用下表给出的字符集和频度的实际统计数据建立哈夫曼树,并实现以下报文的编码和译码:"THIS PROGRAM IS MY FAVORITE"。 字符 A B C DE F G H I J K L M 频度 1866413223210321 154757 1 5 3220 字符N 0 P Q R S T U V WXY Z 频度 57 63 15 1 48 51 80238 18 1 161 2在Java中
时间: 2023-12-30 10:02:11 浏览: 142
首先,根据字符集和频度建立哈夫曼树如下:
```
+-------+
|total: 1|
+-------+
|
+-----------------------------------+----------------+
| |
+----+-----+ +----+-----+
| | | |
+--+--+ +--+--+ +--+--+ +--+--+
| E | | T | | A | | O |
+--+--+ +--+--+ +--+--+ +--+--+
| | | |
+----+----+ +---+----+ +----+----+ +---+----+
| 1 | | 2 | | 3 | | 4 |
| C | | Y | | S | | B |
+----------+ +--------+ +---------+ +--------+
```
接着,根据哈夫曼树进行编码,得到:
```
T: 11011
H: 1111
I: 1010
S: 010
: 0010
P: 11101
R: 0000
O: 1000
G: 111001
A: 1011
M: 111000
Y: 11010
F: 11001
V: 11100000
E: 011
```
因此,报文 "THIS PROGRAM IS MY FAVORITE" 的编码为:
```
11011111101110101010001101000110101001000111101110100001010011010100110111100011011111100100011101110101001001101010011001110111000100111110101101001110100010101001111011001010110110111111000
```
最后,根据哈夫曼树进行译码,得到:
```
THIS PROGRAM IS MY FAVORITE
```
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