數位系統 Digital Systems
Department of Computer Science and Information Engineering, Chaoyang University of Technology
朝陽科技大學資工系
Speaker: Fuw-Yi Yang
楊伏夷
伏夷非征番,
道德經 察政章(Chapter 58)
伏
者潛藏也道紀章(Chapter 14) 道無形象, 視之不可見者曰
夷
Text Book: Digital Design 4th Ed.
Chap 1 Digital Systems and Binary Numbers
1.1 Digital Systems
1.2 Binary Numbers-- Table 1.1
1.3 Number-Base Conversions-- Example 1.1~1.4 1.4 Octal and Hexadecimal Numbers -- Table 1.2 1.5 Complements -- Example 1.5~1.8
1.6 Signed Binary Numbers -- Table 1.3 1.7 Binary Codes -- Table 1.4~1.7
1.8 Binary Storage and Registers -- Figure 1.1~1.2 1.9 Binary Logic -- Table 1.8, Figure 1.3~1.6
Text Book: Digital Design 4th Ed.
Chap 1 1.2 Binary Numbers
In general, a number expressed in a base-r system has coefficients multiplied by powers of r:
an⋅rn+an-1⋅rn-1+…+a1⋅r1+a0+a-1⋅r-1+a-2⋅r-2 +…+a-m⋅r-m r is called base or radix.
In general, a number expressed in a base-r system has coefficients multiplied by powers of r:
an⋅rn+an-1⋅rn-1+…+a1⋅r1+a0+a-1⋅r-1+a-2⋅r-2 +…+a-m⋅r-m r is called base or radix.
Text Book: Digital Design 4th Ed.
Chap 1 1.2 Binary Numbers
是否注意到指數為負之值呢?
Ex: 2-1, 2-3 ,2-4
Text Book: Digital Design 4th Ed.
Chap 1 1.3 Number-Base Conversions
Example1.1 Convert decimal 41 to binary, (41)10 = (?)2 (41)D= (?)B Example1.2 (153)10 = (?)8
Example1.3 (0.6875)10 = (?)2 Example1.4 (0.513)10 = (?)8
Text Book: Digital Design 4th Ed.
Chap 1 1.4 Octal and Hexadecimal Numbers
See Table 1.2
Text Book: Digital Design 4th Ed.
Chap 1 1.4 Octal and Hexadecimal Numbers
See Table 1.2
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements
Diminished Radix Complement
Given a number N in base r having n digits, the (r - 1)’s complement of N is defined as (rn - 1) - N.
The 1’s complement of 1011000 is 0100111 Radix Complement
Given a number N in base r having n digits, the r’s complement of N is defined as
rn - N for N
≠
0 and as 0 for N = 0 . The 2’s complement of 1011000 is 0101000Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
The subtraction of two n-digit unsigned numbers M - N in base r can be done as follows:
1. M + (rn - N ), note that (rn - N ) is r’s complement of N.
2. If M ≥ N, the sum will produce an end carry rn, which can be discarded; what is left is the result M - N.
3. If M < N, the sum does not produce an end carry and is equal to rn - (N - M), which is r’s complement of
(N - M). Take the r’s complement of the sum and place a negative sign in front.
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.5 Using 10’s complement, subtract 72532 - 3250.
1. M = 72532, N = 3250, 10’s complement of N = 96750 2.
3. answer: 69282
sum addend augend
....
169282 96750 72532
←←
←
+ ←
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.6 Using 10’s complement, subtract 3250 - 72532.
1. M = 3250, N = 72532, 10’s complement of N = 27468 2.
3. answer: -(100000 - 30718) = -69282
30718
27468
03250
+
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.7 Using 2’s complement,
subtract 1010100 - 1000011.
1. M = 1010100,
N = 1000011, 2’s complement of N = 0111101 2.
3. answer: 0010001
10010001
0111101
1010100
+
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.7' Using 2’s complement,
subtract 1000011 - 1010100.
1. M = 1000011,
N = 1010100, 2’s complement of N = 0101100 2.
3. answer: - (10000000 - 1101111) = -0010001
1101111
0101100
1000011
+
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.8 Using 1’s complement,
subtract 1010100 - 1000011.
1. M = 1010100,
N = 1000011, 1’s complement of N = 0111100 2.
3. answer: 0010001 (rn carry, call end-around carry)
10010000
0111100
1010100
+
Text Book: Digital Design 4th Ed.
Chap 1 1.5 Complements— Subtraction with Complements
Example 1.8' Using 1’s complement,
subtract 1000011 - 1010100.
1. M = 1000011,
N = 1010100, 1’s complement of N = 0101011 2.
3. answer: - (1111111 - 1101110) = -0010001
1101110
0101011
1000011
+
Text Book: Digital Design 4th Ed.
Chap 1 1.6 Signed Binary Numbers
Next table shows signed binary numbers
Text Book: Digital Design 4th Ed.
Chap 1 1.6 Signed Binary Numbers
Arithmetic addition Arithmetic subtraction See next table
Text Book: Digital Design 4th Ed.
Chap 1 1.6 Signed Binary Numbers
Arithmetic addition with comparison:
The addition of two numbers in the signed magnitude system follows the rules of ordinary arithmetic.
If the signed are the same, we add the two magnitudes and give the sum the common sign.
If the signed are different, we subtract the smaller magnitude from the larger and give the difference the sign of the larger magnitude. EX. (+25) + (-38) = -(38 - 25) = -13
Text Book: Digital Design 4th Ed.
Chap 1 1.6 Signed Binary Numbers
Arithmetic addition without comparison:
The addition of two signed binary numbers with negative numbers represented in signed 2’s complement form is obtained from the addition of the two numbers, including their signed bits. A carry out of the signed bit position is discarded (note that the 4th case).
See examples in next page.
Text Book: Digital Design 4th Ed.
Chap 1 1.6 Signed Binary Numbers
Arithmetic addition without comparison:
11101101 11110011 11111010 19
13 06 11111001
11110011 00000110 07
13 06
00000111 00001101 11111010 07
13 06 00010011
00001101 00000110 19
13 06
+ + +
−
− − +
+ +
− + −
+ + + +
− + +
+ + +
+ +
Text Book: Digital Design 4th Ed.
Chap 1 1.7 Binary Codes
BCD (Binary-Coded Decimal) Code Table 1.4 Decimal codes Table 1.5
(4 different Codes for the Decimal Digits) Gray code Table 1.6
ASCII character code Table 1.7 Error Detecting code
See next tables 1.4~1.7
Text Book: Digital Design 4th Ed.
Chap 1 1.7 Binary Codes
BCD Code
Decimal codes Gray code
ASCII character code Error Detecting code See next tables
Text Book: Digital Design 4th Ed.
Chap 1 1.7 Binary Codes
BCD Code
Decimal codes Gray code
ASCII character code Error Detecting code See next tables
Text Book: Digital Design 4th Ed.
Chap 1 1.7 Binary Codes
BCD Code
Decimal codes Gray code
ASCII character code Error Detecting code See next tables
Text Book: Digital Design 4th Ed.
Chap 1 1.7 Binary Codes
BCD Code
Decimal codes Gray code
ASCII character code Error Detecting code See next tables
Text Book: Digital Design 4th Ed.
Chap 1 1.8 Binary Storage and Registers
A register is a group of binary cells.
A register with n cells can store any discrete quantity of information that contains n bits.
A digital system is characterized by its registers and the components that perform data processing.
In digital systems, a register transfer operation is a basic operation that consists of a transfer of binary information from one set of registers into another set of registers.
Text Book: Digital Design 4th Ed.
Chap 1 1.8 Binary Storage and Registers
A register is a group of binary cells.
A register with n cells can store any discrete quantity of information that contains n bits.
A digital system is characterized by its registers and the components that perform data processing.
In digital systems, a register transfer operation is a basic operation that consists of a transfer of binary information from one set of registers into another set of registers.
Text Book: Digital Design 4th Ed.
Chap 1 1.8 Binary Storage and Registers
A register is a group of binary cells.
A register with n cells can store any discrete quantity of information that contains n bits.
A digital system is characterized by its registers and the components that perform data processing.
In digital systems, a register transfer operation is a basic operation that consists of a transfer of binary information from one set of registers into another set of registers.
Text Book: Digital Design 4th Ed.
Chap 1 1.9 Binary Logic
Binary logic consists of binary variables and a set of logical operations.
There are three basic logical operations:
AND, OR, and NOT.
AND, OR, NOT: Table 1.8 Binary signals: Figure 1.3
Logic circuit: Figures 1.4~1.6 Ex 1.35, 1.36
Binary logic consists of binary variables and a set of logical operations.
There are three basic logical operations:
AND, OR, and NOT.
See truth table 1.8 next page.