Chapter3 Fixed Point RepresentationDr. Bernard Chen Ph.D.University of Central ArkansasSpring 2009

Subtract by Summation Subtraction with complement is done with binary numbers in a similar way.

Using two binary numbers X=1010100 and Y=1000011

We perform X-Y and Y-X

X-YX=10101002s com. of Y=0111101Sum= 10010001Answer=0010001

Y-XY=10000112s com. of X=0101100Sum=1101111

Theres no end carry: answer is negative --- 0010001 (2s complement of 1101111)

How To Represent Signed NumbersPlus and minus signs used for decimal numbers: 25 (or +25), -16, etc.

For computers, it is desirable to represent everything as bits.

Three types of signed binary number representations: signed magnitude, 1s complement, and 2s complement

1. signed magnitudeIn each case: left-most bit indicates sign: positive (0) or negative (1).

Consider 1. signed magnitude:

2. Ones Complement RepresentationThe ones complement of a binary number involves inverting all bits.

To find negative of 1s complement number take the 1s complement of whole number including the sign bit.

3. Twos Complement RepresentationThe twos complement of a binary number involves inverting all bits and adding 1.To find the negative of a signed number take the 2s the 2s complement of the positive number including the sign bit.

The rule for addition is add the two numbers, including their sign bits, and discard any carry out of the sign (leftmost) bit position. Numerical examples for addition are shown below.Example:+ 600000110- 611111010 +1300001101+1300001101 +1900010011+700000111

+600000110-611111010 -1311110011-1311110011 -711111001-1911101101In each of the four cases, the operation performed is always addition, including the sign bits.Only one rule for addition, no separate treatment of subtraction. Negative numbers are always represented in 2s complement. Sign addition in 2s complement

Arithmetic SubtractionA subtraction operation can be changed to an addition operation if the sign of the subtrahend is changed.(A) - (+B) = (A) + (-B)(A) - (-B) = (A) + (+B)

Arithmetic SubtractionConsider the subtraction of (-6) - (-13) = +7. In binary with eight bits this is written as 11111010 - 11110011. The subtraction is changed to addition by taking the 2s complement of the subtrahend (-13) to give (+13). In binary this is 11111010 + 00001101 = 100000111.

Removing the end carry, we obtain the correct answer 00000111 (+ 7).

OverflowThe detection of an overflow after the addition of two binary numbers depends on whether the considered numbers are signed or unsigned. When two unsigned numbers are added, an overflow is detected from the end carry out of the most significant position. In the case of signed numbers, the leftmost bit always represents the sign, and negative numbers are in 2s complement form. When two signed numbers are added, the sign bit is treated as part of the number and the end carry does not indicate an overflow.

OverflowOverflow example:

+70 0 1000110-70 1 0111010 +80 0 1010000-80 1 0110000 = +150 1 0010110 =-150 0 1101010

OverflowAn overflow cannot occur after an addition if one number is positive and the other is negative, since adding a positive number to a negative number produces a result that is smaller than the larger of the two original numbers.

An overflow may occur if the two numbers added are both either positive or negative.

Floating-Point Representation+ 6132.789 is represented in floating-point with a fraction and an exponent as follows:

Fraction Exponent +0.6132789 +04

Scientific notation : + 0.6132789 10+4

Floating-Point RepresentationFloating point is always interpreted as: m reFloating point binary number uses base 2 for the exponent.

For example: Binary number +1001.11 Fraction(8 bits) Exponent (6 bits)01001110 000100

The fraction has a 0 in the leftmost position to denote positive.m 2e = + (.1001110)2 2+4

Floating-Point RepresentationA floating-point number is said to be normalized if the most significant digit of the mantissa is nonzero.

For example: (1) 350 is normalized but 00035 is not.(2) The 8-bit binary number 00011010 is not. It can be normalized by shifting to obtain 11010000. The three shifts multiply the number by 238. To keep the same value for floating-point number, the exponent must be subtracted by 3.

Floating-Point Representation32-bit floating point format.Leftmost bit = sign bit (0 positive or 1 negative).Exponent in the next 8 bits. Use a biased representation.Final portion of word (23 bits in this example) is the significand (sometimes called mantissa).

ExampleConvert the following number;37.75 into floating point format to fit in 32 bit register.Convert the number from decimal into binary100101.11Normalize all digits including the fraction to determine the exponent.1.0010111 x 25

signsignEXPEXPSignificant

0000001010010111

0000000000000000

**