Chapter 9 Flashcards

1
Q

Define character set

A

A list of binary codes used by a computer to represent characters (eg. Text)

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2
Q

What is ASCII and what does it stand for?

A

A character set
American Standard Code for Information Interchange

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3
Q

How many unique characters could the original ASCII represent?

A

2^7 = 128

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4
Q

How many bits were used in the original ASCII?

A

7

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5
Q

What do the first 32 binary codes represent?

A

Formatting commands

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6
Q

How to convert from ASCII to character in python

A

Chr()

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7
Q

How to convert from character to ASCII?

A

Asc()

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8
Q

Why was extended ASCII created and how many bits are used?

A

8 bits because computers think in a byte and it allows for more characters. - 2^8

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9
Q

What is and why was Unicode created.

A
  • Different companies used different character sets so a universal code was needed
  • 256 codes were not enough
  • Unicode uses 4 bytes and can represent 2^32 characters
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10
Q

Why was ASCII created?

A

To make a universal code so all devices could understand each other.

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11
Q

How are pictures stored digitally?

A

Stored as a bitmap - broken down into pixels. Each pixel colour is encoded into binary

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12
Q

What is colour depth?

A

The number of bits used to encode the amount of red green and blue in each pixel.

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13
Q

What is the total no of shades a colour depth can represent?

A

2^no bits

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14
Q

How to find image file size

A

File size = pixel width x pixel height x colour depth/bits

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15
Q

What is Metadata

A

Extra data about the file such as:

Resolution
Any edits
Owner
Date and time

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16
Q

Disadvantages of analogue recordings

A

Difficult to transport
Can degrade
Hard to edit + copy
Limited storage

17
Q

Advantages of digital recordings

A

Easy to transport
Does not degrade
Cheap to edit+copy
Thousands of songs can be stored in a hard drive

18
Q

How are audio files recorded?

A

sound waves amplitude was sampled thousands of times a second and encoded into binary

19
Q

How to increase quality of a audio file?

A

Increasing the sample rate - the no of samples taken per second
Increasing Bit depth - the no of bits used to represent each sample

20
Q

What is the normal sample rate?

A

44.1KHZ

21
Q

How to calculate an audio file size

A

Audio file size = sample rate x bit depth x no. Channels x length/seconds

22
Q

How to increase resolution of an image

A

Increase no. Pixels

23
Q

Name 2 types of compression

A

Lossy
Lossless

24
Q

Define lossy compression

A

Decreasing file size by removing data. The data is not recoverable.

25
Q

Define Lossless compression

A

Reducing file size by removing redundancies

26
Q

What are redundancies

A

Repeated data

27
Q

Which type of compression do images and audio files undergo?

A

They are usually lossily compressed.
Image - reduce colour depth or no. Pixels
Audio - reduce sample rate, bit depth or no. Channels