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モデル化

チュートリアル

入門

• Getting Started with Android Devices
  This example shows you how to use Simulink® Support Package for Android® Devices to run a Simulink model on an Android device.
• Working with Android Devices Block Library
  This example shows how to use blocks from the Simulink® Support Package for Android® Devices to create a Simulink model and run it on an Android device.
• Scope Block with Android Devices
  This example shows how to plot real-time data on an Android® device by using the Simulink® Scope block with Simulink Support Package for Android Devices.
• Plot Array on Android Device
  This example shows how to create an Android® app to plot vector or array data on an Android device using the Array Plot block of DSP System Toolbox™ through a Simulink® model. To implement this workflow, you must install the Simulink Support Package for Android Devices.
• Work with BLE Blocks on Android
  This example shows how to configure your Android® device to send data over Bluetooth® Low Energy (BLE) protocol and receive data on another Android device using BLE blocks from Simulink® Support Package for Android Devices.
• Accept Input from Android Keyboard
  This example shows how to accept input values from the Android® keyboard and convert them to a logical output using Simulink® Support Package for Android Devices.
• Get Started with Deploying Customizable Dashboard Blocks on Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to create an interactive dashboard display using the Dashboard Circular Gauge and ノブ blocks from the Simulink Customizable Blocks library. The example also shows you how to deploy the interactive dashboard application on your Android device such as tablet or phone. You can obtain the what you see is what you get (WYSIWYG) visualization on the application deployed on your Android device and web browser.
• Get Started with MQTT Protocol on Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to subscribe and publish data to topics of ThingSpeak™ and Mosquitto™ brokers via MQTT protocol.

適用

• Sensor Application
  This example shows you how to use Simulink® Support Package for Android® Devices to design an algorithm and augment the same with a custom GUI.
• Color Detection
  This example shows you how to develop a Simulink® model for an image processing application - color detection by using Simulink Support Package for Android® Devices.
• Color Replacement
  This example shows you how to use sliders and buttons from Simulink® Support Package for Android® Devices to develop an interactive system for color replacement application.
• Enhanced Color Replacement with Customized Code Using Android Devices
  This example shows how to use FromApp block from Simulink® Support Package for Android® Devices to receive data and add a touch interface in an Android application. This example demonstrates a workflow to customize the Simulink generated Android project using Android Studio.
• Human Activity Recognition Simulink Model for Smartphone Deployment
  This example shows how to prepare a Simulink® model that classifies human activity based on smartphone sensor signals for code generation and smartphone deployment. The example provides a Simulink models that is ready for deployment to an Android® device. After you install the required support package, train the classification model and deploy the Simulink model to the device.
• Plot Route and Speed on a Map Using MAT-File Logging on an Android Device
  This example shows you how to plot the route and speed of your journey on a web map using MAT-file logging on an Android® device. GPS coordinates are collected in MAT-files and used to plot the route and speed.
• Set Position of Bebop Drone on Gazebo Simulator from Android Device Using ROS
  This example shows how to generate an Android® application to set the position of the Parrot® Bebop drone on the Gazebo simulator using Simulink® Support Package for Android Devices. In this example, your computer is configured as ROS master, and the Android device is configured as ROS client. The device connects to the computer through the Robot Operating System (ROS) interface. The data received from the device is displayed using the simulator running on the computer.
• Visualize Sensor Data from Android Device in RViz
  This example shows how to generate an Android® application to visualize live sensor data from an Android device on the ROS visualization (RViz) tool using Simulink® Support Package for Android Devices. In this example, sensor data such as orientation, angular velocity, and acceleration of the device are visualized. Your computer is configured as ROS master, and the Android device is configured as ROS client. The device connects to the computer through the Robot Operating System (ROS) interface. The sensor data from the device is visualized using the RViz tool running on the computer.
• Customize Dashboard Widgets of Android Application Performing Temperature Conversion
  This example shows how to customize the dashboard widgets of an Android® application that performs temperature conversion from degree Celsius to Fahrenheit. This Android application consists of Edit and Display dashboard blocks. You can enter the temperature in degree Celsius in the Edit block and the Display block displays the temperature in degree Fahrenheit. You can customize the widget size, color, its placement on the Simulink® panel, and many more features to suit your requirements and functional area. Once you have designed the dashboard panel on the Simulink model, you can deploy it on your Android device such as phone or tablet, and obtain the exact same representation of the panel on the graphical user interface (GUI) dashboard of the Android application.
• Communicate Using ThingSpeak TalkBack on Android
  This example shows how to use the Simulink® Support Package for Android® Devices to perform these actions on ThingSpeak™ TalkBack queue commands: delete all commands, add a command, execute next commands, and display last executed command. You can view these actions, along with their statuses, on an application deployed on your Android device or on the ThingSpeak TalkBack channel.
• Create Custom User Interface for Android Application
  This example shows how to use the Simulink® Support Package for Android® Devices to create and integrate a customized user interface (UI) for an Android application.
• Estimate Blood Pressure Using Algorithm Export Workflow on Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to integrate an algorithm developed in Simulink into an existing Android application using Android Studio. This example shows how to create a library module for the Simulink model that estimates blood pressure and displays it on an Android application. You can use this workflow to integrate any algorithm with an existing Android application using Android Studio.
• Read and Write to ThingSpeak Channel Using Android HTTP Client Block
  This example shows how to use the HTTP Client block from the Simulink® Support Package for Android® Devices to read and write data to a field in a ThingSpeak™ channel.
• Detect People with Notification from IFTTT on Android Devices
  This example shows how to use the HTTP Client block from the Simulink® Support Package for Android® Devices to trigger an HTTP request to IFTTT for any person detected and send push notification to any smart phone with IFTTT application.

オーディオ処理を使用した適用例

• Get Started with Audio Signal Processing Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to get started with audio signal processing applications on Android devices. It also shows how to:
• Add Effects to Audio Signals Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to add echo and wah effects to an audio signal using audio signal processing. It also shows how to estimate the frequency-domain transfer function of a system using the Discrete Transfer Function Estimator block.
• Implement Bandpass Filter Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to design a bandpass filter using DSP System Toolbox™.
• Implement Biquad and IIR Notch Filter for Noise Filtering Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to implement a biquadratic and notch infinite impulsive response (IIR) filter for noise filtering.
• Implement Adaptive Filter for Noise Cancellation Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to implement an adaptive filter for noise cancellation using DSP System Toolbox™.
• Synthesize Variable Frequency Tones Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to produce tones of variable frequency. Use the example to generate noise in different tones for an audio system. This example uses the Audio Oscillator (Audio Toolbox) block to generate sinusoidal, square, and sawtooth waveforms. You can tune the frequency and amplitude of the sinusoidal noise signal from the dashboard panel deployed on your Android device.
• Synthesize Engine Noise Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to synthesize a realistic engine noise using the Wavetable Synthesizer (Audio Toolbox) block.
• Working with Android Audio File Write Blocks
  This example shows how to use the Audio File Write block from the Simulink® Support Package for Android® Devices to save the processed or recorded audio data.
• Implement Parametric Audio Equalizer on Android Device
  This example shows how to use Audio File Read and Audio Playback blocks from the Simulink® Support Package for Android® Devices to implement a parametric audio equalizer algorithm with a Simulink model and run the model on an Android device to hear and visualize output of it.
• Implement Advanced Parametric Audio Equalizer Using Android Devices
  This example shows how to create an Android® app using Simulink® Support Package for Android Devices with Audio Toolbox™ to implement a parametric audio equalizer.
• Add Echo and Reverberation Effects to an Audio Signal on an Android Device
  This example shows how to create an application to add echo and reverberation effects to an audio signal captured from the microphone of an Android® device. The application displays an audio visualizer that is synchronized with the audio as it is played. The application also has sliders that enable you to control various parameters of the audio signal.
• MultiChannel Audio to Stereo Converter
  This example shows how to convert five-channel audio to stereo using Simulink® Support Package for Android® Devices.
• Surround Sound Matrix Encoding
  This example shows how to generate a stereo signal from a multichannel audio signal using matrix encoder from the Simulink® Support Package for Android® Devices.
• Three-Dimensional Audio Processing with Android Device
  This example shows how to use the interpolateHRTF (Audio Toolbox) function to produce a three-dimensional (3-D) audio effect on stereo audio using Simulink® Support Package for Android® Devices. The interpolateHRFT function modifies 3-D audio by filtering it through a head-related transfer function (HRTF).
• Create and Customize Android Application Dashboard for Audio Visualizer
  This example shows how to create and customize an Android® application to add reverberation effects to a real-time audio signal. You can customize the application dashboard to suit your requirement and functional area.
• Model Code Profiling for Multiband Dynamic Range Compression System Using Android Device
  This example shows how to use multi-rate multitasking along with real-time code execution profiling for a digital audio multiband dynamic range compression system on an Android® device.

コンピューター ビジョンを使用した適用例

• Get Started with Computer Vision Applications Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to get started with computer vision applications on Android devices. The example also helps you get accustomed with the Android device driver blocks such as Camera and Video Display.
• Implement Histogram Equalization and Median Filtering on Images Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to implement histogram equalization and median filtering on images using an Android device.
• Detect and Match Local Features Between Image Frames Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to determine the geometric transformation between a pair of images. When one image frame is distorted relative to another by rotation or scale, you can find out the rotation angle and scale factor to recover the original image.
• Detect Stop Signal Traffic Sign Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to detect a stop signal traffic sign using an Android device. The example uses a cascade object detector to detect a stop sign using the Viola-Jones algorithm.
• Stabilize Shaky Video Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to remove the effect of camera motion from a video stream. In the first video frame, the model defines the target to track. It also establishes dynamic search region, whose position is determined by the last known target location. The model only searches for the target within this search region, which reduces the number of computations required to find the target. In each subsequent video frame, the model determines how much the target has moved relative to the previous frame. It uses this information to remove unwanted translational camera movements and generate a stabilized video.
• Detect and Display Live Barcode Using Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to detect and display live barcode data using an Android device. The example uses the Computer Vision Toolbox™ to create an image processing system which can recognize and interpret a GTIN-13 and universal product code (UPC) barcode. The GTIN-13 barcode, formally known as EAN-13, is an international barcode standard. It is a superset of the widely used universal product code UPC standard.
• Detect and Track Objects Using Deep Learning on Android Device
  This example shows how to use the Simulink® Support Package for Android® Devices to deploy a deep learning algorithm that detects and tracks an object on your Android device such as a phone or tablet. This algorithm uses the ResNet-18-based YOLOv2 neural network to identify the object captured by the camera. You can experiment with different objects around you to see how accurately the network detects images on your Android device.
• Digit Classification Using HOG Features on MNIST Database
  This example shows how to classify digits using HOG features and a multiclass SVM classifier.
• Detect and Track Face on Android Device
  This example shows how to detect faces captured by an Android® camera using Simulink® Support Package for Android Devices. The model in this example tracks the face even when the person tilts the head, or moves toward or away from the camera.
• Recognize Handwritten Digits Using MNIST Data Set on Android Device
  This example shows you how to recognize images of handwritten digits captured on your Android® device using Simulink® Support Package for Android Devices. On deployment, the Simulink model in this example builds an Android application on the device. Using the camera of the device to capture an image of any digit from 0 to 9, the application recognizes the digit and then outputs a label for the digit along with the prediction probability. This example uses the pretrained network, originalMNIST.mat, for prediction. The network has been trained using the Modified National Institute of Standards and Technology database (MNIST) data set.

Raspberry Pi ハードウェアとの通信

• Control LED on Raspberry Pi Board Using Android Device
  This example shows you how to control a Raspberry Pi® LED from an Android® device.
• Build Surveillance Camera Using Android and Raspberry Pi
  This example shows how to use a Raspberry Pi® hardware board and an Android® device to build a surveillance camera.

LEGO MINDSTORMS EV3 との通信

• Connect Android Device to LEGO MINDSTORMS EV3
  This example shows how to connect an Android® device to a LEGO® MINDSTORMS® EV3 brick.
• Control LEGO MINDSTORMS EV3 Robot Using Android Device
  This example shows how to use the Accelerometer sensor data of an Android® device to control the motion of a LEGO® MINDSTORMS® EV3 robot.
• Tune PID Controller Parameters Using Android Application for LEGO EV3 Object Tracking System
  This example shows how to create an Android® application to tune the PID controller parameters of an object tracking system using an Android device. This object tracking system has been built using the LEGO® MINDSTORMS® EV3 hardware and the Pixy2 vision sensor.

Arduino ハードウェアとの通信

• Control Brightness of Arduino Onboard LED from Android Device
  This example shows how to control the brightness of the Arduino® LED from an Android® device.
• USB Serial Communication Using Android Devices
  This example shows how to use the Simulink® Support Package for Android® Devices to send and receive serial data from Arduino® hardware.

MATLAB Function ブロックの使用

• Detect Boundaries of Objects Within Video Using MATLAB Function Block on Android Device
  This example shows you how to identify the boundaries of objects in a live video stream on Android® device by using a MATLAB Function block with the Simulink® Support Package for Android Devices. The process of identifying boundaries of objects is known as edge detection. This example implements the Sobel edge detection algorithm to identify the boundaries of the objects.
• Shift Audio Signal Pitch Using MATLAB Function Block on Android Device
  This example shows you how to shift the pitch of an audio signal on an Android® device by using a MATLAB Function block with the Simulink® Support Package for Android Devices.