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Logic and data representation

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... point within it (called the mantissa) and a power of 10 ... Bits 0 to 51 for mantissa. ASCII. Most common text representation. Each character has a code. ... – PowerPoint PPT presentation

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Title: Logic and data representation


1
Logic and data representation
  • Revision

2
AND gate
A
B
A
B
All inputs have to be true ( i.e 1) for the
output of the gate to be high, in all other cases
the output is false.
3
OR gate
A
A
B
B
If any of the inputs are true then the output is
true
4
NOT gate
_
A
The output of a NOT gate is the opposite of the
input, in other words the gate inverts the input,
so is often called an inverter.
5
NAND gate
The opposite of an AND gate when any of the
inputs are false the output is true
6
NOR gate
The opposite of the OR gate, the gate is only
true when none of the inputs are true.
7
Exclusive OR (XOR)
A
In a 2-input the gate is only true when the
inputs are different.
B
8
Boolean Algebra
9
Combining gates
10
Truth table for previous slide
11
Truth table to logic diagram
12
  • Looking at the truth table on the previous slide
  • Output G is only true when the inputs A is false
    and B is true, or A is true and B is false
  • The output for an AND gate is only true when both
    the inputs are true, so if we build a circuit
    that when the combinations of inputs A is false
    and B is true, or A is true and B is false we
    get an true output we have built a circuit to do
    this logic operation.

13
A is false and B is true
  • So if we can find a way to make the output from
    AND be true for this combination part of the
    answer.
  • There is no problem with B this is true.
  • A is false so we need to pass it through a device
    that we A is false the output is true NOT gate.

14
  • We can do a similar operation for when A is true
    and B is false
  • We also need a way of combining these two parts
    together so if either combination occurs we get
    an true (1) output.
  • OR gate

15
Combining gates
16
R-S Flip-Flop/Latch
17
  • For a R-S flip-flop based around the NOR gate.
  • R S Q(t1)
  • 0 0 0 - stays same (e.g. if 1 to starts then
    stays as 1)
  • 0 1 1 -Q is set to 1
  • 1 0 0 -Q is reset
  • 1 1 X -indeterminate

18
  • Where Q(t) is the current value (or state) of the
    output Q and Q(t1) is the state of Q that will
    be produce.
  • X is indeterminate (due to the outputs dependent
    on which gate changes first)

19
D-type
  • Data (D) only appears at the output Q on a clock
    pulse.
  • So if D1 on a clock pulse, R0,S1 and Q1.
  • So if D0 on a clock pulse R1,S0 and Q0.
  • Otherwise Q stays the same.

20
Shift Register
  • A 4-bit shift register

21
Shift Register
  • Each time the flip-flop are clocked ( goes
    positive then negative), the value at the input
    to the flip-flop is passed to its output.
  • The effect is that a sequence at the input to the
    circuit is passed from the input to the output of
    the circuit one bit at a time.

22
J-K Flip-Flop
  • Three inputs - J,K,and clock
  • This is a master-slave arrangement, the inputs
    are isolated from the outputs by the second
    latch, which does not change until after the
    master has latched.

23
J-K Flip-Flop
  • J K Q(t) Comment
  • 0 0 Q The output Q stays the same.
  • 0 1 0 Reset (Q0)
  • 1 0 1 Set (Q1)
  • 1 1 1 Toggle
  • Two ways to get no change on output
  • Clock turned off
  • J and K both 0

24
Numbering Systems (Binary)
  • The two-state nature of logic gates means the use
    of 0 or 1, as the basic unit of the count is
    natural.
  • Data is represented by binary digits (bits),
  • words are groups of bits, but by convention the
    size of words are multiples of 8 bits (or a
    byte).
  • bit furthest right as the least significant bit
    (lsb) and
  • bit furthest left as the most significant bit as
    the most significant bit (msb).

25
 
26
Numbering system (Hexadecimal)
  • A base-16 system with 16 possible digits
    0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F. Each
    hexadecimal number can be represented by 4 bits .

27
 
28
Negative and Positive Numbers
  • So far is the discussion no mention has been made
    about the being able to represent negative
    numbers, how can both negative and positive
    number be stored.

29
2s complement
  • There is an alternative, which allows addition
    and subtraction to be treated in the same way.
    2s complement has the sign of the number built
    in. This achieved by the most significant bit the
    value 2n-1 having a negative value
  • so if n8 this is 128 and the rest of the bits
    are unsigned bits.

30
2s complement
  • If 10000001 was stored the msb -128 and the rest
    equals 1 so the number is 1281-127.
  • If 00000001 was stored the msb 0 and the rest
    equals 1 so the number this time is 011

31
 
32
  • So if 2s complement we can represent numbers
    between 128 and 127, in all that is involved is
    adding two numbers together.
  • -126 10000010
  • 126 01111110
  • If we reverse all the bits in 126 we
    get 01111101 if we add to this we get 01111110

33
Positive to negative and back
34
  • For example 1010
  • 0011
  • _____
  • 1101
  • 1
  • Carry __

35
Binary subtraction
  • Binary subtraction is performed by converting the
    second number into its twos complement and
    adding. So there is not a need for a subtracting
    circuit.
  • As an example 14-6

36
Subtraction Example
 
37
 
38
Floating-point numbers
  • Often we want to represent very small, very large
    numbers or numbers with fractional parts. For
    example, 33550000 or 0.00000001451. One way of
    doing this is scientific notation where these
    numbers are split into two parts a number with a
    decimal point within it (called the mantissa) and
    a power of 10 (called the exponent).

39
(No Transcript)
40
  • The decimal number 5.625 could be represented as
    101.101. If we use this mantissa and exponent
    idea, it could also be written as 1.01101x22
    (Normalised) where the exponent shows the final
    position of the binary point relative to the
    current position.
  • Because the binary point can be altered depending
    on the magnitude of the exponent, it often
    refereed to as a floating-point representation.

41
IEEE standard (single precision)
42
Features with floating point representation
  • Gives a wide range of numbers
  • It is not precise
  • Precision and Range can be improved using more
    bits (64 bits in Double precision)
  • Bit 63 for sign,
  • bits 52-62 for exponent
  • Bits 0 to 51 for mantissa

43
ASCII
  • Most common text representation.
  • Each character has a code.
  • Special characters such as space, return, etc
    have codes.
  • American Standards Code for Information
    Interchange.
  • Alternatives EBCDIC not widely used.

44
ASCII
0 1 2 3 4 5 6 70 NUL DCL 0 _at_ P p1 SOH DC1 !
1 A Q a q2 STX DC2 2 B R b r3 ETX DC3 3 C S
c s4 EOT DC4 4 D T d t5 ENQ NAK 5 E U e u6
ACK SYN 6 F V f v7 BEL ETB 7 G W g w8 BS CAN
( 8 H X h x9 HT EM ) 9 I Y i yA LF SUB J Z
j zB VT ESC K k C FF FS , lt L \ l D CR
GS - M m E SO RS . gt N n F SI US / ? O _
o DEL
45
Unicode
  • ASCII used 7 bits (often the 8th bit used to help
    check the data was transferred correctly).
  • Therefore, limited a small character set.
  • Unicode is a 16-bit system, and can deal with the
    requirements of the modern system, with the need
    for different character sets for different
    languages.

46
ASCII
  • So what is the code for A?
  • Go to the table and find A it is on the column
    marked 4 and row marked 1.
  • This can be used to give a hexadecimal number
  • Column gives the higher hexadecimal number.
  • Row gives the low hexadecimal number.
  • There A is 4116
  • What is this code as a decimal number? 4110 or
    6510 ?

47
Test yourself!
  • Go to URL http//library.northampton.ac.uk/exams/
    index.php?stermcsy1014stageallyearall
  • Download summer exam papers for 2004 and 2005
    (ones ending in N)
  • From 2004 paper do Q1,Q5 a,b,d
  • From 2005 paper do Q2a,c,d Q5
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