Storage Units & Binary Flashcards

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1
Q

What is a bit

A

A single binary digit eg 1 or 0

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2
Q

What is a byte

A

A group of 8 bits

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3
Q

What’s a nibble

A

4 bits are a nibble

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4
Q

How many bytes make a kilobyte and how much do you multiply by to get to MB & beyond

A

1000bytes

X 1000 from each jump

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5
Q

When counting in binary what do the deniers equivalents at the top go up in

A

X2

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6
Q

1 & 0 are like a row of…

A

Light switches 1=on

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7
Q

In binary addition

A

You carry 1 when it adds up to 2 however carry it till it is 0+0 and then add the left over 1

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8
Q

What is overflow & sort of example

A

A computer stores things in finite space however if you can not represent a number in that amount of space as it is tooo large then overflow occurs and a glitch occurs for example 8 bits represent 256 numbers however you can’t fit 267 into that space

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9
Q

To multiply in binary

A

Each shift to the left represents multiplication by two

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10
Q

To divide in binary

A

Each shift to the right is dividing by 2

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11
Q

Why do we use hex

A

It’s easier for humans to understand as it shortens a long string of numbers .

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12
Q

Hex is what type of base

A

16

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13
Q

Hex is represented in how many bits

A

4bits (nibble)

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14
Q

Why do we use letters in hex

A

The smallest value in 4 bits is 0000 & the largest is 1111. This means we need to represent 1-15 denery values into hex but we on,y have numerical digits 0-9 so we use letter A- F. To represent 10-15.
For numbers above 15 the binary are split into groups of 4 (nibbles) & then represented

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15
Q

To convert decimal to hex either

A

Divide by 16 and convert the answer & left over into hex eg 182/16=11 remainder 6 which gives us B6
Or convert it binary & then convert

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16
Q

ASCII stands for

A

American Standard Computer for Information Interchange

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17
Q

Normal ASCII uses how many bits which results in how many characters?

A

7 bits per character =127 decimal +1 = 128 characters

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18
Q

Extended ASCII uses how many bits resulting in how many characters

A

8bits. Per character =256 characters

19
Q

Why do we use extended ASCII

A

So that we can also encompass the extra letters found in European languages

20
Q

Why do we use Unicode

A

Unicode represents all characters in all languages of the world

21
Q

Unicode uses how many bits per character

A

8-32 bits however same codes up to 127

22
Q

What is a drawing that you can create on powerpoint

A

Vector graphic

23
Q

To store images on computers they are broken up into the smalles elements called

A

Pixels

24
Q

Size of an image is represented directly as

A

Height & width in terms of pixels

25
Q

What is a bitmap image

A

Each pixel is specifically assigned a position & colour hence does not change when enlargened

26
Q

Colour depth is

A

The number of bits per pixel for example if there are 4 colours you need to work out what 4 is in a base of 2 . 2 squared = 4 . The power is how many bits so for 4 colours 2 bits are requires per pixel.

27
Q

If the colour depth increased

A

More bits are used so file size increases

28
Q

Size file in image

A

Size in bits= resolution x colour depth (bits per pixel)

29
Q

Resolution of images

A

Image width x image height

30
Q

To change bits into byte & then into KB

A

/8 to get bytes then x 100 to get KB

31
Q

What is ADC

A

An Analogue to digital converter used for sound

32
Q

Steps for converting a sound wave

A

Analogue sound received by mic
Converted into electrical analogue signal
The amplitude of the signal is measured at regular intervals so is sampled
The values are quantified by rounding to a level
The quantified values are stored as binary digits

33
Q

What is a sample in sound

A

The measure of the amplitude at a point in time

34
Q

What does the accuracy of analogue sound wave into digital depend upon

A

The sample resolution - the number of bits per sample - the more bits the better
The sample rate - frequency with which you record the amplitude ie number of sample per second - the more the better

35
Q

File size of a sample of sound

A

Sample rate x sample resolution x number of second

36
Q

Compression

A

Is making a file smaller

37
Q

We use compression to

A

Reduce amount of storage needed
Allow large files to be sent as an email transmitted
Allow file to be transmitted in less time owing to smaller file size

38
Q

Lossy compression is

A

When information is removed so bits are reduced eg image colour depth is reduced

39
Q

Repercussions of lossy compression

A

Information is lost eg quality of image decreases as less colours are used

40
Q

Lossless compression is

A

Is when the file is squashed but no information is lost

41
Q

Types of lossy (files)

A

Jpg

MP3

42
Q

Types of lossless (file)

A

Gif

43
Q

Run length encoding

A

Stored using frequency/data pairs

Useful on icons with many pixels of the same colour

44
Q

Huffman tree steps

A

Draw a table of frequency of each character
Start at the bottom with the smallest frequency in circle and two branches with letters off it. Then work your way up
Once you reach the top branches on the left are assigned 0 branches on the right are assigned 1. Then work your way down noting 0 & 1 until you get you a character of your choice and that would be the Huffman value of that particular character.