Run-Length Encoding and Decoding Process Implementation

This document provides a comprehensive guide to implementing run-length encoding (RLE) and decoding processes using MATLAB. Run-length encoding is a straightforward and effective data compression technique that converts sequences of repeated data values into a more compact representation. In the encoding phase, the rle function processes input data by identifying consecutive repeated elements and replacing them with a count-value pair. The algorithm works by scanning through the data sequence, maintaining a running count of identical consecutive elements, and outputting (count, value) tuples when the value changes. This approach significantly reduces data size when dealing with sequences containing long runs of identical values. For the decoding process, the rld function reconstructs the original data sequence from the encoded (count, value) pairs. The implementation involves iterating through each encoded pair and expanding them back into the original sequence by repeating each value according to its corresponding count. This ensures perfect reconstruction of the original data without any loss of information. Through this documentation, you will gain a thorough understanding of the fundamental principles and implementation methods of run-length encoding in MATLAB. The guide includes practical examples demonstrating how to effectively utilize this technique for data compression and decompression in real-world applications. Key implementation details cover handling edge cases, optimizing performance for large datasets, and ensuring robust error handling throughout the encoding and decoding operations.