Question

Определи верные утверждения. 1. Формулу для вычисления количества информации равновероятных событий вывел Клод Шеннон. 2. Для кодировки 88 различных цветов используется 6-битное кодирование. 3. Мощность алфавита зависит от информационного веса символа. 4. С помощью вероятностного подхода можно определять количество информации в текстовом сообщении, которое состоит из символов определённого алфавита. 5. Если для кодирования одного символа используется 5 бит(-а) информации, то можно закодировать 32 символ(-а, -ов).

Answer 1

Ответ:

Объяснение:

1) нет, ее вывел Хартли.

2) нет, нужно 7 бит (от 65 до 128 цветов)

3) нет. Мощность алфавита - это количество различных символов в алфавите. Она ни от чего не зависит.

4) наверное, да, но точно не знаю.

5) да.

Answer 2

Verifying the Statements

1. The formula for calculating the amount of information for equiprobable events was derived by Claude Shannon. - This statement is true. Claude Shannon, an American mathematician and electrical engineer, developed the concept of information theory and derived the formula for calculating the amount of information for equiprobable events.

2. 6-bit encoding is used to encode 88 different colors. - This statement is false. To encode 88 different colors, you would need at least 7 bits (2^7 = 128), not 6 bits.

3. The power of an alphabet depends on the information weight of a symbol. - This statement is unclear and can be interpreted in different ways. The power of an alphabet typically refers to the number of symbols in the alphabet. The information weight of a symbol is not directly related to the power of the alphabet. It is more related to the probability or frequency of occurrence of a symbol in a given context. Therefore, this statement is not entirely accurate.

4. Using a probabilistic approach, it is possible to determine the amount of information in a text message consisting of symbols from a specific alphabet. - This statement is true. By considering the probabilities or frequencies of symbols in a given alphabet, it is possible to determine the amount of information in a text message using a probabilistic approach. Shannon's information theory provides a framework for quantifying information content based on probabilities.

5. If 5 bits of information are used to encode a single symbol, it is possible to encode 32 symbols. - This statement is true. Each additional bit doubles the number of possible combinations. With 5 bits, there are 2^5 = 32 possible combinations, which can be used to encode 32 symbols.

Summary of Verifications:

- Statement 1 is true. - Statement 2 is false. - Statement 3 is unclear and not entirely accurate. - Statement 4 is true. - Statement 5 is true.

Please let me know if you have any further questions!