L4-Hardware Data Representation Flashcards
Lecture 4
1
Q
Estimate:
2^24
2^30.
A
16 million and 4 billion.
2
Q
Define Sign magnitude representation.
A
Unlike 2’s complement, the most sig. bit of data is weightless but signed. i.e. e.g. 0110=6 but 1110=-6.
3
Q
What is the issue with sign magnitude representation?
A
Zero has two possible formats: 0000=0 and 1000=-0.
4
Q
How would you extend the word length of a -ve number?
A
Add ones to the MSB, like adding zeros to extend the bit of a +ve number.
5
Q
What does the noise margin do?
A
This adds a buffer for signal degradation. I.e. the large input range allows electric signals to either be decoded as 1 or 0.