Representing Images, Sound and Other Data Flashcards

1
Q

Describe Analogue Data

A

Continuous

No Limits to the values that the data can take

Can be changed as frequently as required

Smooth curves which feature sharp peaks

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2
Q

Describe Digital Data

A

Discrete

Can only take particular values

Can only take one of a specific range of values

Can only change values at specified intervals

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3
Q

What does a DAC stand for

A

Digital to Analogue converter

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4
Q

How does a DAC work

A

It reads a bit pattern representing an analogue signal and outputs an alternating, analogue, electrical current

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5
Q

What outputs an analogue signal

A

Temperature sensors and microphones

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6
Q

What does ADC stand for

A

Analogue to Digital Convertor

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7
Q

How does an ADC work

A

Takes a reading of an analogue signal at regular intervals

Records the value through sampling

Samples are taken at a specific frequency

Once the signal is recorded - it can be stored digitally as a bit pattern representing its amplitude

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8
Q

What are bitmap graphics and how do they work ————

A

A way a computer can represent an image

An image is broken down into pixels - each pixel is assigned a binary value

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9
Q

How is the resolution of an image represented ———–

A

Number of dots per square inch

OR

Number of pixels in an image

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10
Q

How big is a dot ——

A

A pixel

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11
Q

What determines the colour of a pixel ————–

A

The binary value assigned to it

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12
Q

What is the colour depth —————-

A

Number of bits assigned to a pixel in an image

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13
Q

How do you calculate the storage required to represent a bitmap image and what does this method tell you ————

A

Resolution x Colour Depth

Minimum amount of bits required due to the files containing metadata

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14
Q

What do vector graphics represent and how and what are the properties stored in ————–

A

Images using geometric objects and shapes

A list

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15
Q

Why can vector graphics be scaled without losing quality ———–

A

They use shapes instead of pixels

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16
Q

Uses for Vector Graphics ————

A

Simple images such as company logos

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17
Q

Uses for bitmapped graphics ————

A

Storing photos

18
Q

Why do vector graphics frequently use less storage space than bitmapped graphics ———————

A

Information is stored for each shape rather than for every single pixel

19
Q

How do computers represent sound

A

As a sequence of samples

20
Q

What does a sample take

A

Discrete digital values

21
Q

What is the sampling rate

A

Number of Samples per second

Measured in Hz

22
Q

What is the sample resolution

A

Number of bits allocated to each sample

23
Q

What comes with higher sample resolutions

A

Greater audio quality and increased file size

24
Q

How can the size of a sound sample be calculated

A

Sample rate x sample resolution x length of sample

25
What is the Nyquist Theorem
Sampling rate of a digital audio file must be at least twice the frequency of the sound
26
What does MIDI stand for
Musical Instrument Digital Interface
27
When are MIDIs used
With electronic musical instruments which can be connected to computers
28
How does a MIDI work
Stores sound as a series of event messages - each of which represents an event in a piece of music
29
Advantages of MIDI over samples
Easy manipulation of music without loss of quality (lossless) Notes can be transposed and the duration of notes can be altered Smaller in Size
30
What are the two types of compression
Lossy and Lossless
31
What is Lossy Compression
Compression where some information is lost Quality of File is Reduced The extent to which file size can be reduced is not limited
32
What is Lossless Compression
Compression where no information is lost There is no loss of quality There is a limit to how much file can be compressed
33
Define Encryption
The process of scrambling data so that it cannot be understood if intercepted in order to keep it secure during transmission
34
What is Plaintext
Unencrypted information
35
What is Ciphertext
Encrypted information
36
What is a cipher
A type of encryption method
37
What is a Vernam Cipher
A one time pad cipher which requires the key to be random
38
How does a Vernam Cipher work
Align the characters of the plaintext and the key Convert each character to binary using an information coding system Apply a logical XOR operation to the two bit patterns Converting the result back to a character
39
How many bit patterns can series of bits represent
2^n
40
What does the size of an image dtermine
Number of rows and columns of pixels that create the image
41
Relationship between size and resolution
Inversely proportional
42
Formula for resolution
Width in pixels x height in pixels