logic design and switching theory

ECE103 Logic Design and Switching Theory

Text: Digital Design by Text: Digital Design by M. Morris Mano, 2M. Morris Mano, 2ndnd Edition Edition

Prentice-Hall International, Inc.Prentice-Hall International, Inc.

Course Description• This course presents the basic tools for

the design of digital circuits and provides methods and procedures suitable for a variety of digital design applications.

Course Pre-requisites• Physics 12 General Physics 3

– (Electricity and Magnetism)

Course Content

• Binary Systems• Boolean Algebra and Logic Gates• Simplification of Boolean Functions• Combinational Logic• MSI and PLD Components• Synchronous Sequential Logic• Registers, Counters, and the Memory Unit• Algorithmic State Machines (ASM)• Asynchronous Sequential Logic• Digital Integrated Circuits• Laboratory Exercises

Expectations• Upon successful completion of this course, • You shall be able to:• understand the nature of various numbering systems• gain familiarity with the theorems and properties of

Boolean algebra – the basis of logic design• Understand and gain familiarity with Boolean functions

and logic gate design (the basic tools!)• apply simplification techniques to Boolean functions (to

be able to design optimal/ ‘minimal’ circuits)• design and implement combinational circuits (obtain

logical functions by combining various circuits)• design and implement sequential circuits (Synchronous -

feedback signals and Asynchronous – timing/events)

Grades:• There will be surprise short quizzes, preliminary

exam, midterm exam, and a final exam. Laboratory activities will be included in the final grade. Nature Tentative

Date% of Final

GradePrelim Exam

Midterm Exam

Final Exam

Homework/Qz/Lab

One Project

In-class, close book & notes

In-class, close book & notes

In-class, close book

Queuing Counter

December

February

March

25%

25%

25%

15%10%

Courtesy and Etiquette in Class• Much as I sympathize at the inconvenient timing

of the lectures, please eat your meals/snacks before the lecture. Other than a (non-alcoholic) beverage, NO FOOD IS ALLOWED during lectures.

– It causes distraction to both the instructor and surrounding students, and it prevents the eater from paying full attention to the lecture. Any person eating in class will be asked to leave.

• I also asked you to avoid going out of the room frequently when the class starts proper except of course for emergency cases.

Grades Appeals / Academics Dishonesty

Academic dishonesty will not be tolerated. Any student found to have participated in academic dishonesty will receive a “5.0” in the course, and maybe subject to disciplinary action.

The State Institute’s Code of Conduct prohibits students from committing the following acts of academic dishonesty: academic fraud, copying or allowing one’s work to be copied, fabrication/falsification, sabotage of other’s work, substitution (ex., taking an exam for someone else).

Course Content

I. Binary SystemsII. Boolean Algebra and Logic GatesIII. Simplification of Boolean FunctionsIV. Combinational LogicV. MSI and PLD ComponentsVI. Synchronous Sequential LogicVII. Registers, Counters, and the Memory UnitVIII. Algorithmic State Machines (ASM)IX. Asynchronous Sequential LogicX. Digital Integrated CircuitsXI. Laboratory Exercises

More…• A bit more clear please!…• We will understand how digital circuits work and how we

can design them• What are digital circuits?• What is a ‘digital computer’?

• DIGIT: from Latin ‘digitus’ = finger. ‘Any of the Arabic numerals from 0-9’. ‘One of the elements that combine to form numbers in a system other then the decimal one’.

• DIGITAL: ‘of/relating to/using calculation by numerical methods or by discrete units’. ‘relating to data in the form of numerical digits’

Chapter 1: Binary Systems

• Digital Computers and Digital Systems• Binary Numbers• Number Base Conversions• Octal and Hexadecimal Numbers• Complements• Signed Binary Numbers• Binary Codes• Binary Storage and Registers• Binary Logic

Why is it named ‘digital’?

• Early computers were used mainly to perform numeric computations

• They used discrete elements of information: digits

• DIGITAL SYSTEMS: manipulate discrete elements of information (finite sets)

• E.g. the 10 decimal digits, the 26 letters of the alphabet, 64 squares of chess board)

Digital Computers and Digital Systems

TODAY

• Computers are used in a variety of applications such as scientific calculations, commercial, and business data processing, air traffic controls, space guidance, educational field among others.

• Digital computers have made possible many scientific, industrial, and commercial advances that would have been unattainable otherwise.


Computers can follow a sequence of instruction called program, that operates on given data.

General-purpose digital computer is the best-known example of a digital system.

Others are:– Telephone switching exchanges, digital

voltmeters, digital counters, electronic calculators, and digital displays.


Introduction:

Characteristic of a Digital system is its manipulation of discrete elements of information.

Such discrete elements maybe:

electric impulses, decimal digits, letters of an alphabet, arithmetic operations, punctuation marks, or any set of meaningful meanings.


Discrete elements of information are represented in a digital system by physical quantities called SIGNALS.

Voltages and currents are the most common electrical signals.

Signals in the present day of electronic digital systems have only two discrete values and are said to be BINARY.

Beyond the digital computer…

• Digital devices (camcorders, DVDs, TV, phones, microprocessor-based devices)

Why Digital Circuits?• Digital devices are programmable – by simply

changing the program the same hardware can be used for different applications

• Advances in digital integrated circuits technology – accuracy, reliability (DVD)

• Digital systems are interconnections of digital modules

Digital circuits

• What digital modules in digital systems are made of

• Each digital circuit implements a logical function

• Combination of digital circuits form a more complex logical function (of the module)

• Combinations of modules – function of devices

• We will study different types of digital circuits and learn to analyze their functionality and ultimately how to design digital circuits that accomplish a desired logical function

Digital Computers and Digital SystemsFigure 1.1

Block diagram of a digital computer

Processor, or Arithmetic Unit

Storage, or Memory Unit

Input Devices

and Control

Output Devices

and Control

Control Unit

How does a computer work?

• Memory unit: – Stores program as well as input, output, and

the intermediate data.

• Processor unit:– Performs the arithmetic and other data

processing tasks as specified by a program


• Control unit:– Supervises the flow of information between the

various units

– It retrieves the instructions, one by one, from the program that is stored in the memory

– For each instruction, the control unit informs the processor to execute the operation specified by the instructions & the processor manipulates the data as specified by the program.


• The program and data prepared by the user are transferred into the memory unit by means of the input device such as keyboard

• Output device such as printer receives the results of the computations & printed results are presented to the user.


1-2 BINARY NUMBERS:

Decimal

Decimal number 7392 is represented by: 7 x 103

+ 3 x 102 + 9 x 101 + 2 x 100

Represented in series of coefficients: a5a4a3a2a1a0.a-1a-2a-3


1-2 BINARY NUMBERS:

Decimal

The aj coefficients are one of the ten digits (0, 1, 2,…,9)

105a5 + 104a4 + 103a3 + 102a2 + 101a1 + 100a0 + + 10-

1a-1 + 10-2a-2 + 10-3a-3

The decimal number system is said to be of base, or radix, 10 because it uses ten digits and the coefficients are multiplied by powers of 10.

1-2 BINARY NUMBERS:

• The binary system is different with the decimal system having only two possible values: 0 and 1.

• Each coefficient aj is multiplied by 2j. • For example: 11010.11 is 26.75 in decimals, shown from

the multiplication of the coefficients by powers of 2:

• 1x24 + 1x23 + 0x22 + 1x21 + 0x20 + 1x2-1 + 1x2-2 = 26.75

1-2 Binary Numbers

• In general, a number expressed in base-r system has coefficients multiplied by powers of r:

• The coefficients aj range in value from 0 to r - 1.

• Example: (4021.2)5 = 4x53 + 0x52 +2x51 + 1x50 +2x5-1 = (511.4)10

• Note that coefficients for base 5 can be only 0, 1, 2, 3, and 4.

1-2 Binary Numbers

• For hexadecimal, the letters of the alphabet are use to supplement the ten decimal digits when the base of the number is greater than 10.

• Letters A, B, C, D, E and F are used for digits 10, 11, 12, 13, 14 and 15 respectively.

Binary Numbers

As an example:

(B65F)16 = 11 x 163 + 6 x 162 + 5 x 16 + 15

• Arithmetic operations with numbers in base r follow the same rules as for decimal numbers.

• When other than the familiar base 10 is used, one must be careful to use only the r allowable digits.

Addition and Multiplication of Binary

Addition:

Augend: 101101

Addend: 100111

Sum: 1010100


Subtraction:

Minuend: 101101

Subtrahend: 100111

Difference: 000110


Multiplication:Multiplicand: 1011

Multiplier: x 1011011

0000 1011 110111

1-3 Number Base Conversions

• A binary number can be converted to a decimal by forming the sum of the powers of 2 of those coefficients whose value is 1.

Example:

(1010.011)2 = 23 + 21 + 2-2 + 2-3

= (10.375)10

• The binary number has four 1’s and the decimal equivalent is found from the sum of four powers of 2.


• The following is an example of Octal-to-decimal conversion:(630.4)8 = 6 x 82 + 3 x 8 + 4 x 8-1

• The conversion from decimal to binary or to any other base-r system is more convenient if the number is separated into an integer part and a fraction part and the conversion of each part done separately.


• Convert decimal 41 to binary.– Follow these simple steps:

• To do this, divide 41 by 2 to give an integer quotient of 20 and a remainder of ½.

• The quotient is again divided by 2 to give a new quotient and remainder.

• This process is continued until the integer quotient becomes 0.

(The process should be shown on the board)


• Convert decimal 153 to octal.– Follow these simple steps:

• The required base r is 8.

• First, divide 153 by 8 to give an integer quotient of 19 and a remainder of 1.

• Then divide 19 by 8 to give a quotient of 2 and a remainder of 3.

• Finally, 2 is divided by 8 to give a quotient of 0 and a remainder of 2.

(Process continued on the board)

• Convert (0.513) to octal.– 0.513 x 8 = 4.104– 0.104 x 8 = 0.832– 0.832 x 8 = 6.656– 0.656 x 8 = 5.248– 0.248 x 8 = 1.984– 0.984 x 8 = 7.872

• The answer, to seven significant figures, is obtained from the integer part of the products: (0.513)10 = (0.406517…)8


• Convert (0.6875)10 to binary.

INTEGER FRACTIONCOEFFICIENTS

– 0.6875 x 2 = 1 + 0.3750 a-1 = 1

– 0.3750 x 2 = 0 + 0.7500 a-2 = 0

– 0.7500 x 2 = 1 + 0.5000 a-3 = 1

– 0.5000 x 2 = 1 + 0.0000 a-4 = 1

Answer: (0.6875)10 = (0.a-1a-2a-3a-4)2 = (0.1011)2


1-4 OCTAL Numbers

• Conversion of binary to octal:– 10110001101011.111100000110)2

– 10 110 001 101 011 . 111 100 000 110 =

– (26153.7460)8

2 6 1 5 3 7 4 0 6

1-4 Hexadecimal Numbers

• Conversion of binary to octal:– 10110001101011.111100000110)2

– 10 1100 0110 1011 . 1111 0010 =

– (2C6B.F2)16

2 C 6 B F 2

1-5 COMPLEMENTS

• Complements are used in digital computers for simplifying the subtraction operation and for logical manipulation. There are two types of complements for each base-r system:

• RADIX COMPLEMENT (or R’s Complement)

• DIMINISHED RADIX COMPLEMENT (or (R-1)’s complement).

– Also, it could be the 2’s and 1’s complement for the binary system.

– And, 10’s and 9’s complement for decimal numbers.

1-5 COMPLEMENTS

• DIMINISHED RADIX Complement for DECIMAL– Given a number N in base r having n digits, the (r-1)’s

complement of N is defined as (rn – 1) – N.

– For decimal numbers, r = 10 and r – 1 = 9, so the 9’s complement of N is (10n – 1) – N.

– 10n represents a number that consists of a single 1 followed by n 0’s.

– 10n – 1 is a number represented by n 9’s.• For example, if n=4, we have 104 = 10,000 and 104 -1 = 9999

1-5 COMPLEMENTS

• It follows that the 9’s complement of a decimal number is obtained by subtracting each digit from 9.– Example:

• The 9’s complement of 546700 is 999999 – 546700 = 453299

• The 9’s complement of 012398 is 999999 – 012398 = 987601

1-5 COMPLEMENTS

• For binary numbers, r = 2 and r – 1 = 1, so the 1’s complement of N is (2n – 1) – N.

• 2n is represented by a binary number that consists of a 1 followed by n 0’s.

• 2n – 1 is a binary number represented by n 1’s.

1-5 COMPLEMENTS

• For example, if n = 4, we have 24 = (10,000)2 and 24 – 1 = (1111)2.

• Thus the 1’s complement of a binary number is obtained by subtracting each digit from 1.

• But when subtracting binary digits from 1, we can have either 1 – 0 = 1 of 1 – 1 = 0, which causes the bit to change from 0 to 1of from 1 to 0.

• Therefore, the 1’s complement of a binary number is formed by changing 1’s to 0’s and 0’s to 1’s.

1-5 COMPLEMENTS

• Example

– The 1’s complement of 1011000 is 0100111.– The 1’s complement of 0101101 is 1010010.

The (r – 1)’s complement of octal or hexadecimal numbers is obtained by subtracting each digit from 7 or F (decimal 15), respectively.

1-5 COMPLEMENTS• RADIX Complement

–The r’s complement of an n-digit number N in base r is defined as rn – N for N = 0 and 0 for N=0.

–The r’s complement is obtained by adding 1 to the (r – 1)’s complement since rn – N = [(rn – 1) – N] + 1.

1-5 COMPLEMENTS

• Example (Decimal)–10’s complement of 012398 is 987602.

–10’s complement of 246700 is 753300.

1-5 COMPLEMENTS

• Radix Complements

–Example for BINARY:• The 2’s complement of 1101100 is 0010100.

• The 2’s complement of 0110111 is 1001001.

1-5 COMPLEMENTS

• Subtraction with complements

– Similar to the subtraction done in elementary, in this method, we borrow a 1 from a higher significant position when the minuend digit is smaller than the subtrahend digit.

1-5 COMPLEMENTS

• Subtraction with complements– The subtraction of two n-digit unsigned

numbers M – N in base r can be done as follows:1. Add the minuend M to the r’s complement of the

subtrahend. This performs M + (rn – N) = M – N + rn.

2. If M > N, the sum will produce an end carry, rn, which is discarded; what is left is the result M – N.

1-5 COMPLEMENTS

• Subtraction with complements3. If M < N, the sum does not produce an end

carry and is equal to rn – (N – M), which is the r’s complement of (N – M). To obtain the answer in familiar form, take the r’s complement of the sum and place a negative sign in front.

1-5 COMPLEMENTS

Example 1: Using 10’s complement, subtract 72532 – 3250.

M = 72532

10’s complement of N = + 96750

Sum = 169282

Discard the end carry 105 = -100000

ANSWER = 69282

1-5 COMPLEMENTS

Example 1: Using 10’s complement, subtract 3250 - 72532.

M = 03250

10’s complement of N = + 27468

Sum = 30718

There is no end carry.

Answer: -(10’s complement of 30718) = -69282

NOTE that since 3250 < 72532, the result is negative.

1-5 COMPLEMENTS

Example 1: Given the two binary numbers X = 1010100 and Y = 1000011, perform the subtraction (a) X – Y and (b) Y – X using 2’s complements.

(a) X = 1010100

2’s complement of Y = + 0111101

Sum = 10010001

Discard the end carry 27 = -10000000

Answer: X – Y = 0010001

1-5 COMPLEMENTS

(b) Y = 1000011

2’s complement of X = + 0101100

Sum = 1101111

There is no end carry.

Answer: Y- X = -(2’s complement of 1101111) = -0010001

Subtraction of unsigned numbers can be done also by means of the (r-1)’s complement.

1-5 COMPLEMENTS

Example 1-8: Repeat example 1-7 using 1’s complement.

(a) X – Y = 1010100 – 1000011X = 1010100

1’s complement of Y = + 0111100

Sum = 10010000

End-around carry +1

Answer: X – Y = 0010001

1-5 COMPLEMENTS

Example 1-8: Repeat example 1-7 using 1’s complement.

(b) Y – X = 1000011 – 1010100 Y = 1000011

1’s complement of X = + 0101011Sum = 1101110

There is no end carry.Answer: Y – X = -(1’s complement of

1101110) = -0010001

1-6 SIGNED Binary Numbers

• Positive integers including zero can be represented as unsigned numbers. But to represent negative integers, we need a notation for negative values.

• In ordinary arithmetic, – a negative number is indicated by a minus sign– A positive number is indicated with a plus sign


• Due to hardware limitations, computers must represent everything with binary digits, commonly referred to as BITS.

• It is customary to represent the sign with a bit placed in the leftmost position of the number for binary numbers.– The convention is to make the sign bit 0 for

positive– And 1 for negative


• We should realize that both signed and unsigned binary numbers consist of a string of bits when represented in a computer.

• The user determines whether the number is signed or unsigned.

• If the binary number is signed, then the leftmost bit represents the sign and the rest of bits represent the number


• Example the string of bits 01001– Can be considered as 9 for unsigned binary– Or a +9 for signed binary

• Another example, 11001– Can be interpreted as 25 when unsigned, or– As - 9 when considered as a signed number.

There should be no confusion in identifying the bits if the type of representation for the number is known in advance.


• The representation of the signed numbers is referred as the SIGNED – MAGNITUDE Convention.

• In this notation, the number consists of a Magnitude and Symbol ( + or - ) or a BIT (0 or 1) indicating the sign.

• When arithmetic operations are implemented in a computer, it is more convenient to use a different system for representing negative numbers, referred to as the SIGNED COMPLEMENT System.


• SIGNED COMPLEMENT System– In this system, a negative number is

indicated by its complement

– The signed complement system can either use the 1’s or 2’s complement, but the 2’s complement is the most common.


• Example:Consider the number 9 represented in

binary with eight bits

+ 9 is represented with a sign bit of 0 in the leftmost position followed by the binary equivalent of 9 to give 00001001.


• Example: While there is only one way to represent

+ 9, there are three different ways to represent – 9 with eight bits:

In signed-magnitude representation: 10001001

In signed-1’s complement representation:11110110

In signed-2’s complement representation:11110111


• In signed-magnitude, - 9 is obtained from + 9 by changing the sign bit in the leftmost position from 0 to 1.

• In signed - 1’s complement, - 9 is obtained by complementing all the bits of +9, including the sign bit.

• In signed - 2’s complement, -9 is obtained by taking the 2’s complement of the positive number, including the sign bit.


• The signed-magnitude system is used in ordinary arithmetic, but is awkward when employed in computer arithmetic.

• Therefore, the signed-complement is normally used.

• The 1’s complement presents some difficulties and is seldom used for arithmetic operations and the signed binary arithmetic deals more with the 2’s complement in representing negative numbers.


• ARITHMETIC ADDITION– The addition of two numbers in the signed-magnitude

system follows the rules of ordinary arithmetic.

– If the signs are the same, we add the two magnitudes and give the sum the common sign.

– If the signs are different, we subtract the smaller magnitude from the larger and give the result the sign of the larger magnitude.


• ARITHMETIC ADDITION– Example: (+25) + (-37) = - (37 – 25) = -12

– This is done by subtracting the smaller magnitude 25 from the larger magnitude 37 and using the sign of 37 for the sign of the result.

– The same procedure applies to binary numbers in signed-complement system does not require a comparison or subtraction, but only addition


• ARITHMETIC ADDITION– The procedure can be stated as follows for

binary:

• The addition of two signed binary numbers with negative numbers represented in signed 2’s complement form is obtained from the addition of the two numbers, including their sign bits. A carry out of the sign-bit position is discarded.


• ARITHMETIC ADDITION– Numerical examples:+ 6 00000110 - 6 11111010+13 00001101 +13 00001101+19 00010011 +7 00000111

Note that negative numbers must be initially in 2’s complement and that the sum obtained after the addition is in 2’s complement form.


• ARITHMETIC ADDITION– Numerical examples:+ 6 00000110 - 6 11111010-13 11110011 -13 11110011-7 11111001 -19 11101101

Note that negative numbers must be initially in 2’s complement and that the sum obtained after the addition is in 2’s complement form.


• ARITHMETIC ADDITION– In each of the four cases, the operation

performed is addition with the sign bit included.

– Any carry out of the sign-bit position is discarded, and negative results are automatically in 2’s complement form.


• ARITHMETIC SUBTRACTION– Subtraction of two signed binary numbers

when negative numbers are in 2’s complement form is simple and is stated as follows:• Take the 2’s complement of the subtrahend

(including the sign bit) and add it to the minuend (including the sign bit). A carry out of the sign-bit position is discarded.

1-6 SIGNED Binary Numbers• ARITHMETIC SUBTRACTION

– This procedure occurs because a 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)

– But changing a positive number to a negative number is easily done by taking the 2’s complement.

1-6 SIGNED Binary Numbers• ARITHMETIC SUBTRACTION

– Consider 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 2’s complement of the subtrahend (-13) to give (+13).

– In binary, this is 11111010 + 00001101 = 10000011. Removing the end carry, we obtain the correct answer 00000111 (+7).

1-7 BINARY CODES

• Electronic digital systems use signals that have two distinct values and circuit elements that have two stable states.– There is a direct analogy among binary

numbers, binary circuit elements, and binary digits.

– For example, a binary number of n digits may be represented by n binary circuit elements, each having an output signal equivalent to a 0 or a 1.

1-7 BINARY CODES

• Digital systems represent and manipulate not only binary numbers, but also many other discrete elements of information.– Any discrete element of information distinct

among a group of quantities can be represented by a binary code.

– Codes must be in binary because computers can only hold 1’s and 0’s.

1-7 BINARY CODES

• A bit bit by definition is a binary digit and when used in conjunction with a binary code, it is better to think of it as denoting a binary quantity equal to 0 or 1.– To represent a group of 22nn distinct elements in

a binary code requires a minimum of n bits.

– This is because it is possible to arrange n bits in 22nn distinct ways.

1-7 BINARY CODES

• For example,– A group of four distinct quantities can be

represented by a two-bit code, with each quantity assigned one of the following bit combinations: 00, 01, 10, 11.

– A group of eight elements requires a three-bit code, with each element assigned to one and only one of the following: 000, 001, 010, 011, 100, 101, 110, 111.

1-9 BINARY LOGIC

• Binary logic deals with variables that take on two discrete values and with operations that assumes logical meaning.– The two values the variables take may be

called by different names (e.g., true and false, yes and no, etc.) but it is more convenient to think in terms of bits and assign the values of 1 and 0.

1-9 BINARY LOGIC• Binary logic is used to describe, in mathematical

way, the manipulation and processing of binary information.

– It is suited for the analysis and design of digital systems.

– For example, the digital logic circuits of figure 1-3 in your book that perform the binary arithmetic are the circuits whose behavior is conveniently expressed by means of binary variables and logical operations.

1-9 BINARY LOGIC• The binary logic to be introduced in this

section is equivalent to an algebra called BOOLEAN ALGEBRA.– The purpose of this section is to introduce

Boolean algebra and relate it to digital logic circuits and binary signals.

– The formal discussion of a 2-valued Boolean algebra is covered in more detail in Chapter 2.

1-9 BINARY LOGIC• DEFINITION of Binary Logic

– Binary Logic consists of binary variables and logical operations.

– Variables are designated by letters of alphabet such as A, B, C, x, y, z, etc. with each variable having two and only two distinct possible values: 1 and 0.

– There are three basic logical operations: AND, OR and NOT.


–AND: This operation is represented by a dot or by the absence of an operator.

–For example, x.y = z or xy = z is read “ x AND y is equal to z.”

–The logical operation AND is interpreted to mean that z = 1 if and only if x = 1 and y = 1; otherwise z = 0.


–OR: This operation is represented by a plus sign.

–For example, x + y = z is read “x OR y is equal to z,” meaning that z=1 if x=1 or if y=1 or if both x=1 and y=1.

–If both x=0 and y=0, then z = 0.


–NOT: This operation is represented by a prime (sometimes by a par).

–For example, x’ = z (or x = z) is read “not x is equal to z,” meaning that z is what x is not.

–In other words, if x=1, then z=0; but if x=0, then z=1.

1-9 BINARY LOGIC

• DEFINITION of Binary Logic– Binary Logic resembles binary arithmetic, and

the operations AND and OR have some similarities to multiplication and addition.

– One should realize that an arithmetic variable designates a number that may consist of many digits.

– A logic variable is always either a 1 or 0.


– For each combination of the values of x and y, there is a value of z specified by the definition of the logical operation.

– These definitions can be listed in a compact form known as TRUTH Tables.

– A truth table is a table of all possible combinations of the variables showing the relation between the values that the variables may take and the result of the operation.

1-9 BINARY LOGIC

Truth Tables of Logical Operations:

AND

x y z

0 0 0

0 1 0

1 0 0

1 1 1

OR

x y z

0 0 0

0 1 1

1 0 1

1 1 1

NOT

x x’

0 0

0 1

1-9 BINARY LOGICSwitching Circuits and Binary Signals

– The use of binary variables and the application of binary logic are demonstrated by the simple switching circuit in the figure.

Voltage Source

A B

A

B

(a) Switches in series – logic AND (b) Switches in parallel – logic OR


– Manual switches A and B represent two binary variables with values equal to 0 when the switches is open and 1 when the switch is closed. Similarly, let the lamp L represent a third binary variable equal to 1 when the light is on and 0 when off.

Voltage Source

A B

A

B


– For the switches in series, the light turns on if A and B are closed.

– For the switches in parallel, the light turns on if A or B is closed.

L = A B L = A + B

Voltage Source

A B

A

B


– Electronic digital circuits are sometimes called switching circuits because they behave like a switch such as the transistor.

– Instead of changing the switch manually, an electronic switching circuit uses binary signals to control the conduction or non-conduction state of the active element.

– Electrical signals such as voltage and current exist throughout a digital system in either one of two recognizable values (except during transition).

1-9 BINARY LOGIC– Voltage-operated circuits respond to two separate voltage

levels, which represent a binary variable equal to Logic – 1 or Logic – 0.

4

3

2

1

0.5

0

-0.5

TOLERANCE ALLOWED for LOGIC-0

TOLERANCE ALLOWED for LOGIC-1

TRANSITION OCCURS BETWEEN THESE LIMITS

NOMINAL LOGIC-1

NOMINAL LOGIC-0

1-9 BINARY LOGIC

• Electronic digital circuits are also called LOGIC CIRCUITS because, with the proper input, they establish logical manipulation paths.

• Any desired information for computing or control can be operated upon by passing binary signals through various combinations of logic circuits, each signal representing a variable and carrying one bit of information.

1-9 BINARY LOGIC• LOGIC CIRCUITS that perform the logical

operations of AND, OR, and NOT are shown below with their symbols.

X

Y

Z = X.Y

Z = X + Y

X

Y

x x’

(a) Two – input AND gate

(b) Two – input OR gate

(c) NOT gate or inverter

1-9 BINARY LOGIC• LOGIC CIRCUITS that perform the logical

operations of AND, OR, and NOT are shown below with their symbols.

AB

F = ABC

G = A + B + C + D

AB

(d) Three – input AND gate

(e) Four-input OR gate

C

CDE

1-9 BINARY LOGIC• These circuits, called gates, are blocks of

hardware that produce a logic-1 or logic-0 output signal if input logic requirements are satisfied

• Note that four different names have been used for the same type of circuits:

–DIGITAL Circuits–SWITCHING Circuits–LOGIC Circuits, and–GATES

END OF END OF CHAPTER 1CHAPTER 1Prelim Exam on July 23, 2008

CHAPTER 2CHAPTER 2BOOLEAN ALGEBRABOOLEAN ALGEBRA and

LOGIC GATESLOGIC GATES

Boolean Algebra and Logic GatesBoolean Algebra and Logic Gates

• Boolean algebra, like any other deductive mathematical system, maybe defined with a set of elements, a set of operators, and a number of unproved axioms or postulates.

Boolean Algebra and Logic GatesBoolean Algebra and Logic Gates

• In traditional logic, an axiom or postulate is a proposition that is not proved or demonstrated but considered to be either self-evident, or subject to necessary decision. Therefore, its truth is taken for granted, and serves as a starting point for deducing and inferring other (theory dependent) truths.

• an axiom is any mathematical statement that serves as a starting point from which other statements are logically derived

http://en.wikipedia.org/wiki/Logic

http://en.wikipedia.org/wiki/Self-evidence

http://en.wikipedia.org/wiki/Decision

Boolean Algebra and Logic GatesBoolean Algebra and Logic GatesBasic DefinitionsBasic Definitions

• A set of elementsset of elements is any collection of objects having a common property

• If SS is a set, and x and y are certain objects, then x SS denotes that x is a member of the set SS, and y SS denotes that y is not an element of SS.

• A set with a denumerable number of elements is specified by braces: A = {1, 2, 3, 4}, i.e., the elements of set A are the numbers 1, 2, 3 and 4.


• A binary operator binary operator defined on a set SS of elements is a rule that assigns to each pair of elements from SS a unique element from SS.

• Example: a * b = c, we say that * is a binary operator if it specifies a rule for finding c from the pair (a, b) and also if a, b, c SS.– However, * is not a binary operator if a, b S S (?)(?),

whereas the rule finds c SS..


• The postulates of a mathematical system form the basic assumptions from which it is possible to deduce the rules, theorems, and properties of the system.

• The most common postulates used to formulate various algebraic structures are:


1.1. Closure – Closure – A set S is closed with respect to a binary operator if, for every pair of element S, the binary operator specifies a rule for obtaining a unique element of S.

For example: The set of natural numbers N = {1, 2, 3, 4, . . . } is closed with respect to the binary operator plus (+) by the rules of arithmetic addition since for any a, b N we obtain a unique c N by the operation a + b = c.


2.2. Associative Law – Associative Law – A binary operator * on a set S is said to be associative whenever

(x * y) * z = x * (y * z) for all x, y, z SS

3.3. Commutative LawCommutative Law – A binary operator * on a set S is said to be commutative whenever

x * y = y * x for all x, y SS

4.4. Identity Element – Identity Element – A set S is said to have an identity element with respect to a binary operation * on S if there exists an element e S with the property

e * x = x * e = x for every x S

Example: The element 0 is an identity element with respect to operation + on the set of integers I = {…, -3, -2, -1, 0, 1, 2, 3, …} since x + 0 = 0 + x = x for any x I


5. Inverse. 5. Inverse. A set S having the identity element e with respect to a binary operator * is said to have an inverse whenever, for every x S, there exist an element y S such that

x * y = eExample: In the set of integers I with e = 0, the inverse of

an element a is (-a) since a + (-a) = 0.

6. Distributive Law6. Distributive Law. If * and • are two binary operators on a set S, * is said to be distributive over • whenever

x * (y • z) = (x * y) • (x * z)


The operators and postulates The operators and postulates have the following meanings:

1.1. The binary operator + defines addition.The binary operator + defines addition.2.2. The additive identity is 0.The additive identity is 0.3.3. The additive inverse defines subtractions.The additive inverse defines subtractions.4.4. The binary operator The binary operator • defines multiplication• defines multiplication5.5. The multiplicative identity is 1.The multiplicative identity is 1.6.6. The multiplicative inverse of a = 1/a defines division.The multiplicative inverse of a = 1/a defines division.7.7. The only distributive law applicable is that of The only distributive law applicable is that of • over +:• over +:

a a • (b + c) = (a • b) + (a • c)• (b + c) = (a • b) + (a • c)

Axiomatic Definitions of Boolean AlgebraAxiomatic Definitions of Boolean Algebra

• Boolean algebra is defined by a set of elements, B, provided following postulates with two binary

operators, + and ., are satisfied:

1. Closure with respect to the operators + and ..

2. An identity element with respect to + and . is 0 and 1,respectively.

3. Commutative with respect to + and .. Ex: x + y = y + x

4. + is distributive over . : x + (y . z)=(x + y) . (x + z)

. is distributive over + : x . (y + z)=(x . y) + (x . z)

5. Complement elements: x + x’ = 1 and x . x’ = 0.

6. There exists at least two elements x,y B such that x≠y.

Comparing Boolean algebra with arithmetic and ordinary algebra.

1. Huntington postulates don’t include the associative law, however, this holds for Boolean algebra.

2. The distributive law of + over . is valid for Boolean algebra, but not for ordinary algebra.

3. Boolean algebra doesn’t have additive and multiplicative inverses; therefore, no subtraction or division operations.

4. Postulate 5 defines an operator called complement that is not available in ordinary algebra.

5. Ordinary algebra deals with the real numbers. Boolean algebra deals with the as yet undefined set of elements, B, in two-valued Boolean algebra, the B have two elements, 0 and 1.

TWO-VALUED Boolean AlgebraTWO-VALUED Boolean Algebra

A two-valued Boolean algebra is defined on a set of two A two-valued Boolean algebra is defined on a set of two elements, B = {0, 1}, with rules for the two binary elements, B = {0, 1}, with rules for the two binary operators + and operators + and • as shown in the following operator • as shown in the following operator tables:tables:

These rules are exactly the same as the AND, OR and NOT operations, respectively.

x y x • y

0 0 0

0 1 0

1 0 0

1 1 1

x y x + y

0 0 0

0 1 1

1 0 1

1 1 1

x x’

0 1

1 0

Diagram of the Distributive lawDiagram of the Distributive law

• To emphasize the similarities between two-valued Boolean algebra and other binary systems, this algebra was called “binary logic”. We shall drop the adjective “two-valued” from Boolean algebra in subsequent discussions.

x . ( y + z )=(x . y) + (x . z)

BASIC THEOREMS and PROPERTIES BASIC THEOREMS and PROPERTIES OF BOOLEAN ALGEBRAOF BOOLEAN ALGEBRA

• If the binary operators and the identity elements are interchanged, it is called the DUALITY PRINCIPLE. We simply interchange OR and AND operators and replace 1’s by 0’s and 0’s by 1’s.

• The most important property of Boolean Algebra is called

• The theorem 1(b) is the dual of theorem 1(a) and that each step of the proof in part (b) is the dual of part (a). Shown in the next slides…

BASIC THEOREMS and PROPERTIES BASIC THEOREMS and PROPERTIES OF BOOLEAN ALGEBRAOF BOOLEAN ALGEBRA

SECTION 2-4: BOOLEAN FUNCTIONS

logic design and switching theory

Education

design of digital circuits

digital counters

digital systems computers

digital voltmeters

digital displays

digits digital systems

digital design bytext

digital systems introduction