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@stepbystep001

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Integers are … point numbers with the radix point fixed after the …-significant bit
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31%
fixed – most
24%
floating – most
36%
fixed – least
10%
floating – least
The commonly-used bit-lengths for integers are 8-bit, 16-bit, 32-bit or 64-bit
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93%
T
7%
F
Derived Channel
The commonly-used bit-lengths for integers are 8-bit, 16-bit, 32-bit or 64-bit
UnSigned Integers: can represent zero, positive and negative integers.
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33%
T
67%
F
Unsigned Integers: can represent zero and positive integers.
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90%
T
10%
F
IN SIGN-MAGNITUDE sign bit, the value of …representing positive integer and … representing negative integer
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15%
1 , -1
11%
1 , 0
70%
0 , 1
4%
0, -1
for negative integers, the absolute value of the integer is equal to "the magnitude of the complement (inverse) of the (n-1)-bit binary pattern
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69%
1'S COMPLEMENT
16%
2'S COMPLEMENT
14%
SIGN-MAGNITUDE
for negative integers, the absolute value of the integer is equal to "the magnitude of the complement of the (n-1)-bit binary pattern plus
one
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9%
SIGN-MAGNITUDE
81%
2'S COMPLEMENT
10%
1'S COMPLEMENT
There are two representations of zero
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13%
SIGN-MAGNITUDE
15%
1'S COMPLEMENT
2%
2'S COMPLEMENT
70%
a &b
There is only one representation for the number zero
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16%
SIGN-MAGNITUDE
70%
2'S COMPLEMENT
4%
1'S COMPLEMENT
10%
a and b
beyond the range
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87%
overflow
13%
underflow
below the range
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15%
overflow
85%
underflow
Overflow happens if the carry in equal the carry out
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45%
T
55%
F
A Single-Precision floating-point number occupies
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19%
8-bit
3%
16-bit
76%
32-bit
2%
64-bit
A Double-Precision floating-point number occupies
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87%
64-bit
9%
32-bit
2%
16-bit
2%
8-bit
Double Precision: mantissa ===> 1 bit + 23 bits
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25%
T
75%
F
IEEE single-precision uses a bias of =127
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91%
T
9%
F
Actual exponent is found by subtracting the bias from the stored exponent
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75%
T
25%
F
0 11111111 00000000000000000000000
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12%
Zero
4%
Negative zero
69%
Infinity
7%
Negative infinity
8%
NaN
-1/0.0 : Zero
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28%
T
72%
F
7-bit
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11%
Latin
89%
ASCII Code
8-bit Latin is a superset of ASCII
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75%
T
25%
F