Step 1: Determine the sign.
The sign bit is S = 1, which indicates that the number is negative.
Step 2: Decode the exponent.
The exponent bits are:
E = 100000012
Converting to decimal:
100000012 = 129
Using the bias (127) for single-precision IEEE 754:
Actual exponent = 129 − 127 = 2
Step 3: Determine the mantissa.
The fraction bits are:
F = 11110000000000000000000
Adding the implicit leading 1 for a normalized number, the mantissa becomes:
1.11112
Step 4: Convert the mantissa to decimal.
1.11112 = 1 + 1/2 + 1/4 + 1/8 + 1/16
= 1.9375
Step 5: Compute the final value.
Value = −(1.9375 × 22)
= −7.75
Final Answer:
−7.75
The format of the single-precision floating-point representation of a real number as per the IEEE 754 standard is as follows:
\[ \begin{array}{|c|c|c|} \hline \text{sign} & \text{exponent} & \text{mantissa} \\ \hline \end{array}\] Which one of the following choices is correct with respect to the smallest normalized positive number represented using the standard?
If \( x \) and \( y \) are two decimal digits and \( (0.1101)_2 = (0.8xy5)_{10} \), the decimal value of \( x + y \) is \(\underline{\hspace{2cm}}\).