Hamming code is a type of error-correcting code used in digital communication and information storage. It was developed by Richard Hamming in 1950 and is named after him. The primary purpose of Hamming codes is to detect and correct errors that can occur during the transmission or storage of data.
Hamming codes are like digital detectives that find and fix mistakes in computer data. They use extra bits (parities) to check for errors and make sure information is correct. By comparing received and expected codes, called syndromes, they can spot and correct mistakes. Hamming codes are crucial for making sure digital systems, like computers and communication devices, work reliably. They help a lot in tasks where getting information right is really important, such as sending messages or storing data in computers.
The project is a Java program that consists of two sections. The first section allows the user to enter a single byte, word, or double word and introduce random single or burst errors, which can then be corrected. The percentage of corrected errors can also be calculated.
The second section involves reading from a file, image, video, etc. The program adds both single and burst errors to the data and attempts to correct them using Hamming code. The percentage of corrected errors is then calculated.
- JAVA
- JavaFX for GUI
- CSS
-
First thing we need to input Data with Adding Random Single Error, For Ex : 01001101
-
Second Thing we want to press on button “Send Data” Reciver and see the result of parity bit,transmitte Data, Received Data With error and corrected data, Percentage of correcting errors
- Repeat the same thing but with burst errors.
- First things first , let’s try to load a photo and see the results if we put small ratio of burst errors (most of errors are single)
- now if we pressed at button “Load Output File” , the java program will take a bit of time and once it finishes the output photo will be generated with error correction percentage , number of errors introduced and corrected.
-
notice how the output image has been changed (some noise added to it because of random errors) .also , see the percentage of correcting erros it’s 99.9%
-
Now, we want to increase the burst error ratio and observe the difference. So, we will repeat all the steps with only one change, which is the increased ratio.
in conclusion , The Hamming code is a powerful technique used in digital transmission for detecting and correcting errors. It utilizes parity bit checkers to accomplish this task effectively. we conclude , It seems like the Hamming Code is only capable of correcting single errors but not burst errors.
As we have seen in the previous steps, increasing the ratio of burst errors led to a higher number of errors that were not corrected. Therefore, it is safe to conclude that Hamming Code is only suitable for single error correction.