chapter 3 000Number_Systems.ppt

NUMBER SYSTEM
1
By,
T.Kalaiselvi, AP(SLG-I) / CSE

Relation between binary number
system and others
Binary and Decimal
• Converting a decimal number into binary (decimal 
binary)
 Divide the decimal number by 2 and take its remainder
 The process is repeated until it produces the result of 0
 The binary number is obtained by taking the remainder from
the bottom to the top

Example: Decimal  Binary
5310
=> 53 / 2 = 26 remainder 1
26 / 2 = 13 remainder 0
13 / 2 = 6 remainder 1
= 1101012
(6 bits)
= 001101012
(8 bits)
(note: bit = binary digit)
Read from
the bottom
to the top

0.8110  binary???
0.8110
=> 0.81 x 2 = 1.62
0.62 x 2 = 1.24
0.24 x 2 = 0.48
0.48 x 2 = 0.96
0.96 x 2 = 1.92
0.92 x 2 = 1.84
= 0.1100112
(approximately)
0.1100112

Converting a binary number into decimal
(binary  decimal)
Multiply each bit in the binary number
with the weight (or position)
Add up all the results of the
multiplication performed
The desired decimal number is the
total of the multiplication results
performed

Example: Binary  Decimal
a)1110012
(6 bits)
(1x25
) + (1x24
) + (1x23
) + (0x22
) +
(0x21
) + (1x20
)
= 32 + 16 + 8 + 0 + 0 + 1
= 5710
b)000110102
(8 bits)
= 24
+ 23
+21
= 16 + 8 + 2
= 2610

Binary and Octal
Theorem
If base R1
is the integer power of
other base, R2
, i.e.
R1
= R2
d
e.g., 8 = 23
Every group of d digits in R2
(e.g., 3 digits)is equivalent to 1
digit in the R1
base
(Note: This theorem is used to convert
binary numbers to octal and hexadecimal
or the other way round)

• From the theorem, assume that
R1
= 8 (base-8) octal
R2
= 2 (base-2) binary
• From the theorem above,
R1
= R2
d
8 = 23
So, 3 digits in base-2 (binary) is equivalent
to 1 digit in base-8 (octal)

•From the stated theorem, the
following is a binary-octal
conversion table.
Binary Octal
000 0
001 1
010 2
011 3
100 4
101 5
110 6
111 7
In a computer
system, the
conversion from
binary to octal or
otherwise is based
on the conversion
table above.
3 digits in base-2 (binary) is equivalent to 1 digit in base-8 (octal)

Example: Binary  Octal
Convert these binary numbers into octal
numbers:
(a) 001011112
(8 bits) (b) 111101002
(8 bits)
Refer to the binary-octal
conversion table
000 101 111
= 578
0 5 7
Refer to the binary-octal
conversion table
011 110 100
= 3648
3 6 4

• The same method employed in binary-octal
conversion is used once again.
• Assume that:
R1
= 16 (hexadecimal)
R2
= 2 (binary)
• From the theorem: 16 = 24
Hence, 4 digits in a binary number is
equivalent to 1 digit in the hexadecimal
number system (and otherwise)
• The following is the binary-hexadecimal
conversion table
Binary and Hexadecimal

Binary Hexadecimal
0000 0
0001 1
0010 2
0011 3
0100 4
0101 5
0110 6
0111 7
1000 8
1001 9
1010 A
1011 B
1100 C
1101 D
1110 E
1111 F
Example:
1. Convert the following
binary numbers into
hexadecimal numbers:
(a) 001011112
Refer to the binary-
hexadecimal conversion
table above
0010 11112
= 2F16
2 F

Example: Octal  Hexadecimal
Convert the following octal numbers
into hexadecimal numbers (16 bits)
(a)658
(b) 1238
Refer to the binary-octal conversion table
68
58
110 101
0000 0000 0011 01012
0 0 3 5
= 3516
Refer to the binary-octal conversion table
18
28
38
001 010 011
0000 0000 0101 00112
0 0 5 3
= 5316
octal  binary  hexadecimal

Example: Hexadecimal  Binary
Convert the following hexadecimal
numbers into binary numbers
(a) 12B16
(b) ABCD16
Refer to the binary-hexadecimal
conversion table
1 2 B16
0001 0010 10112
(12 bits)
= 0001001010112
Refer to the binary-hexadecimal
conversion table
A B C D16
1010 1011 1101 11102
= 10101011110111102

Exercise 1
• Binary  decimal
• 001100
• 11100.011
• Decimal  binary
• 145
• 34.75
• Octal  hexadecimal
• 56558

Solution 1
•Binary  decimal
• 001100 = 12
• 11100.011 = 28.375
•Decimal  binary
• 145 = 10010001
• 34.75 = 100010.11
•Octal  hexadecimal
octal  binary  decimal  hexadecimal
• 56558
= BAD
0 x 25
+ 0 x 24
+ 1 x 23
+ 1 x 22
+ 0 x 21
+ 0 x 20
= 8 +4 = 12
145/2 = 72 (reminder 1); 72/2=36(r=0); 36/2=18(r=0);
18/2=9(r=0); 9/2=4(r=1); 4/2=2(r=0); 2/2=1(r=0); ½=0(r=1)
Octal  binary
101:110:101:101
Binary  hexadecimal
1011:1010:1101
B A D

Solution 1
•Binary  decimal
• 001100 = 12
• 11100.011 = 28.375
•Decimal  binary
• 145 = 10010001
• 34.75 = 100010.11
•Octal  hexadecimal
octal  binary  hexadecimal
• 56558
= BAD
0x2-1
+1x2-2
+1x2-3
0.75 x 2 = 1.5
0.5 x 2 = 1.0

Exercise 2
• Binary  decimal
• 110011.10011
• Decimal  binary
• 25.25
• Octal  hexadecimal
• 128
B
11001.01
51.59375

Representation of integer, character and
floating point numbers in binary
Introduction
Machine instructions operate on data. The most
important general categories of data are:
1. Addresses – unsigned integer
2. Numbers – integer or fixed point, floating point
numbers and decimal (eg, BCD (Binary Coded Decimal))
3. Characters – IRA (International Reference
Alphabet), EBCDIC (Extended Binary Coded Decimal
Interchange Code), ASCII (American Standard Code for
Information Interchange)
4. Logical Data
- Those commonly used by computer users/programmers: signed
integer, floating point numbers and characters

Integer Representation
• -1101.01012 = -13.312510
• Computer storage & processing  do not
have benefit of minus signs (-) and
periods.
 Need to represent the integer 

Signed Integer Representation
• Signed integers are usually used
by programmers
• Unsigned integers are used for
addressing purposes in the
computer (especially for
assembly language programmers)
• Three representations of signed
integers:
1. Sign-and-Magnitude
2. Ones Complement
3. Twos Complement

Sign-and-Magnitude
• The easiest representation
• The leftmost bit in the binary number
represents the sign of the number. 0 if
positive and 1 if negative
• The balance bits represent the magnitude of the
number.

Examples:
i) 8 bits binary number
__ __ __ __ __ __ __ __
7 bits for magnitude (value)
a) +7 = 0 0 0 0 0 1 1 1
(–7 = 100001112
)
b) –10 = 1 0 0 0 1 0 1 0
(+10 = 000010102
)
Sign bit
0 => +ve 1 => –ve

ii) 6 bits binary number
__ __ __ __ __ __
5 bits for magnitude (value)
a) +7 = 0 0 0 1 1 1
(–7 = 1 0 0 1 1 12
)
b) –10 = 1 0 1 0 1 0
(+10 = 0 0 1 0 1 02
)
Sign bit
0 => +ve 1 => –ve

Ones Complement
• In the ones complement representation,
positive numbers are same as that of
sign-and-magnitude
Example: +5 = 00000101 (8 bit)
 as in sign-and-magnitude representation
• Sign-and-magnitude and ones complement
use the same representation above for +5
with 8 bits and all positive numbers.
• For negative numbers, their
representation are obtained by changing
bit 0 → 1 and 1 → 0 from their positive
numbers

Example:
Convert –5 into ones complement
representation (8 bit)
Solution:
• First, obtain +5 representation
in 8 bits  00000101
• Change every bit in the number
from 0 to 1 and vice-versa.
• –510
in ones complement is
111110102

Exercise:
Get the representation of ones
complement (6 bit) for the following
numbers:
i) +710
ii) –1010
Solution:
(+7) = 0001112
Solution:
(+10)10
= 0010102
So,
(-10)10
= 1101012

Twos complement
•Similar to ones complement, its
positive number is same as sign-
and-magnitude
•Representation of its negative
number is obtained by adding 1 to
the ones complement of the number.

Example:
Convert –5 into twos complement
representation and give the answer
in 8 bits.
Solution:
First, obtain +5 representation in 8
bits  000001012
Obtain ones complement for –5
 111110102
Add 1 to the ones complement number:
 111110102
+ 12
= 111110112
–5 in twos complement is 111110112

Exercise:
• Obtain representation of twos complement (6
bit) for the following numbers
i) +710
ii)–1010
Solution:
(+7) = 0001112
(same as sign-magnitude)
Solution:
(+10) 10
= 0010102
(-10) 10
= 1101012 + 12
= 1101102
So, twos compliment

Exercise:
Obtain representation for the following
numbers
Decimal Sign-magnitude Twos complement
+7
+6
-4
-6
-7
+18
-18
-13
4 bits
8 bits

Solution:
Obtain representation for the following
numbers
Decimal Sign-magnitude Twos complement
+7 0111 0111
+6 0110 0110
-4 1100 1100
-6 1110 1010
-7 1111 1001
+18 00010010 00010010
-18 10010010 11101110
-13 11110010 11110011

Character Representation
• For character data type, its representation
uses codes such as the ASCII, IRA or EBCDIC.
Note: Students are encouraged to obtain the
codes

Floating point representation
• In binary, floating point
numbers are represented in the
form of : +S x B+E
and the number
can be stored in computer words
with 3 fields:
i) Sign (+ve, –ve)
ii) Significant S
iii) Exponent E
and B is base is implicit and
need not be stored because it is
the same for all numbers (base-
2).

chapter 3 000Number_Systems.ppt

Binary Arithmetics
1. Addition ( + )
0 + 0 = 0
0 + 1 = 1
1 + 0 = 1
1 + 1 = 10
1 + 1 + 1 = (1 + 1) + 1 = 10 + 1 = 112
Example:
i. 0101112
+ 0111102
= 1101012
ii. 1000112
+ 0111002
= 1111112
010111
011110 +
110101

2. Multiplication ( x )
0 x 0 = 0
0 x 1 = 0
1 x 0 = 0
1 x 1 = 1
3. Subtraction ( – )
0 – 0 = 0
0 – 1 = 1 (borrow 1)
1 – 0 = 1
1 – 1 = 0

4. Division ( / )
0 / 1 = 0
1 / 1 = 1

Example:
i. 0101112
- 0011102
= 0010012
ii. 1000112
- 0111002
= 0001112
Exercise:
i. 1000100 – 010010
ii. 1010100 + 1100
iii. 110100 – 1001
iv. 11001 x 11
v. 110111 + 001101
vi. 111000 + 1100110
vii. 110100 x 10
viii. 11001 - 1110

Arithmetic Operations for Ones Complement,
Twos Complement, sign-and-magnitude and
floating point number
Addition and subtraction for
signed integers
Reminder: All subtraction
operations will be changed into
addition operations
Example: 8 – 5 = 8 + (–5)
–10 + 2 = (–10) + 2
6 – (–3) = 6 + 3

Sign-and-Magnitude
Z = X + Y
There are a few possibilities:
i. If both numbers, X and Y are
positive
o Just perform the addition operation
Example:
510
+ 310
= 0001012
+ 0000112
= 0010002
= 810

ii. If both numbers are negative
o Add |X| and |Y| and set the sign bit = 1
to the result, Z
Example: –310
– 410
= (–3) + (–4)
= 1000112
+ 1001002
Only add the magnitude, i.e.:
000112
+ 001002
= 001112
Set the sign bit of the result
(Z) to 1 (–ve)
= 1001112
= –710

iii. If signs of both number differ
o There will be 2 cases:
a) | +ve Number | > | –ve Number |
Example: (–2) + (+4), (+5) + (–3)
• Set the sign bit of the –ve
number to 0 (+ve), so that both
numbers become +ve.
• Subtract the number of smaller
magnitude from the number with a
bigger magnitude

Sample solution:
Change the sign bit of the –ve number to +ve
(–2) + (+4) = 1000102
+ 0001002
= 0001002
– 0000102
= 0000102
= 210
b) | –ve Number | > | +ve Number |
• Subtract the +ve number from the –ve number
Example: (+310
) + (–510
)
= 0000112
+ 1001012
= 1001012
– 0000112
= 1000102
= –210

Ones complement
• In ones complement, it is easier than sign-
and-magnitude
• Change the numbers to its representation and
perform the addition operation
• However a situation called Overflow might
occur when addition is performed on the
following categories:
1. If both are negative numbers
2. If both are in difference sign and
|+ve Number| > | –ve Number|

Overflow => the addition result exceeds
the number of bits that was fixed
1. Both are –ve numbers
Example: –310
– 410
= (–310
) + (–410
)
Solution:
•Convert –310
and –410
into ones complement
representation
+310
= 000000112
(8 bits)
–310
= 111111002
+410
= 000001002
(8 bits)
–410
= 111110112

•Perform the addition operation
(–310
) => 11111100 (8 bit)
+(–410
) => 11111011 (8 bit)
–710
111110111 (9 bit)
11110111
+ 1
111110002
= –710
Overflow occurs. This value is called EAC and needs to be
added to the rightmost bit.
the answer

2. | +ve Number| > |–ve Number|
• This case will also cause an
overflow
Example: (–2) + 4 = (–2) + (+4)
Solution:
• Change both of the numbers above
into one’s complement
representation
–2 = 111111012
+4 = 000001002
• Add both of the numbers
(–210
) => 11111101 (8 bit)
+ (+410
) => 00000100 (8 bit)
There is an EAC
+210
100000001 (9 bit)

•Add the EAC to the rightmost bit
00000001
+ 1
000000102
= +210
the answer
Note:
For cases other than 1 & 2 above, overflow does not occur
and there will be no EAC and the need to perform addition to
the rightmost bit does not arise

Twos Complement
Addition operation in twos complement is same
with that of ones complement, i.e. overflow
occurs if:
1. If both are negative numbers
2. If both are in difference and |+ve Number|
> |–ve Number|

Both numbers are –ve
Example: –310
– 410
= (–310
) + (–410
)
Solution:
•Convert both numbers into twos
complement representation
+310
= 0000112
(6 bit)
–310
= 1111002
(one’s complement)
–310
= 1111012
(two’s complement)
–410
= 1110112
(one’s complement)
–410
= 1111002

111100 (–310
)
111011 (–410
)
= 1110012
= –710
•Perform addition operation on both
the numbers in twos complement
representation and ignore the EAC.
1111001
Ignore the
EAC
The answer

Note:
In two’s complement, EAC is
ignored (do not need to be added
to the leftmost bit, like that of
one’s complement)

2. | +ve Number| > |–ve Number|
Example: (–2) + 4 = (–2) + (+4)
Solution:
•Change both of the numbers above
into twos complement representation
–2 = 1111102
+4 = 0001002
•Perform addition operation on both
numbers
(–210
) => 111110 (6 bit)
+ (+410
) => 000100 (6 bit)
+210
1000010
Ignore the EAC

The answer is 0000102
= +210
Note: For cases other than 1 and 2
above, overflow does not occur.
Exercise:
Perform the following arithmetic
operations in ones complement and also
twos complement
1. (+2) + (+3) [6 bit]
2. (–2) + (–3) [6 bit]
3. (–2) + (+3) [6 bit]
4. (+2) + (–3) [6 bit]
Compare your answers with the stated
theory

chapter 3 000Number_Systems.ppt

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