Knowee
Questions
Features
Study Tools

Each of a set of IID symbols is generated with nonuniform probability by a certain process and is represented by a variable length code according to the following table.Symbol     Probability     Code wordA 0.53 0B 0.07 111C 0.24 100D 0.06 1100E 0.04 1101F 0.06 101What is the average number of bits per symbol generated? (Give your answer to 3 significant figures, WITHOUT units)

Question

Each of a set of IID symbols is generated with nonuniform probability by a certain process and is represented by a variable length code according to the following table.Symbol     Probability     Code wordA 0.53 0B 0.07 111C 0.24 100D 0.06 1100E 0.04 1101F 0.06 101What is the average number of bits per symbol generated? (Give your answer to 3 significant figures, WITHOUT units)

🧐 Not the exact question you are looking for?Go ask a question

Solution

To calculate the average number of bits per symbol generated, we need to multiply the probability of each symbol by the length of its code word and then sum up these products.

Here's how to do it:

  1. For symbol A, the probability is 0.53 and the code word is 0, which has a length of 1 bit. So, the product is 0.53 * 1 = 0.53.

  2. For symbol B, the probability is 0.07 and the code word is 111, which has a length of 3 bits. So, the product is 0.07 * 3 = 0.21.

  3. For symbol C, the probability is 0.24 and the code word is 100, which has a length of 3 bits. So, the product is 0.24 * 3 = 0.72.

  4. For symbol D, the probability is 0.06 and the code word is 1100, which has a length of 4 bits. So, the product is 0.06 * 4 = 0.24.

  5. For symbol E, the probability is 0.04 and the code word is 1101, which has a length of 4 bits. So, the product is 0.04 * 4 = 0.16.

  6. For symbol F, the probability is 0.06 and the code word is 101, which has a length of 3 bits. So, the product is 0.06 * 3 = 0.18.

Now, add up all these products: 0.53 + 0.21 + 0.72 + 0.24 + 0.16 + 0.18 = 2.04.

So, the average number of bits per symbol generated is 2.04.

This problem has been solved

Similar Questions

The average number of bits/symbol is obtained by calculating the sum of all piLi, where pi is the probability of symbol i and Li is the length (in bits) of the code word used to represent symbol i. If we use a fixed length code word (e.g. each symbol is represented by a 4-bit word), then the average number of bits/symbol is independent of the probability distribution.Question 1Select one:TrueFalse

Suppose that the output of a process that generates independent symbols {A, B, C, D, E} with known probabilities {in the same order: 0.2, 0.33, 0.1, 0.07, 0.3 } needs to be communicated. If we constructed a Huffman code to represent the symbols, what would be the average number of binary digits/symbol that would result? (Your answer should be accurate up to the first decimal point. Type a number only - no units.)

What is the average number of bits for each letter of the word "amazing" using Huffman coding algorithm? Select one:a.18/7b.19/7c.3d.20/7e.None of thesef.17/7

Suppose that the output of a process that generates independent symbols {A, B, C, D, E} with known probabilities {in the same order: 0.2, 0.33, 0.1, 0.07, 0.3 } needs to be communicated. What is the entropy (bits/symbol)? (Your answer should be rounded off to the nearest first decimal point. Type a number only - no units.)

Classify each code in the table below according to the standard definitions and when you have more time evaluate the length, entropy and efficiency  for each instantaneously decodable code.Source SymbolProbabilitiesCode-1Code-2Code-3Code-4Code-5X11/2100010001X21/41011011101010X31/811010110110110110X41/811101111111011011001

1/2

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.