Binary Data Representation: Signed, Unsigned, 1’s & 2’s Complement Explained with Shortcuts
Binary data representation is the foundation of digital electronics and computer systems. Whether you're designing circuits or writing code, understanding how numbers are stored and processed is critical. This guide breaks down signed, unsigned, 1's complement, 2's complement, and their applications in binary arithmetic.
1. Unsigned Representation
Definition:
Stores only positive numbers (including 0).
Range (for n bits):
Example (4 bits):
-
0000 = 0
-
1111 = 15
Advantages:
-
Full range used for positive numbers
-
Simple binary-to-decimal conversion
Disadvantages:
-
Cannot represent negative numbers
2. Signed Representations
Signed binary numbers allow representation of both positive and negative numbers. There are three main methods:
A. Signed Magnitude Representation
-
The MSB (Most Significant Bit) indicates the sign:
-
Remaining bits store the magnitude
Range (for n bits):
(Note: zero has two representations. Eg., 0000 and 1000 for 4 bit)
Example (4 bits):
-
0001 = +1
- 1001 = -1
Advantage:
-
Easy human understanding
Disadvantage:
-
Arithmetic operations are complex
-
Redundant +0 and -0
B. 1’s Complement:
-
Invert all bits of the positive number to get the negative equivalent.
Range:
Same as signed magnitude:
Shortcut to find -N:
Invert all bits of +N
Addition Rule:
If there’s a carry-out from the MSB, add it back to the LSB (end-around carry).
Advantage:
-
Easier than signed magnitude for subtraction
Disadvantage:
-
Still two representations of zero
-
Carry-back logic complicates addition
C. 2’s Complement (Most Popular Method)
-
Invert all bits of +N and add 1 to get -N
Range (for n bits):
Shortcut to find -N:
-
Invert all bits
-
Add 1
Example:
+5 (4 bits) = 0101
-5 = invert 0101
→ 1010
, add 1 → 1011
Advantages:
-
Only one representation of zero
Addition and subtraction are straightforward.
-
Arithmetic is easy and consistent
- Widely used in hardware (e.g., processors).
Disadvantage:
-
Range is asymmetric
Whether it’s binary, decimal, octal, or hexadecimal—mastering these conversions sharpens your logic and prepares you for topics like memory addressing, digital logic, and data communication.
This isn’t just theory—it’s the language your circuits and code speak. Learn it well, and you’ll unlock powerful skills for both hardware and software domains.
Coming up next in the Hobitronics Digital Series: Complements — stay tuned to hobitronics.blog!
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