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Normalisation

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Total cards: 12•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (12)

#1
Front (Question)

What is normalisation

Back (Answer)

A technique used to represent numbers as precise as possible

#2
Front (Question)

What is the precision in relation to when using normalisation

Back (Answer)

How many bits are being used

#3
Front (Question)

Converting denary to binary floating point numbers Step 1

Back (Answer)

Convert to a fixed point binary number in two’s complement

#4
Front (Question)

What is the exponent used for

Back (Answer)

To ensure that the floating point is place to optimise the precision of the number

#5
Front (Question)

Converting denary to binary floating point numbers Step 2

Back (Answer)

Move the binary point in order that you mantissa is normalised, keep a note of how many times you must move the binary point

#6
Front (Question)

Converting denary to binary floating point numbers Step 3

Back (Answer)

Convert your exponent to binary

#7
Front (Question)

Positive mantissa and positive exponent =

Back (Answer)

The denary value will be positive and greater than or equal to 1

#8
Front (Question)

Positive mantissa and negative exponent =

Back (Answer)

The denary value will be positive and less than 1

#9
Front (Question)

Negative mantissa and negative exponent =

Back (Answer)

The denary value will be negative and greater than or equal to 1

#10
Front (Question)

Negative mantissa and positive exponent =

Back (Answer)

The denary value will be negative and less than 1

#11
Front (Question)

Define underflow

Back (Answer)

When a number gets too small to represent it by the number of bits available to store it

#12
Front (Question)

Define overflow

Back (Answer)

When a number gets too large to represent it by the number of bits available to store it