Adaptive Huffman Coding with Memory Optimization

Adaptive Huffman coding (AHC) is an entropy encoding algorithm used for lossless data compression. This paper explores the effectiveness of Adaptive Huffman coding in achieving efficient data compression. The primary goal is to present and analyze the performance of AHC, focusing on its compression efficiency. The study integrates MATLAB code and block diagrams to evaluate the algorithm’s effectiveness. By leveraging parallel processing and optimization techniques, our approach aims to enhance compression efficiency. The paper highlights the significance of AHC in data compression and examines its implementation for improved performance.