INFORMATION
& COMPUTER SCIENCE DEPARTMENT, KFUPM
ICS
202: DATA STRUCTURES
LAB#09:
Huffman
Coding
________________________________________________________________________________________________________________
1. To gain experience with encoding and decoding strings manually using the Huffman coding technique.
2. To study the implementation of the Huffman encoding algorithm.
3. To implement the Huffman decoding algorithm.
Download lab09.zip
and unzip it under the ics202 main folder.
After unzipping, the following files will be updated/added to the ics202 package:
HuffmanChar.java
HuffmanNode.java
HuffmanCode.java
The file TestHuffmanCode.java will be placed in ics202.lab09 package.
2.
Task1
Study each of the files
HuffmanChar.java ,
HuffmanNode.java,
HuffmanCode.java, and TestHuffmanCode.java carefully.
Notice that the method
encode() in HuffmanCode.java is
almost a straight forward translation of the algorithm demonstrated in the Huffman Lecture.
3. Task2
Write a visitor class HuffmanCodePrinter (in ics202.lab09). An instance of this class will be used in an inorder traversal
of a HuffmanCode tree to display its leaves. Note: Remember that the binary tree to be traversed holds HuffmanNode
objects.
4. Task3
(a) Complete case 1 of the switch statement in TestHuffmanCode.java. Compile the program and run it supplying the
following 7 characters and their associated frequencies (as given
in the Huffman Lecture):
Character |
a |
e |
l |
n |
o |
s |
t |
Frequency |
45 |
65 |
13 |
45 |
18 |
22 |
53 |
Notice that your program may not generate exactly the same code words generated in the Lecture. However, if your
program is correct the generated code words must have the prefix property [Note: To get exactly the same code words
as those generated by the program, you must create the min heap top down, and then create a resulting heap tree as
each key is deleted, i.e., A DETAILED TRACING OF THE encode METHOD IS REQUIRED]
(b)
Draw the HuffmanCode tree generated in Task
3(a)
(c) Manually draw the HuffmanCode tree and then generate code words for the characters in the following table:
Character |
s |
e |
a |
r |
g |
t |
Frequency |
5 |
30 |
15 |
10 |
5 |
20 |
Use your program to verify the correctness of your manually generated code
words.
5. Task4
In this task, you will improve the program so that input can be supplied to it from the keyboard as well as from a file. In both these cases, the program should process the input to obtain the statistical information required by the Huffman algorithm.
(a) Complete the following
method in the HuffmanCode class.
public MySearchableContainer updateContainer(String text, MySearchableContainer container)
This method updates a MySearchableContainer of characters with new characters provided in its string argument. The method is used
by the two calculateFrequency methods of the HuffmanCode class.
(b) Complete case 2 of the switch statement in TestHuffmanCode.java. Compile and test your program using the input string:
MUZZAMMILU
Your output should be :
Character frequency CodeWord
U 2 00
A 1 010
I 1 011
M 3 10
L 1 110
Z 2 111
(c) Complete case 3 of the switch statement in TestHuffmanCode.java. Compile and test your program using a textfile that contains the string MUZZAMMILU. Your output should be the same as that in Task4(b)
6. Task5
In this task, you are required to write a decoder
for Huffman codes. Recall that the
prefix property of Huffman codes makes them unambiguous to decode.
To accomplish this task:
(a) complete the method decode() in the HuffmanCode class, which given a sequence of bits, returns the sequence of
characters represented by the encoded bits.
(b) Complete case 4 of the switch statement in TestHuffmanCode.java .
Use Huffman code tree generated in Task 3(c) above to recover the strings encoded by the following bit sequence:
11101110101000100
Verify the correctness of your decode method by decoding the bit sequence manually.