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Lec32
1.
Compression & Huffman
Codes Nelson Padua-Perez William Pugh Department of Computer Science University of Maryland, College Park
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Huffman Tree Construction
1 3 5 8 2 7 A C E H I
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Huffman Tree Construction
2 3 5 8 2 7 5 A C E H I
17.
Huffman Tree Construction
3 3 5 8 2 7 5 10 A C E H I
18.
Huffman Tree Construction
4 3 5 8 2 7 5 10 15 A C E H I
19.
Huffman Tree Construction
5 3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I E = 01 I = 00 C = 10 A = 111 H = 110
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Huffman Decoding 1
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 1 111001
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Huffman Decoding 2
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 11 11001
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Huffman Decoding 3
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 111 1001 A
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Huffman Decoding 4
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 111 1 001 A
26.
Huffman Decoding 5
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 111 10 01 A C
27.
Huffman Decoding 6
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 11110 0 1 AC
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Huffman Decoding 7
3 5 8 2 7 5 10 15 25 1 1 1 1 0 0 0 0 A C E H I 11110 01 AC E
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