Download presentation

Presentation is loading. Please wait.

1
**Boolean Algebra and Logic Gates**

Chapter 2 Boolean Algebra and Logic Gates

2
2.1 Introduction To provide a basic vocabulary and a brief foundation in Boolean algebra Boolean algebra To optimize simple circuits To understand the purpose of algorithms for optimizing complex circuits with millions of gates.

3
**2.2 Basic Definitions Closure Associative law Commutative law**

Identity element Inverse Distributed law

4
Closure Closure A set S is closed with respect to a binary operator if, for every pair of elements of S, the binary operator specifies a rule for obtaining a unique elements of S. Example The set of natural number N = {1,2,3,4,…} is closed with the binary operator plus(+) by rules of arithmetic addition

5
**Associative law, Commutative law, etc.**

Associative law : (x*y)*z = x*(y*z) for all x,y,z∈S Commutative law : x*y = y*x for all x,y∈S Identity elements: A set is said to have identity elements with respect to a binary operation * on S if there exists an element e ∈S with the property for all x ∈S, e*x = x*e =x Example: set of integers I={…, -3, -2, -1, 0, 1, 2, 3, …}, x + 0 = 0 + x = x

6
**Associative law, Commutative law, etc.**

Inverse : A set S having the identity elements e with a binary operator * is said to have an inverse, for all x∈S , y∈S, x * y = e example: In the set of integers, I, and the operator + with 0, the inverse of an element a is (-a), since a + (-a) = 0 Distributive law : x*(y.z)=(x*y).(x*z)

7
**2.3 Axiomatic definitions of Boolean algebra**

George Boole Developed Boolean algebra in 1854. C. E. Shannon Introduced a two-valued Boolean algebra (switching algebra) in 1938. E. V. Huntington Formulated the postulates in (refer to page 54)

8
**Two-valued Boolean Algebra**

Two_valued Boolean algebra is defined on a set of two elements, B ={0,1}, with rules for the two binary operators + and . Closure Two identity elements: 0 for + and 1 for Distributed law x (y+z) = (x y) + (x z) x + x’=1 x x’ = 0

9
**2.4 Basic theorems and properties of Boolean Algebra**

Duality If the dual of an expression is desired, we simply interchange OR and AND operators and replace 1’s by 0’s and 0’s by 1’s.

10
**Basic theorems (Table 2.1)**

The theorems, postulates in Table 2.1 are listed in pairs; each relation is the dual of the one paired with it.

11
**A Proof of theorems x + xy = x x + xy = x.1 + xy postulate 2(b)**

= x(1+y) postulate 4(a) = x(y+1) postulate 3(a) = x theorem 2(a) = x postulate 2(b)

12
**2.4 Basic theorems and properties of Boolean Algebra (continued)**

Operator Precedence Parentheses NOT AND OR

13
2.5 Boolean Functions Boolean algebra is an algebra that deals with binary variables and logic operations An example: F1 = x + y'z Its truth table is shown in Table 2.2 and its logic-circuit diagram is shown in Figure 2.1

14
**2.5 Boolean Functions (con.)**

Equivalent logics with the same truth table An example: F2 in Table F2 = x’y’z + x’yz + xy’ = x’z ( y’+ y ) + xy’ = x’z + xy’

15
Implementation of F2

16
**Algebraic manipulation**

A literal: a single variable within the term that requires a logic gate. Minimization: obtaining a simpler circuit Designers of digital circuits use computer minimization programs

17
**Example 2.1 2. x +x'y = (x+x')(x+y) = 1(x+y) = x + y.**

3. (x+y)(x+y') = x + xy + xy' + yy' = x(1+y+y') = x. 4. xy + x'z + yz = xy + x'z + yz(x+x') = xy + x'z + xyz + x'yz = xy(1+z) + x'z(1+y) = xy + x'z 5. (x+y)(x'+z)(y+z) = (x+y)(x'+z) : by duality from function 4. 4 and 5 are known as consensus theorem

18
**Complement of a function**

The complement of a function F is F’ F’ is obtained from an exchange of 0’s for 1’s and 1’s for 0’s of function F The complement of a function may derived algebraically through DeMorgan’s theorem.

19
**Complement of a function (cont.)**

DeMorgan’s theorem (Table 2.1) can be extended to three variables. (A + B + C)'= (A+x)' let B+C=x = A'x' by theorem 5(a)(DeMorgan) = A'(B+C)' substitute B+C=x = A'(B'C') by theorem 5(a)(DeMorgan) = A'B'C' by theorem 4(b)(associative) DeMorgan’s theorem can be generalized. (A+B+C+D+…+F)' = A'B'C'D'…F' (ABCD…F)' = A' +B'+ C' + D' + … + F'

20
**Example 2.2 F1=x'yz'+x'y'z, F2=x(y'z'+yz). <Answer>**

Find the complement of the functions F1=x'yz'+x'y'z, F2=x(y'z'+yz). <Answer> F1' = (x'yz'+x'y'z)' = (x'yz')'(x'y'z)' = (x+y'+z)(x+y+z') F2' = [x(y'z'+yz)]' = x'+(y'z'+yz)' = x'+(y'z')'(yz)' = x'+(y+z)(y'+z')

21
Example 2.3 Find the complement of the functions F1 And F2 Example 2.2 by taking their duals and complementing each literal. <Answer> 1. F1 = x'yz' + x'y'z. The dual of F1 is (x'+y+z')(x'+y'+z) Complement each literal : (x+y'+z)(x+y+z')=F1' 2. F2 = x(y'z'+yz). The dual of F2 is x+(y'+z')(y+z) Complement each literal : x'+(y+z)(y'+z')=F2'

22
**2.6 Canonical and Standard Forms**

Minterms and Maxterms

23
**Functions of Three Variables**

Example: f1, f2 , f1’?

24
**Functions of Table 2.4 f1 = x’y’z+xy’z’+xyz = m1 + m4 + m7**

f2 = x’yz+xy’z+xyz’+xyz = m3 + m5 + m6 + m7 f1’ = x’y’z’+ x’yz’ + x’yz + xy’z + xyz’ (f1’)’= (x’y’z’+ x’yz’+x’yz+xy’z + xyz’)’ = (x+y+z)(x+y’+z)(x+y+z)(x’+y+z’)(x’+y’+z) = M0.M2.M3.M5.M6 = f1 Similarly f2 = M0.M1.M2.M4

25
Sum of Minterms Any Boolean functions can be expressed as sum of minterms.

26
**Example 2.4 Express F = A + B’C in sum of minterms. <Answer>**

A = A(B+B') = AB +AB' = AB(C+C') + AB'(C+C') = ABC + ABC' + AB'C +AB'C‘ B'C = B'C(A+A') = AB'C + A'B'C F = A + B'C = A' B'C + AB'C' + AB'C + ABC' + ABC = m1 + m4 + m5 + m6 + m7 = ∑(1, 4, 5, 6, 7)

28
Product of Maxterms Any Boolean functions can be expressed as product of maxterms.

29
Example 2.5 Express the Boolean function F = xy + x'z in a product of maxterm form. <Answer> F = xy + x'z = (xy+x')(xy+z) = (x+x')(y+x')(x+z)(y+z) = (x'+y)(x+z)(y+z) x' + y= x' + y + zz'= (x'+y+z)(x'+y+z') x + z= x + z + yy'= (x+y+z)(x+y'+z) y + z= y + z + xx'= (x+y+z)(x'+y+z) F = (x+y+z)(x+y'+z)(x'+y+z)(x'+y+z') = M0M2M4M5 = ∏(0, 2, 4, 5)

30
**Conversion between Canonical Forms**

F(A,B,C) = (1,4,5,6,7) F’(A,B,C) = (0,2,3) = m0+m2+m3 If F, (F’)’ is taken by DeMorgan’s theorem F=(m0+m2+m3)’=m0’.m2’.m3’ = M0M2M3 = (0,2,3) It is clear that mj’=Mj

31
**Example: F(x,y,z)=xy+x’z**

F=xy+x’z = (1,3,6,7) = (0,2,4,5)

32
Standard Forms Sum of Products(SOP): a Boolean expression containing AND terms Product of Sums(POS): a Boolean expression containing OR terms

33
**F1= y’ + xy + x’yz’ F2= x(y’+z)(x’+y+z)**

34
**Nonstandard forms: F3=AB+C(D+E)**

Figure 2-4(a): Nonstandard forms Figure 2-4(b): Conversion to its standard form 3-level 2- level

35
**Incompletely Specified Functions**

Assume that the output of N1 does not generate all possible combinations of values for A,B, and C.

36
**The function F is incompletely specified.**

The minterm A’B’C and ABC’ are “don’t care terms”. F = m(0,3,7)+ d(1,6)

37
**2.7 Other Logic Operations**

16 functions of two binary variables

38
**Boolean expressions of the 16 functions**

39
2.8 Digital Logic Gates

40
**Extension to Multiple Inputs**

NAND and NOR operators are not associative (xy)z x(yz) <Proof> (x↓y)↓z= [(x+y)'+z]' = (x+y)z'= xz' + yz' x↓(y↓z)= [x+(y+z)'] ' = x'(y+z)= x'y + x'z

42
**3-input Gates By definition xyz = (x+y+z)’ xyz = (xyz)’**

F = [(ABC)'(DE)']' = ABC + DE

43
3-input XOR gate

44
**Positive and Negative Logic**

46
2-8 Integrated Circuits SSI MSI LSI VLSI

47
**Digital Logic Families**

Typical digital IC families TTL ECL MOS CMOS Evaluation parameters Fan-out Fan-in Power of dissipation Propagation delay Noise margin

Similar presentations

OK

COMBINATIONAL LOGIC CIRCUITS C.L. x1 x2 xn Z Z = F (x1, x2, ……., Xn) F is a Binary Logic (BOOLEAN ) Function Knowing F Allows Straight Forward Direct Implementation.

COMBINATIONAL LOGIC CIRCUITS C.L. x1 x2 xn Z Z = F (x1, x2, ……., Xn) F is a Binary Logic (BOOLEAN ) Function Knowing F Allows Straight Forward Direct Implementation.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google

Ppt on power plant in india Ppt on search engine optimisation Ppt on object-oriented programming examples Ppt on power electronics application Seven segment display ppt on tv Download ppt on wildlife conservation in india Ppt on quality education definition Ppt on renewable energy for today and tomorrow Ppt on importance of sports and games Ppt on wireless solar mobile charger