Data Representation Flashcards

1
Q

Why is Hexadecimal use? Give examples

A
  • Hexadecimal is useful for representing large quantities of binary data as it only uses a few characters to represent lots of binary data.
  • For example colour codes or in IP addresses.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is Hexadecimal known as?

A

Base 16

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is a character set?

A
  • A character set is a defined list of characters recognized by the computer.
  • Each character is represented by a unique binary number.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Give examples of characters sets?

A
  • ASCII - a 7 but character set with 27 characters = 128
  • Extended ASCII - an 8 bit character set with 28 characters = 256
  • UNICODE - A 24 bit character set with 224 characters > 16 million
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Explain UNICODE

A
  • UNICODE - A 24 bit character set with 224 characters > 16 million
  • Unicode uses the same codes as ASCII up to 127.
    This means data encoded with Unicode will appear the same when using ASCII, assuming only the first 127 codes have been used.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is an analogue signal?

A

Analogue Signal: Natural sound waves, occurring in a continuous wave form, e.g.: human voice.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is a digital signal?

A

Digital signal: Discrete digital format for representing natural sound waves, e.g.: CDs and DVDs.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What are Analogue-Digital Converters?

A
  • An Analogue-Digital Converter is used to convert analogue sound into a digital format and vice versa.
  • An example of an ADC is a Microphone
  • An example of a DAC is a speaker
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What is Sampling Rate?

A
  • Sampling rate: How often (frequency) you record the amplitude of a sound wave
  • The more often you record a sample the smoother the playback will sound.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is Sample Resolution?

A
  • Sample resolution: Represents how many different gradations of amplitude can be represented in a digital wave form.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is Nyquist Theorem?

A
  • In 1928 Harry Nyquist worked out that if you wanted to produce an accurate recording you needed to use a sampling rate which is at least double that of the highest frequency in the original signal
  • This theory was proven by Claude Shannon in 1949.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What are the samples for the human ear and in audio CDs?

A
  • In the human ear the sample is between 20Hz-20000Hz
  • In Audio CDs, the sample is 44100 Hz
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is MIDI?

A
  • A MIDI is a technical standard.
  • It describes
    1. A protocol
    2. Digital Interface
    3. Standard set of connectors
  • This standard allows for a wide range of electronic musical instruments, computers etc, to communicate with each other.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

How does MIDI perform its function?

A
  • It does this by using a MIDI controller to send and receive event messages to each device. The messages specify details such as:
    1. Duration of note
    2. Pitch
    3. Volume change
    4. Vibrato
    5. Temp synchronisation etc.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is MIDI essentially?

A
  • MIDI is essentially a list of instructions on how to synthesis a sound. The sounds being pre-recorded digital samples of real instruments.
    The result is that a MIDI file uses far less disk space than a traditional digital recording (up to a 1000 times less.)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is the calculation for finding sound sample sizes?

A
  • Size of Sample = (Number of samples per second) * (Number of bits per sample) * (Length of sample in seconds)
17
Q

What are Bitmaps?

A

Bitmaps use single discrete individual pixels of colour to make up an image

18
Q

What are Vectors?

A

Vectors use lists of information’s and mathematical equations to recreate an image based on the data.

19
Q

What is Colour Depth?

A

Colour Depth is the number of bits needed to store each pixel.
The greater the number of colours, the more bits required to store them.

20
Q

How do Vectors work?

A
  • The properties of each geometric object/shape in the vector graphic image are stored as a list.
  • The information on the object, e.g.: fill colour, length etc, are stored in a drawing list.
21
Q

What is an SVG?

A
  • Scalable Vector graphics (SVG) is an XML - based image file format developed by the World Wide Web Consortium (WSC)
  • All modern browsers have some support for rendering vector images in SVG format in browsers.
22
Q

What is the calculation for finding the storage requirements for bitmaps?

A
  • Storage requirements = size in pixels * colour depth
  • Divide by 8 to find the requirements in bytes
23
Q

What are the Pros of Vector Graphics?

A

Vector Graphics Pros:
* The file size is kept relatively small, regardless of how much
you scale the image.
* Will always scale without loss of quality.
* Can manipulate individual objects easily
* Great format for logos or images with simple shapes and
colours.

24
Q

What are the Cons of Vector Graphics?

A

Vector Graphics Cons:
* Cannot easily replicate an image with continuous areas of changing colour.
Individual pixels cannot be changed.

25
Q

What are the Pros of Bitmapped Graphics?

A

Bitmapped Graphics Pros:
* Great format for storing full colour images taken on a phone or
digital camera.
* Can manipulate individual pixels easily.
* Images/Photos can easily be altered, retouched etc.

26
Q

What are the Cons of Bitmapped Graphics?

A

Bitmapped Graphics Cons:
* Generally takes up more memory and file storage.
* Images don’t scale very well, they become pixelated the larger
they get.