Question: This question deals with floating-point arithmetic. Assume that for our floating- point representation here, we have a ceg3156-precision as shown in figure 1. Sign Exponent

This question deals with floating-point arithmetic. Assume that for our floating-

point representation here, we have a ceg3156-precision as shown in figure 1.

This question deals with floating-point arithmetic. Assume that for our floating- point representation here, we have a ceg3156-precision as shown in figure 1. Sign Exponent Mantissa 12 Figure 1: Ceg3156-precision floating-point number representation Here are a couple of notes to keep in mind while working with ceg3156- precision: Sign 1-bit wide, and used to denote the sign of the number (0 signifies + and 1 signifies -); Exponent 5-bit signed exponent in excess-15 representation; Mantissa 6-bit fractional component. Part a Show the IEEE-754 binary representation for the floating-point number (25.125)10 in ceg3156-precision. Part b Show the IEEE-754 binary representation for the floating-point number (-1023.6666...) 10 in ceg3156-precision. Part c What are the smallest and largest numbers representable in ceg3156-precision format? Part d Add, subtract, multiply and divide the following two operands: A = 1 00010 011001 B = 0 01110 111000 in ceg3156-precision floating-point representation, and represent their results, both in binary and decimal notation

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