Data Representation Flashcards

Flashcards generated from lecture notes on binary, denary, hexadecimal conversions, data representation, and file compression.

Binary

Base number 2 (represented by 0 and 1)

Denary

Base number 10 (represented by 0 to 9)

Hexadecimal

Base number 16 (represented by 0 to 9 and A to F)

Binary to Denary Conversion

Adding weightings of all the 1s to convert binary to denary.

Denary to Binary Conversion

Divide denary by 2 until it results in 0, remainders are read from bottom to top.

Binary to Hexadecimal Conversion

Split binary into 4-bit groups (start from the right), and assign each group a hexadecimal value.

Hexadecimal to Binary Conversion

Convert each hexadecimal value to its corresponding binary value.

Hexadecimal to Denary Conversion

Multiply hexadecimal digit by heading value then add to convert to denary.

Denary to Hexadecimal Conversion

Carry out successive divisions by 16 until result is 0, remainders are read from bottom to top.

Error Codes

Memory locations where an error occurs are shown automatically by the computer.

Media Access Control (MAC) Address

Identifies devices on a network.

Internet Protocol (IP) Address

A device given when joining a network.

HTML Colour Codes

Pixels on screen made of RGB.

Overflow Error

Adding 8-bits but sum has a 9th bit.

Logical Binary Shifts

Shift from left to right (divide by 2 per shift) or shift from right to left (multiply by 2 per shift).

Two’s Complement

Allows the possibility of representing negative integers.

Character Set

A collection of symbols, letters, and characters that are used to represent information.

Sampling

Converts analogue sound waves into digital format by taking measurements.

Pixel

Smallest identifiable part of an image.

Lossy File Compression

Eliminates unnecessary data but original file cannot be reconstructed.

Lossless File Compression

data from original uncompressed can be reconstructed

Run Length Encoding

reduces size of a string adjacent, identical data items

Calculation of File Size

image resolution (# of pixels) * color depth (in bits)