ECEN2102 Digital Logic Design Lecture 1 Numbers Systems Abdullah Said Alkalbani University of Buraimi

Overview °The design of computers It all starts with numbers Building circuits Building computing machines °Digital systems °Understanding decimal numbers °Binary and octal numbers The basis of computers! °Conversion between different number systems

Digital Computer Systems °Digital systems consider discrete amounts of data. °Examples 26 letters in the alphabet 10 decimal digits °Larger quantities can be built from discrete values: Words made of letters Numbers made of decimal digits (e.g ) °Computers operate on binary values (0 and 1) °Easy to represent binary values electrically Voltages and currents. Can be implemented using circuits Create the building blocks of modern computers

Understanding Decimal Numbers °Decimal numbers are made of decimal digits: (0,1,2,3,4,5,6,7,8,9) °But how many items does a decimal number represent? 8653 = 8x x x x10 0 °What about fractions? = 9x x x x x x x10 -2 In formal notation -> ( ) 10

Understanding Octal Numbers °Octal numbers are made of octal digits: (0,1,2,3,4,5,6,7) °How many items does an octal number represent? (4536) 8 = 4x x x x8 0 = (1362) 10 °What about fractions? (465.27) 8 = 4x x x x x8 -2 °Octal numbers don’t use digits 8 or 9

Understanding Hexadecimal Numbers °Hexadecimal numbers are made of 16 digits: (0,1,2,3,4,5,6,7,8,9,A, B, C, D, E, F) °How many items does an hex number represent? (3A9F) 16 = 3x x x x16 0 = °What about fractions? (2D3.5) 16 = 2x x x x16 -1 = °Note that each hexadecimal digit can be represented with four bits. (1110) 2 = (E) 16 °Groups of four bits are called a nibble. (1110) 2

Understanding Binary Numbers °Binary numbers are made of binary digits (bits): 0 and 1 °How many items does an binary number represent? (1011) 2 = 1x x x x2 0 = (11) 10 °What about fractions? (110.10) 2 = 1x x x x x2 -2 °Groups of eight bits are called a byte ( ) 2 °Groups of four bits are called a nibble. (1101) 2

Why Use Binary Numbers? °Easy to represent 0 and 1 using electrical values. °Possible to tolerate noise. °Easy to transmit data °Easy to build binary circuits. AND Gate 1 0 0

Putting It All Together °Binary, octal, and hexadecimal similar °Easy to build circuits to operate on these representations °Possible to convert between the three formats

Binary Addition °Binary addition is very simple. °This is best shown in an example of adding two binary numbers… carries

Binary Subtraction °We can also perform subtraction (with borrows in place of carries). °Let’s subtract (10111) 2 from ( ) 2 … borrows

Binary Multiplication °Binary multiplication is much the same as decimal multiplication, except that the multiplication operations are much simpler… X

Conversion Between Number Bases Decimal(base 10) Octal(base 8) Binary(base 2) Hexadecimal (base16) °Learn to convert between bases.

Convert an Integer from Decimal to Binary 1.Divide decimal number by the base (e.g. 2) 2.The remainder is the lowest-order digit 3.Repeat first two steps until no divisor remains. For each digit position: Example for (13) 10: Integer Quotient 13/2 = 6 + ½ a 0 = 1 6/2 = a 1 = 0 3/2 = 1 + ½ a 2 = 1 1/2 = 0 + ½ a 3 = 1 RemainderCoefficient Answer (13) 10 = (a 3 a 2 a 1 a 0 ) 2 = (1101) 2

The Growth of Binary Numbers n2n2n 02 0 = = = = = = = =128 n2n2n 82 8 = = = = = =1M =1G =1T Mega Giga Tera

Converting Between Base 16 and Base 2 °Conversion is easy!  Determine 4-bit value for each hex digit °Note that there are 2 4 = 16 different values of four bits °Easier to read and write in hexadecimal. °Representations are equivalent! 3A9F 16 = A9F

Converting Between Base 16 and Base 8 1.Convert from Base 16 to Base 2 2.Regroup bits into groups of three starting from right 3.Ignore leading zeros 4.Each group of three bits forms an octal digit = A9F 16 = A9F

How To Represent Signed Numbers Plus and minus sign used for decimal numbers: 25 (or +25), -16, etc..For computers, desirable to represent everything as bits. Three types of signed binary number representations: signed magnitude, 1’s complement, 2’s complement. In each case: left-most bit indicates sign: positive (0) or negative (1). Consider signed magnitude: = Sign bitMagnitude = Sign bitMagnitude

One’s Complement Representation The one’s complement of a binary number involves inverting all bits. 1’s comp of is ’s comp of is For an n bit number N the 1’s complement is (2 n -1) – N. Called diminished radix complement by Mano since 1’s complement for base (radix 2). To find negative of 1’s complement number take the 1’s complement = Sign bitMagnitude = Sign bitMagnitude

Two’s Complement Representation The two’s complement of a binary number involves inverting all bits and adding 1. 2’s comp of is ’s comp of is For an n bit number N the 2’s complement is (2 n -1) – N + 1. Called radix complement by Mano since 2’s complement for base (radix 2). To find negative of 2’s complement number take the 2’s complement = Sign bitMagnitude = Sign bitMagnitude

Two’s Complement Shortcuts °Algorithm 1 – Simply complement each bit and then add 1 to the result. Finding the 2’s complement of ( ) 2 and of its 2’s complement… N = [N] = °Algorithm 2 – Starting with the least significant bit, copy all of the bits up to and including the first 1 bit and then complementing the remaining bits. N = [N] =

Finite Number Representation °Machines that use 2’s complement arithmetic can represent integers in the range -2 n-1 <= N <= 2 n-1 -1 where n is the number of bits available for representing N. Note that 2 n-1 -1 = ( ) 2 and –2 n-1 = ( ) 2 oFor 2’s complement more negative numbers than positive. oFor 1’s complement two representations for zero. oFor an n bit number in base (radix) z there are z n different unsigned values. (0, 1, …z n-1 )

1’s Complement Addition °Using 1’s complement numbers, adding numbers is easy. °For example, suppose we wish to add +(1100) 2 and +(0001) 2. °Let’s compute (12) 10 + (1) 10. (12) 10 = +(1100) 2 = in 1’s comp. (1) 10 = +(0001) 2 = in 1’s comp Add carry Final Result Step 1: Add binary numbers Step 2: Add carry to low-order bit Add

1’s Complement Subtraction °Using 1’s complement numbers, subtracting numbers is also easy. °For example, suppose we wish to subtract +(0001) 2 from +(1100) 2. °Let’s compute (12) 10 - (1) 10. (12) 10 = +(1100) 2 = in 1’s comp. (-1) 10 = -(0001) 2 = in 1’s comp Add carry Final Result Step 1: Take 1’s complement of 2 nd operand Step 2: Add binary numbers Step 3: Add carry to low order bit 1’s comp Add

2’s Complement Addition °Using 2’s complement numbers, adding numbers is easy. °For example, suppose we wish to add +(1100) 2 and +(0001) 2. °Let’s compute (12) 10 + (1) 10. (12) 10 = +(1100) 2 = in 2’s comp. (1) 10 = +(0001) 2 = in 2’s comp Final Result Step 1: Add binary numbers Step 2: Ignore carry bit Add Ignore

2’s Complement Subtraction °Using 2’s complement numbers, follow steps for subtraction °For example, suppose we wish to subtract +(0001) 2 from +(1100) 2. °Let’s compute (12) 10 - (1) 10. (12) 10 = +(1100) 2 = in 2’s comp. (-1) 10 = -(0001) 2 = in 2’s comp Final Result Step 1: Take 2’s complement of 2 nd operand Step 2: Add binary numbers Step 3: Ignore carry bit 2’s comp Add Ignore Carry

2’s Complement Subtraction: Example #2 °Let’s compute (13) 10 – (5) 10. (13) 10 = +(1101) 2 = (01101) 2 (-5) 10 = -(0101) 2 = (11011) 2 °Adding these two 5-bit codes… °Discarding the carry bit, the sign bit is seen to be zero, indicating a correct result. Indeed, (01000) 2 = +(1000) 2 = +(8) carry

2’s Complement Subtraction: Example #3 °Let’s compute (5) 10 – (12) 10. (-12) 10 = -(1100) 2 = (10100) 2 (5) 10 = +(0101) 2 = (00101) 2 °Adding these two 5-bit codes… °Here, there is no carry bit and the sign bit is 1. This indicates a negative result, which is what we expect. (11001) 2 = -(7)

ASCII Code °American Standard Code for Information Interchange °ASCII is a 7-bit code, frequently used with an 8 th bit for error detection (more about that in a bit). CharacterASCII (bin) ASCII (hex) DecimalOctal A B C … Z a … 1 ‘

ASCII Codes and Data Transmission °ASCII Codes °A – Z (26 codes), a – z (26 codes) °0-9 (10 codes), others °Complete listing in Mano text °Transmission susceptible to noise

Binary Data Storage Binary cells store individual bits of data Multiple cells form a register. Data in registers can indicate different values Hex (decimal) BCD ASCII Binary Cell

Register Transfer °Data can move from register to register. °Digital logic used to process data °We will learn to design this logic Register ARegister B Register C Digital Logic Circuits

Transfer of Information °Data input at keyboard °Shifted into place °Stored in memory NOTE: Data input in ASCII

Building a Computer °We need processing °We need storage °We need communication °You will learn to use and design these components.

Summary °Binary numbers are made of binary digits (bits) °Addition, subtraction, and multiplication in binary °Binary numbers can also be represented in octal and hexadecimal °Easy to convert between binary, octal, and hexadecimal °Signed numbers represented in signed magnitude, 1’s complement, and 2’s complement °2’s complement most important (only 1 representation for zero). °Important to understand treatment of sign bit for 1’s and 2’s complement. °ASCII code used to represent characters (including those on the keyboard) °Registers store binary data °Next time: Building logic circuits!