Flashcards
Data Representation
Cards in this deck (33)
- 1Whole numbersPositive or negative integers
(eg. -2,-1,0,1,2) - 2Rational numbersValues that can be represented as fraction or ratios
(eg. 0.5 , 1/2) - 3Irrational numbersValues that cannot be represented by fraction
(eg.π, √2) - 4Real numbersNumber that is either rational or irrational
- 5Binary systemA number system which there are only two possible values for each digit: 0 and 1
- 6Hexadecimal(Base 16)Number system which uses 16 values to represents
- 7Byte8 bits
- 8ASCIIAmerican Standard Code for Information Interchange
- 9UnicodeAn international encoding standard for use with different languages and scripts
- 10Transmission errorsWhen the data doesn't arrive as the same format as it was sent
- 11Parity bits[Odd or Even]
A bit in a byte is used as a parity bit when sending the data(1 / 0). - 12Majority votingEach bit of a message is sent 3 times.
The computer will compare them and read the majority one - 13Check digitA check digit is an additional digit at the end of a string of other number designed to check for mistakes in input or transmission
- 14ChecksumsIt sums up all the bytes in a transmission of data and compare with the expected one
- 15Converting negative numbers to binary
- 16Two's complement overflowWhen the result of then addition is too large to fit in the allocated numbers of bits
- 17How does a camera capture an image
- 18BitmapIt is created using a grid of pixels
- 19Bitmap resolutionThe number of pixels used to make up a bitmap image
(width * height) - 20Colour(bit) depthThe number of bits used to represent colours in an image
(2^x where x is the number of bits)
(eg. 8 bits = 256 colours) - 21Colour codesIt is usually represented in hexadecimal,
in the order of RGB(Red Green Blue) - 22File size of an imagenumber of pixels used * colour depth
- 23MetadataIt is the information of a file
(eg. data created, file size) - 24Vector graphicIt is made up of geometric shapes or objects
They are mathematically redrawn when resized - 25Bitmap vs Vectors
- 26Nyquist TheoremSamples must be twice the highest frequency in order to replicate the original sound wave
- 27Reason for compressingData is sent more quickly
Less bandwidth is used as transfer - 28Run Length Encoding (RLE)Compression method that summaries consecutive patterns of the same data
- 29Lossy CompressionRemoves data permanently to reduce file size
Data is lost forever - 30Lossless compressionIt works by recording patterns in the data rather than the data itself
Data can be restored - 31Dictionary CompresionSpots regularly occurring data and stores it separately in a dictionary
- 32EncryptionA way of making sure data cannot be understood if you don't possess the means to decrypt it
- 33Caesar cipherit works by shifting letters by default 3 place to encrypt a message
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- absolutely nothing Assassination Flashcards on Data Representation, created by aaa aaa on 18/01/2019.
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