chapter 3

3 types of compression rations

1) Keyword coding- frequently used words are replaced with a single character 2) Run Length coding- replacing a long series of a repeated character with a count of the repetition 3) Huffman Code- using a variable-length binary string to represent a character so that frequently used characters have short codes.

A computer must use the binary number system to represent information.

FALSE

A computer represents information in an analog form.

FALSE

Four bits can be used to represent 32 unique things.

FALSE

In the ASCII character set, there is no distinction made between uppercase and lowercase letters.

FALSE

Run-length encoding is very good at compressing English text.

FALSE

A CD stores audio information in a binary format.

TRUE

A digital signal represents one of two values at any point in time.

TRUE

An audio signal is digitized by sampling it at regular intervals.

TRUE

Huffman encoding uses variable-length binary strings to represent characters.

TRUE

Keyword encoding replaces frequently used words with a single character.

TRUE

Lossless compression means the data can be retrieved without losing any of the original information.

TRUE

The MP3 audio format discards information that can't be heard by humans.

TRUE

The Unicode character set includes all of the characters in the ASCII character set.

TRUE

Data Compress

reduces the size of bits needed