Are There Any Limitations of Huffman Coding in Nanotechnology?
While Huffman coding is efficient for many applications, it may have limitations when dealing with extremely high-dimensional data sets typical in nanotechnology. The initial computation of the Huffman tree can be resource-intensive, which might not be suitable for all real-time applications. Additionally, if the data does not have a skewed frequency distribution, the compression ratio may not be as significant.
