An alphabet contains symbols A, B, C, D, E, F. The frequencies of the symbols are 35%, 20%, 15%, 15%, 8%, and 7%, respectively. We know that the Huffman algorithm always outputs an optimal prefix code. However, this code is not always unique (obviously we can, e.g., switch 0’s and 1’s and get a different code - but, for some inputs, there are two optimal prefix codes that are more substantially different). For the purposes of this exercise, we consider two Huffman codes to be different if there exists a symbol for which one of the codes assigns a shorter codeword than the other code.
• Trace the Huffman algorithm and construct two different Huffman codes for the above input.
• Compute the expected number of bits per symbol (i.e., the expected codeword length) for both codes.
An alphabet contains symbols A, B, C, D, E, F. The frequencies of the symbols are...
(a) Create a Huffman code for the following string (whitespace inserted for clarity): AAA BB CCCCC CCCCC DD EEE (b) How many bits does your code use to encode the above string? (c) Huffman codes are always optimal prefix codes, and there are many different ways one can build a Huffman code from the same set of character frequencies (e.g. by swapping the left and right subtrees at any iteration). Give an example of an optimal prefix code for this...
Problem (A1) (20 points): Huffman Coding Consider a message having the 5 symbols (A,B,C,D,E) with probabilities (0.1,0.1,0.2 ,0.2, 0.4), respectively. For such data, two different sets of Huffman codes can result from a different tie breaking during the construction of the Huffman trees. • Construct the two Huffman trees. (8 points) Construct the Huffman codes for the given symbols for each tree. (4 points) Show that both trees will produce the same average code length. (4 points) For data transmission...
We have the symbols A, B, C, D, E, F, G, H with frequencies 1, 1, 2, 4, 8, 16, 32, 64. Show the Huffman tree and Huffman code for the symbols. How much compression does a 1000 digit file use when using this Huffman code based on an 8-bit ASCII code (ie, ISO 8859-1)?
(b.) Huffman code is a way to encode information using variable-length binary strings to represent symbols depending on the frequency of each individual letter. Specifically, letters that appear more frequently can be encoded into strings of shorter lengths, while rarer letters can be turned into longer binary strings. On average, Huffman code is a more efficient way to encode a message as the number of bits in the output string will be shorter than if a fixed-length code was used....
. Huffman Encoding (a.) (6 points) Suppose a certain file contains only the following letters with the corresponding frequencies 1 AİB 73 9 30 44 130 28 16 In a fixed-length encoding scheme, cach character is given a binary representation with the same number of bits. What is the minimum number of bits required to represent each letter of this file under fixed-length encoding scheme? Describe how to encode all seven letters in this file using the number of bits...
Design the optimal (Huffman) code for the alphabet {a, b, c, d, e, f, g, h, i, j, k, l}, where frequencies are given in the table below: Draw the appropriate decoding tree. a 0.25 g 0.02 b 0.01 h 0.12 c 0.09 i 0.15 d 0.02 j 0.04 e 0.24 k 0.01 f 0.04 l 0.01
4. Consider the given seven symbols with probabilities as {A, B, C, D, E, F, G} = {0.25, 0.20, 0.18, 0.15, 0.12, 0.06, 0.04}. Use Huffman coding to determine coding bits, entropy and average bits per symbol.
5. Eight letters {A, B, C, D, E, F,G,H} appear in a 100 letter length message with the following frequencies: 22, 6, 13, 19, 2, 9, 25, 4. (a) Use Huffman tree to design an optimal binary prefix code for the letters. (b) What is the average bit length of the message after apply codes designed in (a) to the message? [20 marks]
Consider the following symbols with their corresponding frequencies: A:1, B:1, 0:2, D:3, E:5, F:8, G : 13, H: 21 Problem 2.a. (3 points) • Construct the Huffman coding of these symbols along with its optimal coding tree. Problem 2.b. (3 points) • Use your coding tree to decode 0001001000010000000001001
In Figure 1 a conceptual diagram of a seven-segment screen is presented, called a, b, c, d, e, f and g, as well as a decimal point dp. In this work, it is not considered the decimal point. Figure 1: Seven-Segment Screen Each of the segments is a light-emitting diode (LED). The screen is used for representing numbers or other symbols. If the screen is a common cathode, then when a high voltage appears (logical value 1) the respective LED...