Sign-Magnitude Converter
Convert signed decimal numbers to Sign-Magnitude binary format and decode sign-magnitude bits. Designed for software developers, electrical engineers, students, and computer architecture researchers requiring deterministic client-side accuracy.
Enter a signed decimal integer or binary string.
Calculated Output
Step-by-Step Mathematical Proof
Active DerivationWhat Is Sign-Magnitude Converter?
Sign-Magnitude (or signed magnitude) representation dedicates the most significant bit (MSB) as a sign flag (0 for positive, 1 for negative) while the remaining bits encode the absolute magnitude of the number in standard binary.
How Does It Work?
For an n-bit register: determine the sign (0 or 1). Convert the absolute magnitude |N| into an (n-1)-bit binary string. Combine the sign bit with the magnitude string.
Mathematical Algorithm
Step-by-Step Example
Important Rules & Edge Cases
- MSB is strictly the sign bit (0 = positive, 1 = negative).
- Remaining n-1 bits represent magnitude.
- Has dual zeros: +0 is 00000000 and -0 is 10000000.
Practical Applications in Engineering
- Mantissa representation in IEEE-754 floating-point numbers.
- Analog-to-digital converter (ADC) signed output codes.
- Audio sample sign encoding in early digital signal processors.
Common Mistakes to Avoid
- Caution: Confusing sign-magnitude with Two’s Complement (in sign-magnitude, the magnitude bits are NOT inverted).
- Caution: Overflowing the (n-1) magnitude bit limit.
Frequently Asked Questions
Why was sign-magnitude abandoned for integer arithmetic in CPUs?
Because it requires separate circuits for addition and subtraction, and has two zeros (+0 and -0), which complicates zero-testing logic.
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2's Complement Calculator
Compute the 2’s complement for signed binary numbers across 8, 16, 32, and 64-bit architectures.