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Page 1: Chpter 2 4Jun2014

Chapter 2

Page 2: Chpter 2 4Jun2014

Number System

Number system

Base conversion

Why Learn Number System

Arithmetic

Sign Number

BCD and ASCII codes

Page 3: Chpter 2 4Jun2014

Number Systems

Is an ordered set of symbols, called

digits.

Has relationship between digits:- (+) (-

)(/)(x)

Radix (r) or base, of the number system

is the total number of single digits

allowed in the number system.

Page 4: Chpter 2 4Jun2014

4 number systems commonly used in digital

system design and computer programming are:

Decimal ~> r = 10

Binary ~> r = 2

Octal ~> r = 8

Hexadecimal ~> r = 16

Decimal number system has 10 basic (base)

digits:-

These are the only digits allowed to be used

repetitively to represent an amount in

decimal system.

Page 5: Chpter 2 4Jun2014

As such, binary, octal and hexadecimal has

these symbols as their base digits:-

Binary (r = 2) : (commonly called bits)

Octal (r = 8) :

Hexadecimal (r = 16) :

Page 6: Chpter 2 4Jun2014

Nu

mb

er

rep

rese

nta

tio

n fo

r 1

st1

7 v

alu

e o

f d

iffe

ren

t

rad

ix.

R = 10 R = 8 R = 2 R = 16

0 0 0 0

1 1 1 1

2 2 10 2

3 3 11 3

4 4 100 4

5 5 101 5

6 6 110 6

7 7 111 7

8 10 1000 8

9 11 1001 9

10 12 1010 A

11 13 1011 B

12 14 1100 C

13 15 1101 D

14 16 1110 E

15 17 1111 F

16 20 10000 10

Page 7: Chpter 2 4Jun2014

Why learn number

systems??? Computers only understand binary (e.g.

1=HIGH/ON; 0=LOW/OFF)

Number systems are used to represent the

binary number.

For e.g.:

Colors (WWW, Photoshop/GIMP etc)

Assembly language

Imagine writing “111111111111111111111111” for

color white instead of “FFFFFF” or

“255,255,255”.

Page 8: Chpter 2 4Jun2014

Number may have both integer and fractional

part, which are separated by a radix point (.).

Number may also be represented in

positional or polynomial notations.

Positional Notation

Digit’s position indicates its relative weight or

significance.

N=(an-1an-2 … a1a0 . a-1a-2 … a-m )r

Most significant digit Least significant digit

Page 9: Chpter 2 4Jun2014

Polynomial Notation

123.35 = 100 + 20 + 3 + 0.3 +0.05

= 1 x 100 + 2 x 10 + 3 x 1 + 3 x 0.1 + 5 x

0.01

= 1 x 102 + 2 x 101 + 3 x 100 +3 x 10-1 + 5 x

10-2

• Each digit resides in a weighted position

• The weight of each position is a power of the radix

(radix 10 in this case)

N = ai ri

i=-m

n-1

Page 10: Chpter 2 4Jun2014

Eg:

1011.112 =

1x23 + 0x22 + 1x21 + 1x20 +1x2-1 + 1x2-2

Page 11: Chpter 2 4Jun2014

Base Conversion

Base r Decimal

The conversion of a number in base r to

decimal is done by expanding the number in

polynomial notation and adding all the terms,

e.g convert (101)2 to decimal system:

(101)2 = 1x22 + 0x21 + 1x20

= (5)10

Page 12: Chpter 2 4Jun2014

Convert (274)8 to base 10

Convert (1F.3)16 to base 10

Page 13: Chpter 2 4Jun2014

Decimal Base r

Two methods: Integer part

Fractional Part

Integer Part

divide the number and all successive quotients by

r and then groups the remainders.

E.g: convert (41)10 to binary:

Page 14: Chpter 2 4Jun2014

41 Remainder

41/2 = 20 1

20/2 = 10 0

Successive quotient 10/2 = 5 0

(quotient must be whole 5/2 = 2 1

number) 2/2 = 1 0

1/2 = 0 1

1 0 1 0 0 1

MSB LSB

Thus , (41)10 = (101001)2

Page 15: Chpter 2 4Jun2014

Fractional Part

multiply the number by r and group the integers

instead of remainders.

new fraction is then multiplied by r again to obtain

another integer and new fraction. The procedure

is repeated until the fraction becomes 0 or the

number of digits has sufficient accuracy

E.g. Convert (0.6875)10 to binary:

Page 16: Chpter 2 4Jun2014

Integer Fraction Coefficient

0.6875 x 2 =

1.3750

1 + 0.3750 a-1 = 1

0.3750 x 2 =

.7500

0 + 0.7500 a-2 = 0

0.7500 x 2 =

1.500

1 + 0.5000 a-3 = 1

0.5000 x 2 =

1.000

1 + 0.0000 a-4 = 1

Therefore, (0.6875)10 = (0.1011)2

Zero fraction

Page 17: Chpter 2 4Jun2014

Base Conversion (Binary-Octal-

Hex)

To convert a binary number to octal or

hexadecimal, we can partition and group

binary numbers to three digits (for binary

octal) and four digits

(binaryhexadecimal) starting from the radix

point.

E.g. convert 10110001101011.1111001 to

octal and hexadecimal system.

Page 18: Chpter 2 4Jun2014

Partition & group

to 3 bits: 0 10 110 001 101 011 . 111 100 100

Octal equivalent

of each binary

group

: 2 6 1 5 3 . 7 4 4

So, (10110001101011.11110010)2 = (

26153.744)8

Binary Octal

Page 19: Chpter 2 4Jun2014

Binary Hexadecimal

Partition & group

to 4 bits: 0010 1100 0110 1011 . 1111 0010

Hexadecimal

equivalent of each

binary group

: 2 C 6 B . F 2

So, (10110001101011.11110010)2 = (

2C6B.F2)16

Page 20: Chpter 2 4Jun2014

Hexa, Octal Binary

To convert from Hexadecimal or Octal system

to Binary system, reverse the process above:

Convert each hexadecimal digit into 4 bits binary

number. The number in Hexadecimal system and

the Binary system must be equivalent when

converted in Decimal system.

Convert each octal digit into 3 bits binary number.

The number in Octal system and the Binary

system must be equivalent when converted in

Decimal system.

Page 21: Chpter 2 4Jun2014
Page 22: Chpter 2 4Jun2014

Intro

Example of Decimal Addition

11 8

+ 1 9

3 7

Example of Decimal Subtraction

1 108

- 9

9

8+9 = 7 carry 1

borrow

Page 23: Chpter 2 4Jun2014

Binary Addition/Subtraction

Addition Table

A + B

Subtraction Table

A - B

A B Carry

0 0 0 0

0 1 1 0

1 0 1 0

1 1 0 1

A B Subt Borro

w

0 0 0 0

1 1 0 0

1 0 1 0

0 1 1 1

1 1

+ 1

1 0

100

- 1

1

Page 24: Chpter 2 4Jun2014

Binary Addition ExampleAdd the four numbers:

(101101)2, (110101)2, (001101)2 and (010001)2

1,1 1 1,10 1 11 0 1

1 1 0 1 0 1

0 0 1 1 0 1

+ 0 1 0 0 0 1

1 0 0 0 0 0 0 0

Note:

1 + 1 + 1 + 1 = 100

Page 25: Chpter 2 4Jun2014

Binary Subtraction ExampleSubtract (10111)2 from (1001101)2

11100 100 01

1001 100 1

- 1 0 1 1 1

1 1 0 1 1 0

Page 26: Chpter 2 4Jun2014

Binary Multiplication/Division

Multiplication Table

A × B

Division

Follows the same as

division in decimalA B

0 0 0

0 1 0

1 0 0

1 1 1

Page 27: Chpter 2 4Jun2014

Binary Multiplication ExampleMultiply (10111)2 by (1010)2

1 0 1 1 1

× 1 0 1 0

10 0 0 0 0

11 0 1 1 1

10 0 0 0 0

1 0 1 1 1

1 1 1 0 0 1 1 0

Page 28: Chpter 2 4Jun2014

Binary Division ExampleDivide (1110111)2 by (1001)2

1 1 0 1

1 0 0 1 1 1 1 0 1 1 1

1 0 0 1

1 0 1 1

1 0 0 1

1 0 1 1

1 0 0 1

1 0 Remainder

Page 29: Chpter 2 4Jun2014
Page 30: Chpter 2 4Jun2014

Signed Binary Numbers

So far, we have only considered unsigned numbers. But digital systems must be able to handle positive and negative numbers.

Signed numbers consists of sign and magnitude info.

Sign = 0 +ve

Sign = 1 -ve

Three forms: Sign magnitude

1’s complement

2’s complement

Sign Magnitude Representation

Page 31: Chpter 2 4Jun2014

Sign-Magnitude Form

Simple, but least used.

Left most bit sign bit. The rest are

magnitude

For eg, +25 in 8-bit sign-magnitude form:

And -25 in the same form:

-ve number has the same magnitude bits as

+ve, but sign bit =1.

0 0 0 1 1 0 0 1

1 0 0 1 1 0 0 1

Page 32: Chpter 2 4Jun2014

1’s Complement Form

+ve numbers is represented the same

as in sign magnitude form

-ve numbers is the 1’s complement of

the positive number (invert all bits)

For eg, +25 in 8-bit 1’s complement:

-25 in 8-bit 1’s complement:

0 0 0 1 1 0 0 1

0 0 0 1 1 0 0 1 +25

Invert bits

1 1 1 0 0 1 1 0 -25

Page 33: Chpter 2 4Jun2014

2’s Complement Form

+ve numbers is represented the same

as in sign magnitude form

-ve numbers is the 2’s complement of

the positive number (1’s comp. than add

1)

For eg, +25 in 8-bit 2’s complement:

-25 in 8-bit 2’s complement:

0 0 0 1 1 0 0 1

0 0 0 1 1 0 0 1 +25

1 1 1 0 0 1 1 0 1’s comp.

1 1 1 0 0 1 1 1 -25

Page 34: Chpter 2 4Jun2014

Decimal Number Value of

Signed Numbers

Sign Magnitude

Sign bit and calculate decimal of magnitude

1’s complement

Add terms in polynomial form with –ve

weight on the sign bit. Then, plus 1

2’s complement

Add terms in polynomial form with –ve

weight on the sign bit.

Page 35: Chpter 2 4Jun2014

Decimal Number Value of

Signed Numbers (cont.)

Determine the decimal value of the 8-bit binary

signed number 10010101 expressed in:

a) Sign magnitude form

b) 1’s complement form

c) 2’s complement form

Page 36: Chpter 2 4Jun2014

Decimal Number Value of

Signed Numbers (cont.)a) 10010101 as Sign magnitude

Sign bit = 1, so negative

Magnitude = 0010101.

= - (16 + 4 + 1)

= - 21

0 0 1 0 1 0 1

26 25 24 23 22 21 20

0 0 1 × 24 0 1 × 22 0 1 × 20

Page 37: Chpter 2 4Jun2014

Decimal Number Value of

Signed Numbers (cont.)b) 10010101 as 1’s complement form

= -128 + 16 + 4 + 1 + 1

= -106

1 0 0 1 0 1 0 1

-27 26 25 24 23 22 21 20

1 × -27 0 0 1 × 24 0 1 × 22 0 1 × 20

Negative weight

for sign bit

Page 38: Chpter 2 4Jun2014

Decimal Number Value of

Signed Numbers (cont.)c) 10010101 as 2’s complement form

= -128 + 16 + 4 + 1

= -107

1 0 0 1 0 1 0 1

-27 26 25 24 23 22 21 20

1 × -27 0 0 1 × 24 0 1 × 22 0 1 × 20

Negative weight

for sign bit

Page 39: Chpter 2 4Jun2014

Signed Numbers Arithmetic

Only 2’s complement will be discussed since

it is the most widely used.

Range of 2’s complement signed number:

Range = -(2n-1) to (2n-1 – 1); n=no. of bits

For n=8,

Range = -128 to 127

= (10000000)2cns to (01111111)

2cns

Page 40: Chpter 2 4Jun2014

Signed Numbers Arithmetic (cont.)

Addition (A = B + C)

a) Both positive numbers

b) Positive number > negative number

c) Negative number > positive number

d) Both negative

Page 41: Chpter 2 4Jun2014

Signed Numbers Arithmetic (cont.)

a) Both positive numbers

addition

7 + 4

b) +ve > -ve numbers

15 +(- 6)

0 0 0 0 0 1 1 1

+ 0 0 0 0 0 1 0 0

0 0 0 0 1 0 1 1

0 0 0 0 1 1 1 1

+ 1 1 1 1 1 0 1 0

1 0 0 0 0 1 0 0 1

Discard carry

Page 42: Chpter 2 4Jun2014

Signed Numbers Arithmetic (cont.)

c. -ve > +ve number

16 + -24

d) Both –ve numbers

- 5 + (-9)

0 0 0 1 0 0 0 0

+ 1 1 1 0 1 0 0 0

1 1 1 1 1 0 0 0

1 1 1 1 1 0 1 1

+ 1 1 1 1 0 1 1 1

1 1 1 1 1 0 0 1 0

Discard carry

Page 43: Chpter 2 4Jun2014

Signed Numbers Arithmetic (cont.)

Overflow condition

When two numbers added, result may exceed

the range.

Can only occur when both +ve or both –ve

numbers

Indicated by an incorrect sign bit

For eg, 8-bit binary 2’s complement,125 + 58 =

1830 1 1 1 1 1 0 1

+ 0 0 1 1 1 0 1 0

1 0 1 1 0 1 1 1

+ve plus +ve, but –ve

result

8-bit range =

-128 to 127.

But answer exceeds

Hence, OVERFLOW condition occurred

Page 44: Chpter 2 4Jun2014

Signed Numbers Arithmetic (cont.)

Subtraction (A = B – C)

Computation is treated as A = B + (-C)

Sign of C is changed by taking its 2’s complement For e.g., 8-bit binary 2’s comp:

8 – 3 = 8 + (-3)

8 = (00001000)2cns

3 = (00000011)2cns

-3 = (11111101)2cns

So, (00001000)2cns -

(00000011)2cns =

(00000101)2cns

0 0 0 0 1 0 0 0

+ 1 1 1 1 1 1 0 1

1 0 0 0 0 0 1 0 1

For e.g., 8-bit binary 2’s comp:

12 – (-9) = 12 + (9)

12 = (00001100)2cns

-9 = (11110111)2cns

9 = (00001001)2cns

So, (00001100)2cns – (11110111)2cns

=

(00010101)2cns

0 0 0 0 1 1 0 0

+ 0 0 0 0 1 0 0 1

0 0 0 1 0 1 0 1

Page 45: Chpter 2 4Jun2014
Page 46: Chpter 2 4Jun2014

Binary Coded Decimal

(BCD) A way to express EACH decimal digits (0 to

9), with binary code.

Uses 4 bits binary for each decimal digit

Invalid codes : 1010 to 1111

For e.g., Encode 159710 in BCD:

Decimal 0 1 2 3 4 5 6 7 8 9

BCD 0000 0001 0010 0011 0100 0101 0110 0111 1000 1001

1 5 9 7

0001 0101 1001 0111So, 159710 = 0001 0101 1001 0111BCD

Page 47: Chpter 2 4Jun2014

BCD Addition

1) Add the two BCD numbers as in binary

2) If 4-bit sum ≤ 9, valid number

3) If 4 bit sum > 9 OR carry generated, invalid.

Add 6 (0110BCD) to the 4-bit sum. If carry is

generated when adding 6, carry to next 4-bit

sum

Page 48: Chpter 2 4Jun2014

BCD Addition (cont.)

490 + 497

0 1 0 0 1 1 0 0 1 0 0 0 0

+ 0 1 0 0 1 0 0 1 0 1 1 1

1 0 0 1 1 0 0 1 0 0 1 1 1

+ 0 1 1 0

1 0 0 1 1 0 0 0 0 1 1 1

9 8 7

67 + 57

0 1 1 0 0 1 1 1

+ 0 1 0 1 0 1 1 1

1 1 0 1 11

1 1 1 0

+ 0 1 1 0 + 0 1 1 0

0 0 0 1 0 0 1 0 0 1 0 0

1 2 4

Page 49: Chpter 2 4Jun2014

Gray Code

Exhibits only a single bit change from

one code to the next sequence.

No specific weight assigned to bit

positions

Important for applications like shaft

position encoder that reduces error due

to high bit changes

Page 50: Chpter 2 4Jun2014

Gray Code (cont.)Decimal Binary Gray Code

0 0000 0000

1 0001 0001

2 0010 0011

3 0011 0010

4 0100 0110

5 0101 0111

6 0110 0101

7 0111 0100

8 1000 1100

9 1001 1101

10 1010 1111

11 1011 1110

12 1100 1010

13 1101 1011

14 1110 1001

15 1111 1000

Red marks bit change

Page 51: Chpter 2 4Jun2014

American Standard Code for

Information Interchange (ASCII)

Alphanumeric code used in most

computers and other electronics devices

Page 52: Chpter 2 4Jun2014

American Standard Code for

Information Interchange (ASCII)

Page 53: Chpter 2 4Jun2014

American Standard Code for

Information Interchange (ASCII)