Text compression is a useful tool for managing and sharing data efficiently. It can be used for file transfer, data storage, email attachments, backup and restore, and data analysis, among other applications.
Text decompression is an important tool for managing and accessing compressed text files. It is required to access the contents of a compressed file, recover data from corrupted files, and restore archived data for analysis or database management.
Huffman coding is a popular technique used for file compression, especially for text files. It is a lossless compression technique that assigns unique binary codes to each character in the file based on their frequency of appearance.
The Huffman coding algorithm starts by analyzing the input text file and creating a frequency table of all the characters present in the file. It then builds a binary tree, where each leaf node represents a character and its associated frequency of appearance. The algorithm then combines the two nodes with the lowest frequencies and creates a new node representing their combined frequency. This process is repeated until all nodes are combined into a single root node.
Rutvik Ranpariya
