Description: The performance of a Huffman code is a function of the entropy of the signal distribution and therefore can be
highly dependent in the transform domain in which the code is applied. For example, JPEG partitions an image
into blocks of 8x8 pixels and then transforms these with a 2D Discrete Cosine Transform (DCT), similar to a
DFT.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| huffman coding\huff2norm.m | 1489 | 2017-11-27
|
| huffman coding\huffcodes2bin.m | 1185 | 2017-11-27
|
| huffman coding\huffman_demo1.m | 1439 | 2017-11-27
|
| huffman coding\huffman_demo2.m | 2218 | 2017-11-27
|
| huffman coding\huffman_test1.m | 445 | 2017-11-27 |
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