Data Representation (8hrs) · Computer Fundamentals & Emerging Technologies

Conversion between decimal and binary systems

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Conversion between decimal and binary systems

1. Decimal to Binary (Integer Part) — Repeated Division by 2

Divide the number repeatedly by 2, note each remainder (always 0 or 1), and stop when the quotient becomes 0. Read the remainders from bottom to top.

Example: (45)₁₀ = (?)₂

Step Division Quotient Remainder
1 45 ÷ 2 22 1 (LSB)
2 22 ÷ 2 11 0
3 11 ÷ 2 5 1
4 5 ÷ 2 2 1
5 2 ÷ 2 1 0
6 1 ÷ 2 0 1 (MSB)

Reading upwards: 101101₂. Check: 32+0+8+4+0+1=4532+0+8+4+0+1 = 45 ✓

2. Binary to Decimal (Integer Part) — Positional Expansion

Multiply each bit by its positional weight 2position2^{position} and add, from the right (position 0).

Example: (101101)₂ = (?)₁₀

Position 5 4 3 2 1 0
Bit 1 0 1 1 0 1
Weight 32 16 8 4 2 1
Product 32 0 8 4 0 1

32+0+8+4+0+1=32 + 0 + 8 + 4 + 0 + 1 = (45)₁₀

For long patterns the doubling method is faster: start with 0 and for each bit (left to right) do double and add the bit.
1 → 1; 1 → 3; 0 → 6; 1 → 13; 1 → 27; 0 → 54; 1 → 109 (so 1101101₂ = 109₁₀).

3. Fractional Part — Repeated Multiplication by 2

Multiply the fraction by 2; the integer part produced (0 or 1) is the next binary digit; keep the fractional part and repeat. Read the digits top to bottom.

Example: (0.625)₁₀ = (?)₂

Step Multiply Integer part Fraction left
1 0.625 × 2 = 1.25 1 0.25
2 0.25 × 2 = 0.50 0 0.50
3 0.50 × 2 = 1.00 1 0.00 → stop

So 0.625₁₀ = 0.101₂. Verify: 0.5+0+0.125=0.6250.5 + 0 + 0.125 = 0.625 ✓

A fraction whose denominator is not a power of 2 never terminates — e.g. 0.1₁₀ = 0.0001100110011…₂. This is exactly why 0.1 + 0.2 is not exactly 0.3 in floating-point arithmetic.

4. Whole Number with a Fraction

Convert the two parts separately and join them: 45.625₁₀ = 101101.101₂

5. Quick Method for Small Integers — 8-4-2-1 Weights

Subtract the largest power of 2 that fits, repeatedly, and put a 1 in the corresponding position:

(77)10→64+13→64+8+4+1→10011012(77)_{10} → 64 + 13 → 64 + 8 + 4 + 1 → 1001101_2
Weight 64 32 16 8 4 2 1
Bit 1 0 0 1 1 0 1

6. Range and Precision Points

  • nn bits give 2n2^{n} patterns: unsigned range 00 to 2n−12^{n} - 1 (8 bits → 0-255; 16 bits → 0-65535).
  • Each extra fractional bit halves the resolution (2−k2^{-k}): 8 fractional bits give a resolution of 1/256≈0.00391/256 ≈ 0.0039.
  • Conversion errors come only from the fractional part (truncation) — integer conversions are always exact.

7. Practice Numericals

Problem Answer
(156)₁₀ → binary 10011100
(1000)₁₀ → binary 1111101000
(1101011)₂ → decimal 107
(0.40625)₁₀ → binary 0.01101
(25.75)₁₀ → binary 11001.11
(11111111)₂ → decimal 255 (= 2⁸ − 1)

8. Exam Points

  • Convert a given decimal integer and fraction to binary (show the table) — 5 marks, almost certain.
  • Convert a binary number to decimal by positional expansion — 3 marks.
  • With a worked example, explain why 0.1 cannot be represented exactly — 3-5 marks.
  • Find the range of numbers representable in n bits (unsigned) — 3 marks.
  • State the number of bits required for a given range of values — 2-3 marks.
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