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## PowerPoint Slideshow about ' Digital Logic' - reed-zamora

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### Digital Logic

OutlineOutline

http://www.pds.ewi.tudelft.nl/~iosup/Courses/2011_ti1400_1.ppt

Outline

Basics of Boolean algebra and digital implementation

Sum of products form and digital implementation

Functional Units

Repeated Operations

Other Building Blocks

Unit of Information

- Computers consist of digital (binary) circuits
- Unit of information: bit(Binary digIT), e.g. 0and 1
- There are two interpretations of 0and 1:
- as data values
- as truth values (true andfalse)

Bit Strings

- By grouping bits together we obtain bit strings
- e.g<10001>

which can be given a specific meaning

- For instance, we can represent non-negative numbers by bitstrings:

Boolean Logic

- We want a computer that can calculate, i.e transform strings into other strings:

1 +2 = 3 <01> <10> = <11>

- To calculate we need an algebrabeing able to use only two values
- George Boole (1854) showed that logic (or symbolic reasoning) can be reduced to a simple algebraic system

Boolean algebra

- Rules are the same as school algebra:
- There is, however, one exception:

!

Commutative Law

Distributive Law

Associative Law

Boolean algebra

- To see this we have to find out what the operations “+” and “.” mean in logic
- First the “.” operation: x.y(orx y)
- Suppose x means “black” and y means “cows”. Then, x.y means “black cows”
- Hence “.” implies the class of objects that has both properties. Also called ANDfunction.

Boolean algebra

- The “+” operation merges independent objects: x + y (or x y)
- Hence, ifx means “man” and y means “woman”
- Then x+y means “man or woman”
- Also called OR function

Boolean algebra

- Now suppose both objects are identical, for example x means “cows”
- Then x.x comprises no additional information
- Hence

Boolean algebra

- Next, we select “0” and “1” as the symbols in the algebra
- This choice is not arbitrary, since these are the only number symbols for which holds x2 = x
- What do these symbols mean in logic?
- “0” : Nothing
- “1”: Universe
- So 0.y = 0 and 1.y = y

Boolean algebra

- Also, if x is a class of objects, then 1-x is the complement of that class
- It holds that x(1-x) = x -x2 = x-x =0
- Hence, a class and its complement have nothing in common
- We denote 1-x as x

Boolean algebra

- A nice property of this system that we write any function f(x) as
- We can show this by observing that virtually every mathematical function can be written in polynomial form, i.e

Boolean algebra

- Now
- Hence,
- Let b = a0 and a = a0 + a1
- Then we have
- From this it follows that

Boolean algebra

- So
- More dimensional functions can be derived in an identical way:

Binary addition

- We apply this on the modulo-2 addition

Binary multiplication

- Same for modulo-2 multiplication

Functions

- Let X denote bitstring, e.g., <x4x3x2 x1>
- Any polynomial functionY=f(X)can be constructed using Boolean logic
- Also holds for functions with more arguments
- Functions can be put in table form or in formula form

Gates

- We use basic components to represent primary logic operations (called gates)
- Components are made from transistors

x

x

x+y

x.y

y

y

OR

AND

x

x

INVERT

Outline

- Basics of Boolean algebra and digital implementation
- Sum of products form and digital implementation
- Functional Units
- Repeated Operations
- Other Building Blocks

Minimization of expressions

- Logic expressions can often be minimized
- Saves components
- Example:

Don’t Cares

- Some outputs are indifferent
- Can be used for minimization

Outline

- Basics of Boolean algebra and digital implementation
- Sum of products form and digital implementation
- Functional Units
- Repeated Operations
- Other Building Blocks

Functional Units

- It would be very uneconomical to construct separate combinatorial circuits for every function needed
- Hence, functional units are parameterized
- A specific function is activated by a special control stringF

- Basics of Boolean algebra and digital implementation
- Sum of products form and digital implementation
- Functional Units
- Repeated Operations
- Other Building Blocks

Repeated operations

- Y : = Y + Bi, i=1..n
- Repeated addition requires feedback
- Cannot be done without intermediate storage of results

Y

F

B

F

SR flip flop

- Storage elements are not transient and are able to hold a logic value for a certain period of time

R

Qa

Qb

S

Clocks

- In many circuits it is very convenient to have the state changed only at regular points in time
- This makes design of systems with memory elements easier
- Also, reasoning about the behavior of the system is easier
- This is done by a clock signal

clockperiod

Edge triggered flip flops

- In reality most systems are built such that the state only changes at rising edge of the clock pulse
- We also need a control signal to enable a change

- Basics of Boolean algebra and digital implementation
- Sum of products form and digital implementation
- Functional Units
- Repeated Operations
- Other Building Blocks

End of Lecture

- Comments?
- Questions?

Sequential circuits

- The counter example shows that systems have state
- The state of such systems depend on the current inputs and the sequence of previous inputs
- The state of a system is the union of the values of the memory elements of that system

S0

S1

S2

State diagrams- We call the change from one state to another a statetransition
- Can be represented as a state diagram

Procedure FST

- Make State Diagram
- Make State Table
- Give States binary code
- Put state update functions in Karnaugh Map
- Make combinatorial circuit to realize functions

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