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

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)

Variable Length Coding (that is, assigning a variable length code word with different numbers of bits representing different symbols) will always provide a coding advantage (i.e. the average number of bits/symbol) when compared with a fixed length coding scheme (i.e. all symbols are represented by code words with the same number of bits).Question 4Select 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.)

How many characters or symbols can be represented by 8-bit code

How the number of characters stored is limited by the bitsavailable