Matlab gui projects

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Matlab gui projects

Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world.

Such huge usage leads to some very interesting prospects in designing. After all, the list of applications of such a software is endless. The GUI allows the user to graphically view the temperature variation at the end of sensor data acquisition. Use of GUI is advantageous since the user can control illumination patterns while performing other tasks in the PC. Audio frequencies range from 20Hz to 20kHz but these frequencies are not heard in the same way. Frequencies below 20Hz and above 20kHz are very difficult to hear, while those not much more than 20Hz, or not much less than 20kHz, cannot be heard by most people.

We often need to process these audio signals for various applications. Audio compression is a very good example of speech and signal processing. We use the Internet for various purposes including entertainment.

Audio is common in all entertainment applications. If an audio file size is large, it takes more space to store. This article describes some important audio compression techniques. Conventionally, educational institutions and companies use specialised tools for report cards and certificates generation on a large scale. In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed.

Cameras are nowadays being provided with more and more megapixels to improve the quality of captured images. With improvement in image quality, size of the image file also increases. One of the applications of image compression with MATLAB using a graphical user interface is described in this project.

This project proposes a technique to compress the captured image to reduce its size while maintaining its quality.

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This project is available at: Lossless Image Compression. Encoding the information before transmission is necessary to ensure data security and efficient delivery of the information. Huffman algorithm is a popular encoding method used in electronics communication systems. It is widely used in all the mainstream compression formats that you might encounter.

The MATLAB project presented here encodes and decodes the information and also outputs the values of entropy, efficiency and frequency probabilities of characters present in the data stream. This project is available at: Huffman Encoding and Decoding.

Artificial neural network, in essence, is an attempt to simulate the brain. When the user enters the inputs say, p1, p2 and p3 and the expected corresponding outputs say, t1, t2 and t3 in the program, the program trains the system and gives a final weight.

The final weight is computed to get the final expected output. This program is an attempt to understand the basics of artificial neural network and how one can use it for further applications.

GUI projects

This project is available at: Artificial Neural Network Simulation. These calculations waste a lot of time. This circuit design calculator software developed in MATLAB helps you solve, analyse and determine circuit design with capacitors, inductors, resistors, diodes, transistors and other components. The software can provide answers to many complex analogue and digital circuit design problems. This project is available at: Circuit Design Calculator.

Today, almost all applications are expected to be wireless, consume very little power and have high data retention capability.The commands to move the car in forward, reverse, right and left directions are sent from the GUI and processed by Arduino Uno board mounted on top of the car. You can send commands to Arduino to move the car in a specific direction by pressing the corresponding push button in the GUI. The particular push button, when pressed, executes callback function corresponding to that push button in the MATLAB program, car.

Block and circuit diagrams for controlling the robot are shown in Figs 2 and 3, respectively. Arduino Uno board. LD IC. This is a dual H-Bridge high-current motor driver IC. This IC is used since the digital pins of Arduino Uno cannot source enough current to drive the motors of the robotic car.

H-bridges are also useful in controlling the direction of rotation of a motor. Enable pins pins 1 and 9 of the IC being active high are connected to 9V.

Circuit operation is performed using the software program loaded into the internal memory of Arduino board. The steps are listed below:. Arduino IDE 1. After downloading Arduino IDE, install it. Note the directory of Arduino IDE installation. Extract the compressed folder named ArduinoIO.

After pasting pde folder in correct location, open Arduino IDE. Connect Arduino Uno board to your PC. This code will correctly install and save the path of Arduino support package. Open the source code file for this project titled car.

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After successful communication is established, you can control the robot by pressing the appropriate pushbutton in the GUI. Assemble the robotic car by connecting two motors, two wheels rear and a castor wheel front. Connect the circuit as per the circuit diagram shown in Fig. Connect the battery with correct polarity; otherwise you might end up damaging Arduino board and LD. For troubleshooting, check the voltages at various test points given in Table II.

Shibendu Mahata is M. Tech gold medallist in instrumentation and electronics engineering from Jadavpur University. Currently, he is pursuing Ph. D from NIT, Durgapur. He is interested in MCU based real-time embedded signal processing and process control systems. Saikat Patra is passionate about electronics and MCU based embedded system applications Suman Nag enjoys electronics and likes to read about wireless sensor networks.

Have you followed the installation instructions given in the source code folder in the link given above? Which Matlab version you are using? Sign in Join. Sign in.

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How to draw any function using GUI MATLAB.

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Get notifications on updates for this project. Get the SourceForge newsletter. JavaScript is required for this form. No, thanks. Features gui layout toolkit framework ui matlab. Project Samples. Project Activity.The main requirements of prediction of the consumption of electricity for rural regionwill be: 1. The application should be able to predict at the electrical load one week and month ahead 6.

The coding should be done for feed forward network or bpn for neural part for the given data. Minimum rule sets required for fuzzification of the data for clustering.

matlab gui projects

Output required in charts and numeric value 9. The basic outline for the neural-fuzzy network. Neural training takes place in the input layer. Minimum tuples required for training. The proposed approach can be divided into two phases: i training phase and ii classification phase. The output of the training phase is a trained classifier capable of predicting binary classification label based on features of MRI scan.

The performance of the trained classifier can be evaluated using measures like accuracy, sensitivity and specificity. The metrics used to determine performance of the trained classifier can be used to determine performance of the proposed approach and its comparison with existing methods. Object detection is the process of finding instances of real world objects such as faces, vehicles and buildings in images or videos.

Face Detection and Pedestrian Detection comes under the Object detection.

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Vehicle detection is a part of Object detection. Vehicle detection mainly focus on detecting the vehicle. Automated Vehicle detection will be done by first obtaining the images or videos of vehicles in traffic areas under surveillance.

This can be done by using Image Sensors. After the Image or video being captured the vehicles in the image or video have to detected.

matlab gui projects

Finally,after detecting the vehicles the vehicles have to be counted. Depending on the count the traffic volume will be detected. Web services based GPRS automatic meter reading provides better solutions for the managements in meter reading of power consumptions accurately with no scope man made errors.

The meter readings were collected by the remote reading units and transferred to the communication front end systems at the control system and billing is done.

60+ MATLAB Projects For Engineering Students

In AMR metering technologies we transmit data from transmitter end to receiver end by means of RF technology. The process of selecting blocks and initializing them is clearly explained in the coming sections. Color is the most common feature to distinguish between objects, sorting and recognizing.

This technology can be used in Packaging industries where the objects moving through a conveyor belt have to get separated. This system provides such an automatic detecting of specific colored object which presented in front of video camera. The video will be transmitted to the PC.Graphical user Interface GUI allows the user to perform communal task using controls called components from the window.

Feature extraction is nothing but grouping objects of same values in one category and the remaining values in other category. Image segmentation in Matlab GUI projects has become as target of present research. Favors of segmentation are :. Pixels are classified in a single class based on decision rule.

Known techniques of classification are as below:. Filtering types are as follows :. For matching the fingerprints we use fingerprint hybrid matching algorithm in miniate information and texture form. For extracting an image structure during preprocessing we can use thresholding method.

Examples of pattern recognition are speech signal, DNA sequence, fingerprint image and handwritten word. The two main approaches of noise reduction are:. Snakes on a Plane: A perfect snap for bioimage analysis. Every region should be linked to set of pixels.

matlab gui projects

Every pixel should be allotted to regions. Any mixed pair of neighbor regions must be non-uniform. Every pixel should belong to individual region only. Favors of segmentation are : Does not care about the relationships between pixels of a feature.

Pixels in group are based on global attribute.

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Provides relationships within pixels. Shoots the pixels of interest. Benefits involves recognition, measurement and detection. Known techniques of classification are as below: Maximum likelihood classifier. Minimum distance classifier. Classifiers such as Fuzzy set theory and expert systems.

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Multi level slice classifier. Filtering types are as follows : Sharpening. Noise removal by averaging filter. Noise removal by median filter. Pattern is a body, borely defined and also can be guien name. The two main approaches of noise reduction are: Morphological operations.Sign in to comment. Sign in to answer this question. Unable to complete the action because of changes made to the page.

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Wasim Akhlaq on 18 Apr Jan on 18 Apr Image Analyst on 18 Apr No, Visual Studio is or at least that's the easiest to use when designing the GUI and giving it a rich look with any control you could ever possibly wantbut you'd need the Builder NE toolbox for that.

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The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I have developed a matlab project which includes main. Note that code above only save your results in the handler structure. You need to use it to show data on screen depending on the type of result you get from your function. Learn more. Asked 4 years ago. Active 4 years ago.

Viewed 53 times. Shantanu Gupta Shantanu Gupta 3 1 1 bronze badge. Active Oldest Votes. First, of course, you need the main screen. Then add a pushbutton on it using "uicontrol" function. Next you need to set the event handler. An event, in your case, happens when the user clicks the pushbutton, or points cursor on it, etc. In the event handler, you must ask the user to choose an image. Open image with received location. Execute your code and save results in the handler. Handler is a structure with handles and user data.

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