The document discusses digital logic circuits including comparators and code converters. It describes:
1) How an XOR gate can be used as a 2-bit comparator and how additional gates are needed to compare numbers with more bits.
2) How a 4-bit magnitude comparator like the 74LS85 works by starting with the most significant bit and propagating the result through cascading inputs.
3) Methods for converting between binary coded decimal (BCD) and other codes like binary, gray code, and excess-3 (XS3) using logic gates and truth tables.
Inductive programming incorporates all approaches which are concerned with learning programs or algorithms from incomplete (formal) specifications. Possible inputs in an IP system are a set of training inputs and corresponding outputs or an output evaluation function, describing the desired behavior of the intended program, traces or action sequences which describe the process of calculating specific outputs, constraints for the program to be induced concerning its time efficiency or its complexity, various kinds of background knowledge such as standard data types, predefined functions to be used, program schemes or templates describing the data flow of the intended program, heuristics for guiding the search for a solution or other biases.
Output of an IP system is a program in some arbitrary programming language containing conditionals and loop or recursive control structures, or any other kind of Turing-complete representation language.
In many applications the output program must be correct with respect to the examples and partial specification, and this leads to the consideration of inductive programming as a special area inside automatic programming or program synthesis, usually opposed to 'deductive' program synthesis, where the specification is usually complete.
In other cases, inductive programming is seen as a more general area where any declarative programming or representation language can be used and we may even have some degree of error in the examples, as in general machine learning, the more specific area of structure mining or the area of symbolic artificial intelligence. A distinctive feature is the number of examples or partial specification needed. Typically, inductive programming techniques can learn from just a few examples.
The diversity of inductive programming usually comes from the applications and the languages that are used: apart from logic programming and functional programming, other programming paradigms and representation languages have been used or suggested in inductive programming, such as functional logic programming, constraint
programming, probabilistic programming
Research on the inductive synthesis of recursive functional programs started in the early 1970s and was brought onto firm theoretical foundations with the seminal THESIS system of Summers[6] and work of Biermann.[7] These approaches were split into two phases: first, input-output examples are transformed into non-recursive programs (traces) using a small set of basic operators; second, regularities in the traces are searched for and used to fold them into a recursive program. The main results until the mid 1980s are surveyed by Smith.[8] Due to
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Inductive programming incorporates all approaches which are concerned with learning programs or algorithms from incomplete (formal) specifications. Possible inputs in an IP system are a set of training inputs and corresponding outputs or an output evaluation function, describing the desired behavior of the intended program, traces or action sequences which describe the process of calculating specific outputs, constraints for the program to be induced concerning its time efficiency or its complexity, various kinds of background knowledge such as standard data types, predefined functions to be used, program schemes or templates describing the data flow of the intended program, heuristics for guiding the search for a solution or other biases.
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2. DIGITAL SYSTEMS TCE1111
• If two input bits are not equal, its output is a 1. But if
two input bits are equal, its output is a 0.
• So exclusiveOR gate can be used as a 2bit Comparator.
2
3. DIGITAL SYSTEMS TCE1111
3
• In order to compare binary numbers containing two bits each,
an additional XOR gate is necessary
• 2 LSB of two numbers are compared by gate G1
• 2 MSB of two numbers are compared by gate G2
• 2 Inverters and 1 AND gate can be used
4. DIGITAL SYSTEMS TCE1111
4
Logic diagram for equality comparison of two 2-bit numbers..
XOR gate and inverter can be replaced by an XNOR symbol,
HOW?
5. DIGITAL SYSTEMS TCE1111
Contd...
• There are two different types of output relationship
between the two binary quantities;
• Equality output indicates that the two binary numbers
being compared is equal (A = B) and
• Inequality output that indicates which of the two binary
number being compared is the larger.
• That is, there is an output that indicates when A is
greater than B (A > B) and an output that indicates
when A is less than B (A < B).
5
6. DIGITAL SYSTEMS TCE1111
74LS85 (4bit magnitude comparator)
The 74LS85 compares two unsigned 4-bit binary
numbers , the unsigned numbers are A3, A2, A1, A0
and B3, B2, B1, B0.
6
Cascading
Inputs
Outputs
7. DIGITAL SYSTEMS TCE1111
It has three active-HIGH outputs
Start with most significant bit in each number to determine the
inequality of 4-bit binary numbers A and B
• Output A<B will be HIGH if A3=0, and B3=1
• Output A>B will be HIGH if A3=1, and B3=0
• If A3=0, and B3=0 or A3=1, and B3=1, then examine the next
lower order bit position for an inequality.Only when all bits of
A=B, output A=B will be HIGH
7
8. DIGITAL SYSTEMS TCE1111
8
The general procedure used in comparator:
• Start with the highest-order bits (MSB)
• When an inequality is found, the relationship of the 2
numbers is established, and any other inequalities in lower-
order positions must be ignored
• THE HIGHEST ORDER INDICATION MUST TAKE
PRECEDENCE
9. DIGITAL SYSTEMS TCE1111
9
Example: Determine the A=B, A>B, and A<B outputs for the input numbers shown on the 4-bit comparator as given below.
Solution: The number on the A inputs is 0110 and the number on the B
inputs is 0011. The A > B output is HIGH and the other outputs (A=B
and A<B) are LOW
10. DIGITAL SYSTEMS TCE1111
Contd...
• In addition, it also has three cascading inputs:
• These inputs provides a means for expanding the
comparison operation by cascading two or more 4bit
comparator.
• To expand the comparator, the A<B, A=B, and A>B
outputs of the lowerorder comparator are connected to
the corresponding cascading inputs of the next
higherorder comparator.
10
11. DIGITAL SYSTEMS TCE1111
Contd...
• The lowest-order comparator must have a HIGH on the
A=B, and LOWs on the A<B and A>B inputs as shown in next
slide.
• The comparator on the left is comparing the lower-order
8bit with the comparator on the right with higherorder
8bit .
• The outputs of the lowerorder bits are fed to the cascade
inputs of the comparator on the right, which is comparing
the high-order bits.
• The outputs of the high-order comparator are the final
outputs that indicate the result of the 8bit comparison.
11
17. DIGITAL SYSTEMS TCE1111
Example :
Determine the output for the following sets of
binary
numbers to the comparator inputs in figure below.
(a) 10 and 10 (b) 11 and 10
Solution
( a )The output is 1 (b) The output is 0
17
18. DIGITAL SYSTEMS TCE1111
CODE CONVERTERS
• A code converter is a logic circuit that changes data
presented in one type of binary code to another type of
binary code, such as BCD to binary, BCD to 7segment,
binary to BCD, BCD to XS3, binary to Gray code, and Gray
code to binary.
• We know that, two digit decimal values ranging from 00
to 99 can be represented in BCD by two 4bit code
groups.
18
19. DIGITAL SYSTEMS TCE1111
19
BCD-to-Binary Conversion
One method of BCD-to-Binary code conversion uses adder
circuits :
1. The value, or weight, of each bit in the BCD number is
represented by a binary number
2. All of the binary representations of the weights of bits that
are 1s in the BCD number are added
3. The result of this addition is the binary equivalent of the
BCD number
20. DIGITAL SYSTEMS TCE1111
Contd...
For example, 4610 is represented as
• The MSB has a weight of 10, and the LSB has a weight
of 1.
• So the most significant 4bit group represents 40, and
the least significant 4bit group represents 6 as in
Table.
20
22. DIGITAL SYSTEMS TCE1111
The binary equivalent of each BCD bit is a binary number
representing the BCD bit weight
22
23. DIGITAL SYSTEMS TCE1111
The result from the addition of the binary representation for
the weights of all the 1s in the BCD number is the binary
number that corresponds to the BCD number.
23
32. DIGITAL SYSTEMS TCE1111
32
Exercise
1. Convert the binary number 0101 to Gray code with XOR
gates
2. Convert the gray code 1011 to binary with XOR gates
Solution:
33. DIGITAL SYSTEMS TCE1111
BCD to XS 3 code converter- Design (1)...
33
TRUTH TABLE FOR BCD TO XS3 CODE CONVERTER:
Input ( Std BCD code) Output ( XS3 Code)
A B C D w x y z
0 0 0 0 0 0 1 1
0 0 0 1 0 1 0 0
0 0 1 0 0 1 0 1
0 0 1 1 0 1 1 0
0 1 0 0 0 1 1 1
0 1 0 1 1 0 0 0
0 1 1 0 1 0 0 1
0 1 1 1 1 0 1 0
1 0 0 0 1 0 1 1
1 0 0 1 1 1 0 0
1 0 1 0 X X X X
1 0 1 1 X X X X
1 1 0 1 X X X X
1 1 1 0 X X X X
1 1 1 1 X X X X
34. DIGITAL SYSTEMS TCE1111
BCD to XS 3 code converter- Design (2)...
34
K-maps for simplification and simplified Boolean expressions
35. DIGITAL SYSTEMS TCE1111
BCD to XS 3 code converter- Design (3)...
• After the manipulation of the Boolean
expressions for using common gates for two or
more outputs, logic expressions can be given by
z=D’
y=CD+C’D’ = (C+D)’
x= B’C + B’D + BC’D’ = B’(C+D) + BC’D’
w= A + BC + BD = A + B (C+D)
35