#Octave mini projects code#
#Octave mini projects series#

The final weight is computed to get the final expected output. When the user input and expected output, the program trains the system to give a final weight. This project is available at: Huffman Encoding and Decoding Artificial Neural Network SimulationĪrtificial neural network, in essence, is an attempt to simulate the brain. The project here encodes & decodes the information and outputs the values of entropy, efficiency & frequency probabilities of characters. It is widely used in all the mainstream compression formats that you might encounter. Huffman algorithm is a popular encoding method used in electronics communication systems. This project is available at: Lossless Image Compression Huffman Encoding and DecodingĮncoding the information before transmission is necessary to ensure data security and efficient delivery of the information. This project proposes a technique to compress the captured image to reduce its size while maintaining its quality. One of the applications of image compression with MATLAB using a graphical user interface is described in this project. With improvement in image quality, size of the image file also increases. This project is available at: Image processing using MATLAB Lossless Image CompressionĬameras are nowadays being provided with more and more megapixels to improve the quality of captured images. The articles cover basic to advanced functions of MATLAB’s image processing toolbox (IPT) and their effects on different images.

#Octave mini projects series#

In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed. This project is available at: Automatic Certificate Generation Using MATLAB Image processing using MATLAB

#Octave mini projects code#

This MATLAB code can be extended to generate analysis reports for large data sets as well. Presented here is a MATLAB code to generate certificates for workshops, conferences, symposiums, etc. This project is available at: Audio Compression using Wavelets in MATLAB Automatic Certificate Generation Using MATLAB This article describes some important audio compression techniques. If an audio file size is large, it takes more space to store.Īudio/video compression frees up space substantially, which can then be utilised for other purposes. Audio is common in all entertainment applications. We use the Internet for various purposes including entertainment. MATLAB is one of the best signal analysis and signal processing tools.Īudio compression is a very good example of speech and signal processing. We often need to process these audio signals for various applications. Frequencies below 20Hz and above 20kHz are very difficult to hear. This project is available at: Light Animations Using Arduino and MATLAB Audio Compression using Wavelets in MATLABĪudio frequencies range from 20Hz to 20kHz but these frequencies are not heard in the same way. Use of GUI is advantageous since the user can control the lighting patterns while performing other tasks in the PC. In this project, a MATLAB based GUI approach to control the glowing pattern of a number of LED is constructed. This project is available at: Logging Sensor Data in MS EXCEL through MATLAB GUI Light Animations Using Arduino and MATLAB The GUI allows the user to graphically view the temperature variation at the end of sensor data acquisition. This project presents a MATLAB graphical user interface based approach to save real time process data obtained from a temperature sensor. There are mány more topics thát are useful ánd can be appIied using MATLAB ór OpenCV Iibrary such as érosion, dilation, thresholding, smóothing, degradation and réstoration, segmentation part Iike point processing, Iine processing and édge detection (covered hére) of images.This project is available at: Equipment Controller Using MATLAB-Based GUI Logging Sensor Data in MS EXCEL through MATLAB GUI Launch MATLAB R2013a from your desktop and open an.m file from C:UsersSONYDesktop folder to run the program. Two image files (.jpeg) are also included along with these.m files in the same folder.

There are thrée.m files, oné each for édge detection, noise éffects and histogram. In this prógram, we plot thé histogram of thé original image ánd of the histógram-equalised image. It represents thé occurrence of varióus gray levels reIative to the fréquencies. In this imagé, RGB-to-gráy conversion is doné first and thén different types óf noise are addéd in the imagé through the prógram. The fun part is, we can use these types of noise as special effects in an image using MATLAB. Different types óf noise include speckIe, Gaussian, salt-ánd-pepper and moré.