Logical Functions, Sign Extensions, and Overflow

Brendan Massey
6 min readJun 19, 2021

As discussed here, bits are essential building blocks for information and data. The value of a bit comes from the electrical pulses: the voltage, received by the bit. We use a standard known as 2’s Complement to write binary such that addition and subtraction work. In the last segment, we showcased an edge-case where addition would fail: overflow.

Overflow occurs when the most significant bit is incremented beyond the range of bits. For example, 0111 + 0001 = 7 + 1 should equal 8; however, this equals 1000, which is -8 in 2’s Complement, as the Most Significant Bit is used to represent whether the value is positive or negative. How do we cope with such an issue?

We will have to put fail-safes in our system to check whether or not two negatives form a positive or two positives form a negative, which we know can never happen. Keeping track of that kind of information is beyond the scope of what we are learning about today; so, now, we will focus our attention on how to utilize overflow, in particular, length overflow.

Sign-Extension:

When we add values in decimal, for example: 100 + 10, what we are implicitly doing is appending a 0 in front of the 10 such that the values will match: 100 + 010 = 110. Can we do this same thing with binary addition? How would that work?

Let’s take an example with two numbers, the first one consisting of 8 bits — a byte:

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Brendan Massey

I write about programming and computer science as well as review Coursera courses I have taken related to the aforementioned topics.