on your GPU for signal classification.
Feature Selection for Audio Classification (Audio Toolbox)
Perform audio feature selection to select a feature set for either speaker recognition
or word recognition tasks.
Speaker Identification Using Pitch and MFCC (Audio Toolbox)
Use machine learning to identify people based on features extracted from recorded
speech.
Speaker Diarization Using x-vectors (Audio Toolbox)
Speaker diarization is the process of partitioning an audio signal into segments according to speaker identity.
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. (R2024a 이후)
Generate Synthetic Signals Using Conditional GAN (Signal Processing Toolbox)
Use a conditional generative adversarial network to produce synthetic signals.
Human Activity Recognition Using Signal Feature Extraction and Machine Learning (Signal Processing Toolbox)
Extract features from smartphone sensor signals and use them to classify human
activity.
산업 자동화 및 기계
데이터 기반 모델을 사용한 결함 검출 (Predictive Maintenance Toolbox)
결함 검출에 데이터 기반 모델링 접근 방식을 사용합니다.
3축 진동 데이터를 사용하여 산업 기계의 이상 감지 (Predictive Maintenance Toolbox)
머신러닝과 딥러닝을 사용하여 산업 기계 진동 데이터의 이상을 감지합니다.
Build Condition Model for Industrial Machinery and Manufacturing Processes
Train a binary classification model using Classification Learner App to detect
anomalies in sensor data collected from an industrial manufacturing
machine.
구름 요소 베어링 결함 진단 (Predictive Maintenance Toolbox)
가속도 신호를 기반으로 구름 요소 베어링의 결함 진단을 수행합니다.
잔차 분석을 사용한 원심 펌프의 결함 진단 (Predictive Maintenance Toolbox)
펌핑 시스템에 있는 결함의 검출 및 진단을 위해 모델 패리티 방정식 기반 접근 방식을 사용합니다.
Air Compressor Fault Detection Using Wavelet Scattering (Wavelet Toolbox)
Classify faults in acoustic recordings of air compressors using a wavelet
scattering network and a support vector machine.
Predict Battery State of Charge Using Machine Learning
Train a Gaussian process regression model to predict the state of charge of a
battery in automotive engineering.
Deploy Neural Network Regression Model to FPGA/ASIC Platform
Predict in Simulink® using a neural network regression model, and deploy the Simulink model to an FPGA/ASIC platform by using HDL code generation.
Monitor Equipment State of Health Using Drift-Aware Learning
This example shows how to automate the process of monitoring the state of health for a cooling system using an incremental drift-aware learning model and Streaming Data Framework for MATLAB® Production Server™.
클라우드에서 드리프트-인식 학습을 사용하여 장비 건전성 상태 모니터링하기
이 예제에서는 클라우드에서 배포된 버전의 Monitor Equipment State of Health Using Drift-Aware Learning 예제를 실행하는 데 필요한 설정을 설명합니다.
의료 기기
Wavelet Time Scattering for ECG Signal Classification (Wavelet Toolbox)
Classify human electrocardiogram signals using wavelet time scattering and a
support vector machine classifier.
Wavelet Time Scattering Classification of Phonocardiogram Data (Wavelet Toolbox)
Classify human phonocardiogram recordings using wavelet time scattering and a
support vector machine classifier.
Human Activity Recognition Simulink Model for Smartphone Deployment
Generate code from a classification Simulink model prepared for deployment to a smartphone.
Human Activity Recognition Simulink Model for Fixed-Point Deployment
Generate code from a classification Simulink model prepared for fixed-point deployment.
