In this slide we have discussed, different arithmetic operations like addition, subtraction, multiplication and division for binary numbers. Addition and subtraction operation is achieved using one's complement and two's complement number system.
Binary addition, Binary subtraction, Negative number representation, Subtraction using 1’s complement and 2’s complement, Binary multiplication and division, Arithmetic in octal, hexadecimal number system, BCD and Excess – 3 arithmetic
Binary arithmetic is essential for digital computers and systems. It involves adding, subtracting, multiplying, and dividing binary numbers using basic rules. Signed binary numbers represent positive and negative values using sign-magnitude, 1's complement, and 2's complement methods. Arithmetic operations on signed binary numbers follow rules for handling the sign bit and complement representations.
The document discusses binary arithmetic operations including addition, subtraction, multiplication, and division. It provides examples and step-by-step explanations of how to perform each operation in binary. For addition and subtraction, it explains the rules and concepts like carry bits and two's complement. For multiplication, it describes the shift-and-add method. And for division, it outlines the long division approach of shift-and-subtract in binary.
Binary arithmetic is essential for digital computers and systems. It includes four rules for binary addition and subtraction. Binary addition examples show that adding two 1s results in a 1 in the next column with a carry of 1. Binary subtraction uses borrowing to subtract binary numbers, as shown through several examples.
Real numbers can be stored using floating point representation, which separates a real number into three parts: a sign bit, exponent, and mantissa. The exponent indicates the power of the base 10 that the mantissa is multiplied by. Common standards like IEEE 754 define single and double precision formats that allocate more bits for higher precision at the cost of range. Summarizing a floating point number involves determining the exponent by shifting the decimal, converting the number to a leading digit mantissa, and writing the sign, exponent, and mantissa based on the specified precision format.
The document discusses different number systems used in computing like binary, decimal, octal and hexadecimal. It explains that computers use the binary number system and each system has a base and set of digits. Decimal uses base 10 with 0-9 digits. Binary uses base 2 with 0-1 digits. Octal uses base 8 with 0-7 digits. Hexadecimal uses base 16 with 0-9 and A-F digits. It also provides examples of how to convert between decimal and these other number systems.
FYBSC IT Digital Electronics Unit I Chapter II Number System and Binary Arith...Arti Parab Academics
Binary Arithmetic:
Binary addition, Binary subtraction, Negative number representation,
Subtraction using 1’s complement and 2’s complement, Binary
multiplication and division, Arithmetic in octal number system,
Arithmetic in hexadecimal number system, BCD and Excess – 3
arithmetic.
This document discusses binary subtraction and multiplication. It provides 4 rules for binary subtraction: 0-0=0, 0-1=1, 1-0=1, and 1-1=0. An example of binary subtraction is shown subtracting 10010 from 10110 with a difference of 00100. Binary multiplication is also covered, noting the multiplier is always 1 or 0, and the 4 basic rules are: 0x0=0, 0x1=0, 1x0=0, and 1x1=1. An example of binary multiplication is shown multiplying 10001111 by 1101000 to get a product of 1101.
Binary addition, Binary subtraction, Negative number representation, Subtraction using 1’s complement and 2’s complement, Binary multiplication and division, Arithmetic in octal, hexadecimal number system, BCD and Excess – 3 arithmetic
Binary arithmetic is essential for digital computers and systems. It involves adding, subtracting, multiplying, and dividing binary numbers using basic rules. Signed binary numbers represent positive and negative values using sign-magnitude, 1's complement, and 2's complement methods. Arithmetic operations on signed binary numbers follow rules for handling the sign bit and complement representations.
The document discusses binary arithmetic operations including addition, subtraction, multiplication, and division. It provides examples and step-by-step explanations of how to perform each operation in binary. For addition and subtraction, it explains the rules and concepts like carry bits and two's complement. For multiplication, it describes the shift-and-add method. And for division, it outlines the long division approach of shift-and-subtract in binary.
Binary arithmetic is essential for digital computers and systems. It includes four rules for binary addition and subtraction. Binary addition examples show that adding two 1s results in a 1 in the next column with a carry of 1. Binary subtraction uses borrowing to subtract binary numbers, as shown through several examples.
Real numbers can be stored using floating point representation, which separates a real number into three parts: a sign bit, exponent, and mantissa. The exponent indicates the power of the base 10 that the mantissa is multiplied by. Common standards like IEEE 754 define single and double precision formats that allocate more bits for higher precision at the cost of range. Summarizing a floating point number involves determining the exponent by shifting the decimal, converting the number to a leading digit mantissa, and writing the sign, exponent, and mantissa based on the specified precision format.
The document discusses different number systems used in computing like binary, decimal, octal and hexadecimal. It explains that computers use the binary number system and each system has a base and set of digits. Decimal uses base 10 with 0-9 digits. Binary uses base 2 with 0-1 digits. Octal uses base 8 with 0-7 digits. Hexadecimal uses base 16 with 0-9 and A-F digits. It also provides examples of how to convert between decimal and these other number systems.
FYBSC IT Digital Electronics Unit I Chapter II Number System and Binary Arith...Arti Parab Academics
Binary Arithmetic:
Binary addition, Binary subtraction, Negative number representation,
Subtraction using 1’s complement and 2’s complement, Binary
multiplication and division, Arithmetic in octal number system,
Arithmetic in hexadecimal number system, BCD and Excess – 3
arithmetic.
This document discusses binary subtraction and multiplication. It provides 4 rules for binary subtraction: 0-0=0, 0-1=1, 1-0=1, and 1-1=0. An example of binary subtraction is shown subtracting 10010 from 10110 with a difference of 00100. Binary multiplication is also covered, noting the multiplier is always 1 or 0, and the 4 basic rules are: 0x0=0, 0x1=0, 1x0=0, and 1x1=1. An example of binary multiplication is shown multiplying 10001111 by 1101000 to get a product of 1101.
The document discusses different number systems including decimal, binary, octal, hexadecimal, BCD, gray code, and excess-3 code.
- Decimal uses base 10 with symbols 0-9. Binary uses base 2 with symbols 0-1. Octal uses base 8 with symbols 0-7. Hexadecimal uses base 16 with symbols 0-9 and A-F.
- BCD assigns a 4-bit binary code to each decimal digit 0-9. Gray code is a non-weighted cyclic code where successive codes differ in one bit. Excess-3 code derives from 8421 code by adding 0011.
1) Subtraction can be performed using addition by taking the complement of the number being subtracted.
2) For decimal numbers, the 10's complement is obtained by subtracting the number from 10^n where n is the number of digits.
3) Subtraction using complements involves taking the complement of the number being subtracted, adding it to the minuend, and optionally taking the complement of the sum depending on whether the minuend is greater than or less than the subtrahend.
1. Complements are used in digital computers to simplify subtraction and logical manipulations. 1's complement inverts all bits of a binary number. 2's complement inverts all bits and adds 1 to the least significant bit.
2. Subtraction using 1's complement involves taking the 1's complement of the subtrahend, adding it to the minuend, and handling any carry. Addition using 1's complements involves taking the complement of negative numbers before adding.
3. Subtraction using 2's complement involves taking the 2's complement of the subtrahend and adding it to the minuend. The result is negative if there is no carry out, and positive if there is a carry out.
FYBSC IT Digital Electronics Unit I Chapter I Number System and Binary Arithm...Arti Parab Academics
Number System:
Analog System, digital system, numbering system, binary number
system, octal number system, hexadecimal number system, conversion
from one number system to another, floating point numbers, weighted
codes binary coded decimal, non-weighted codes Excess – 3 code, Gray
code, Alphanumeric codes – ASCII Code, EBCDIC, ISCII Code,
Hollerith Code, Morse Code, Teletypewriter (TTY), Error detection
and correction, Universal Product Code, Code conversion.
This presentation summarizes Karnaugh maps, which are a graphical technique for simplifying Boolean expressions. Karnaugh maps arrange the terms of a truth table in a two-dimensional grid, making common factors between terms visible. They can be used for functions with up to five variables. Examples show how to identify groupings of terms and simplify expressions using Karnaugh maps for two, three, and four variables. The presentation concludes with an example of a five variable Karnaugh map.
The 10th Digital Learning Maths for IT sessions - The theme this time being the OCTAL number system which is used widely in computing circles - IP addressing being one.
Some straight forward conversion tasks for you!
Digital and Logic Design Chapter 1 binary_systemsImran Waris
This document discusses binary number systems and digital computing. It covers binary numbers, number base conversions between decimal, binary, octal and hexadecimal. It also discusses binary coding techniques like binary-coded decimal, signed magnitude representation, one's complement and two's complement representations for negative numbers.
This document discusses different methods for representing data in computers, including numeric and character representations. It covers representing signed and unsigned integers using methods like sign-magnitude, 1's complement, and 2's complement. It also discusses floating point number representation using the IEEE standard. Finally, it discusses character representation using ASCII and Unicode encoding schemes.
The document discusses various binary operations - addition, subtraction, multiplication, and division. It also covers 1's complement and 2's complement representations of signed binary numbers. Some key points covered include:
- Binary addition and subtraction use carry/borrow bits
- Multiplication is done by ANDing corresponding bits, division gives the quotient bit
- 1's complement is obtained by flipping all bits, 2's complement adds 1 to the 1's complement
- Subtraction can be performed using addition with 1's or 2's complement representations
- Signed numbers can be represented in sign-magnitude, 1's complement, or 2's complement forms.
- The document discusses number systems and bases, including binary, decimal, octal, and hexadecimal.
- It explains positional notation and how numbers are represented in different bases using place values that are powers of the base.
- The range of numbers that can be represented depends on the base and number of digits used. More digits allow larger numbers to be represented.
This document summarizes key concepts about combinational logic circuits. It defines combinational logic as circuits whose outputs depend only on the current inputs, in contrast to sequential logic which also depends on prior inputs. Common combinational circuits are described like half and full adders used for arithmetic, as well as decoders. The design process for combinational circuits is outlined involving specification, formulation, optimization and technology mapping. Implementation of functions using NAND and NOR gates is also discussed.
This document discusses various coding schemes including:
- Binary coded decimal (BCD) which assigns a weight to each digit position to represent decimal numbers. Other positively weighted codes and negatively weighted codes are also discussed.
- Gray code which minimizes the number of bit changes between adjacent values represented. This is useful for applications like thumbwheels.
- Character encoding standards like ASCII, EBCDIC, and Unicode which can represent larger character sets with more bits per character.
- Floating point number representation with sign, exponent and mantissa fields.
This document provides an introduction to Boolean algebra and logic gates. It discusses how Boolean algebra uses binary numbers and deals with logical operators like AND, OR, and NOT. Truth tables are introduced as a way to evaluate logical expressions and determine if they are tautologies or fallacies. George Boole is identified as developing the foundations of Boolean algebra. Key concepts like variables, literals, logical operators, and theorems like De Morgan's are defined. Methods for simplifying Boolean expressions using algebraic manipulation and Karnaugh maps are also covered.
This document provides an overview of binary codes and Boolean algebra concepts. It discusses various binary codes like BCD, excess-3, and Gray codes. It also covers logical operations in Boolean algebra like AND, OR, and NOT. Properties of Boolean algebra like duality, De Morgan's laws, and absorption laws are explained. Digital logic gates are introduced as implementations of Boolean functions.
Division algorithm involves dividing a dividend by a divisor to obtain a quotient and remainder. There are two types of division algorithms: restoring division and non-restoring division. Non-restoring division was demonstrated by dividing 8 by 3 in binary form using a divisor of 0011, a minuend of 1000, and a running difference stored in a accumulator to iteratively obtain the quotient 1000 and keep the division process non-negative.
This document discusses binary coded decimal (BCD). It defines BCD as a numerical code that assigns a 4-bit binary code to each decimal digit from 0 to 9. Numbers larger than 9 are expressed digit by digit in BCD. BCD is used because it is easy to encode/decode decimals and useful for digital systems that display decimal outputs. The document also describes how addition and subtraction are performed in BCD through binary addition rules and handling carries.
- Decimal, binary, octal, and hexadecimal are different number systems used to represent numeric values.
- Decimal uses 10 digits (0-9), binary uses two digits (0-1), octal uses 8 digits (0-7), and hexadecimal uses 16 digits (0-9 and A-F).
- Each system has a base or radix - the number of unique digits used. Decimal is base 10, binary base 2, octal base 8, and hexadecimal base 16.
- Numbers can be converted between these systems using division and multiplication operations that take into account the place value of each digit based on the system's base.
This document discusses Boolean algebra and logic gates. It begins by defining basic logic gates like AND, OR, NOT, NAND, NOR, and XOR. It then provides truth tables and circuit diagrams for each gate. The document also covers Boolean algebra concepts like Boolean constants, variables, functions, and theorems. Additional topics discussed include Boolean laws, converting between logic circuits and equations, adding binary numbers, and applications to computer memory and processing.
This document discusses different number systems including binary, octal, hexadecimal, and their arithmetic operations. It provides examples of adding and subtracting numbers in these systems. Binary addition follows four rules: 0 + 0 = 0, 0 + 1 = 1, 1 + 0 = 1, 1 + 1 = 10. Octal addition is like decimal addition except when the column sum is greater than 7, 8 is subtracted and 1 is carried. Hexadecimal uses numbers 0-9 and letters A-F to represent values 10-15. It provides a table of decimal and hexadecimal equivalents. Hexadecimal addition involves treating multi-digit numbers as in decimal. Subtraction uses two's complement or 15's and 16's complement methods.
This document discusses binary number representations. It begins with an overview of Boolean algebra and logical operations. It then covers representing positive integers using binary and other number systems such as hexadecimal and octal. Negative integers are represented using sign-magnitude, 1's complement, bias, and 2's complement representations. Properties of 2's complement include a unique representation for 0 and performing addition and subtraction. Floating point numbers and strings are also briefly mentioned.
The document discusses different number systems including decimal, binary, octal, hexadecimal, BCD, gray code, and excess-3 code.
- Decimal uses base 10 with symbols 0-9. Binary uses base 2 with symbols 0-1. Octal uses base 8 with symbols 0-7. Hexadecimal uses base 16 with symbols 0-9 and A-F.
- BCD assigns a 4-bit binary code to each decimal digit 0-9. Gray code is a non-weighted cyclic code where successive codes differ in one bit. Excess-3 code derives from 8421 code by adding 0011.
1) Subtraction can be performed using addition by taking the complement of the number being subtracted.
2) For decimal numbers, the 10's complement is obtained by subtracting the number from 10^n where n is the number of digits.
3) Subtraction using complements involves taking the complement of the number being subtracted, adding it to the minuend, and optionally taking the complement of the sum depending on whether the minuend is greater than or less than the subtrahend.
1. Complements are used in digital computers to simplify subtraction and logical manipulations. 1's complement inverts all bits of a binary number. 2's complement inverts all bits and adds 1 to the least significant bit.
2. Subtraction using 1's complement involves taking the 1's complement of the subtrahend, adding it to the minuend, and handling any carry. Addition using 1's complements involves taking the complement of negative numbers before adding.
3. Subtraction using 2's complement involves taking the 2's complement of the subtrahend and adding it to the minuend. The result is negative if there is no carry out, and positive if there is a carry out.
FYBSC IT Digital Electronics Unit I Chapter I Number System and Binary Arithm...Arti Parab Academics
Number System:
Analog System, digital system, numbering system, binary number
system, octal number system, hexadecimal number system, conversion
from one number system to another, floating point numbers, weighted
codes binary coded decimal, non-weighted codes Excess – 3 code, Gray
code, Alphanumeric codes – ASCII Code, EBCDIC, ISCII Code,
Hollerith Code, Morse Code, Teletypewriter (TTY), Error detection
and correction, Universal Product Code, Code conversion.
This presentation summarizes Karnaugh maps, which are a graphical technique for simplifying Boolean expressions. Karnaugh maps arrange the terms of a truth table in a two-dimensional grid, making common factors between terms visible. They can be used for functions with up to five variables. Examples show how to identify groupings of terms and simplify expressions using Karnaugh maps for two, three, and four variables. The presentation concludes with an example of a five variable Karnaugh map.
The 10th Digital Learning Maths for IT sessions - The theme this time being the OCTAL number system which is used widely in computing circles - IP addressing being one.
Some straight forward conversion tasks for you!
Digital and Logic Design Chapter 1 binary_systemsImran Waris
This document discusses binary number systems and digital computing. It covers binary numbers, number base conversions between decimal, binary, octal and hexadecimal. It also discusses binary coding techniques like binary-coded decimal, signed magnitude representation, one's complement and two's complement representations for negative numbers.
This document discusses different methods for representing data in computers, including numeric and character representations. It covers representing signed and unsigned integers using methods like sign-magnitude, 1's complement, and 2's complement. It also discusses floating point number representation using the IEEE standard. Finally, it discusses character representation using ASCII and Unicode encoding schemes.
The document discusses various binary operations - addition, subtraction, multiplication, and division. It also covers 1's complement and 2's complement representations of signed binary numbers. Some key points covered include:
- Binary addition and subtraction use carry/borrow bits
- Multiplication is done by ANDing corresponding bits, division gives the quotient bit
- 1's complement is obtained by flipping all bits, 2's complement adds 1 to the 1's complement
- Subtraction can be performed using addition with 1's or 2's complement representations
- Signed numbers can be represented in sign-magnitude, 1's complement, or 2's complement forms.
- The document discusses number systems and bases, including binary, decimal, octal, and hexadecimal.
- It explains positional notation and how numbers are represented in different bases using place values that are powers of the base.
- The range of numbers that can be represented depends on the base and number of digits used. More digits allow larger numbers to be represented.
This document summarizes key concepts about combinational logic circuits. It defines combinational logic as circuits whose outputs depend only on the current inputs, in contrast to sequential logic which also depends on prior inputs. Common combinational circuits are described like half and full adders used for arithmetic, as well as decoders. The design process for combinational circuits is outlined involving specification, formulation, optimization and technology mapping. Implementation of functions using NAND and NOR gates is also discussed.
This document discusses various coding schemes including:
- Binary coded decimal (BCD) which assigns a weight to each digit position to represent decimal numbers. Other positively weighted codes and negatively weighted codes are also discussed.
- Gray code which minimizes the number of bit changes between adjacent values represented. This is useful for applications like thumbwheels.
- Character encoding standards like ASCII, EBCDIC, and Unicode which can represent larger character sets with more bits per character.
- Floating point number representation with sign, exponent and mantissa fields.
This document provides an introduction to Boolean algebra and logic gates. It discusses how Boolean algebra uses binary numbers and deals with logical operators like AND, OR, and NOT. Truth tables are introduced as a way to evaluate logical expressions and determine if they are tautologies or fallacies. George Boole is identified as developing the foundations of Boolean algebra. Key concepts like variables, literals, logical operators, and theorems like De Morgan's are defined. Methods for simplifying Boolean expressions using algebraic manipulation and Karnaugh maps are also covered.
This document provides an overview of binary codes and Boolean algebra concepts. It discusses various binary codes like BCD, excess-3, and Gray codes. It also covers logical operations in Boolean algebra like AND, OR, and NOT. Properties of Boolean algebra like duality, De Morgan's laws, and absorption laws are explained. Digital logic gates are introduced as implementations of Boolean functions.
Division algorithm involves dividing a dividend by a divisor to obtain a quotient and remainder. There are two types of division algorithms: restoring division and non-restoring division. Non-restoring division was demonstrated by dividing 8 by 3 in binary form using a divisor of 0011, a minuend of 1000, and a running difference stored in a accumulator to iteratively obtain the quotient 1000 and keep the division process non-negative.
This document discusses binary coded decimal (BCD). It defines BCD as a numerical code that assigns a 4-bit binary code to each decimal digit from 0 to 9. Numbers larger than 9 are expressed digit by digit in BCD. BCD is used because it is easy to encode/decode decimals and useful for digital systems that display decimal outputs. The document also describes how addition and subtraction are performed in BCD through binary addition rules and handling carries.
- Decimal, binary, octal, and hexadecimal are different number systems used to represent numeric values.
- Decimal uses 10 digits (0-9), binary uses two digits (0-1), octal uses 8 digits (0-7), and hexadecimal uses 16 digits (0-9 and A-F).
- Each system has a base or radix - the number of unique digits used. Decimal is base 10, binary base 2, octal base 8, and hexadecimal base 16.
- Numbers can be converted between these systems using division and multiplication operations that take into account the place value of each digit based on the system's base.
This document discusses Boolean algebra and logic gates. It begins by defining basic logic gates like AND, OR, NOT, NAND, NOR, and XOR. It then provides truth tables and circuit diagrams for each gate. The document also covers Boolean algebra concepts like Boolean constants, variables, functions, and theorems. Additional topics discussed include Boolean laws, converting between logic circuits and equations, adding binary numbers, and applications to computer memory and processing.
This document discusses different number systems including binary, octal, hexadecimal, and their arithmetic operations. It provides examples of adding and subtracting numbers in these systems. Binary addition follows four rules: 0 + 0 = 0, 0 + 1 = 1, 1 + 0 = 1, 1 + 1 = 10. Octal addition is like decimal addition except when the column sum is greater than 7, 8 is subtracted and 1 is carried. Hexadecimal uses numbers 0-9 and letters A-F to represent values 10-15. It provides a table of decimal and hexadecimal equivalents. Hexadecimal addition involves treating multi-digit numbers as in decimal. Subtraction uses two's complement or 15's and 16's complement methods.
This document discusses binary number representations. It begins with an overview of Boolean algebra and logical operations. It then covers representing positive integers using binary and other number systems such as hexadecimal and octal. Negative integers are represented using sign-magnitude, 1's complement, bias, and 2's complement representations. Properties of 2's complement include a unique representation for 0 and performing addition and subtraction. Floating point numbers and strings are also briefly mentioned.
This document discusses various methods for improving the performance of multiplication operations, including using shifts and adds instead of actual multiplication, and Booth's algorithm. It examines these methods through examples of multiplying pairs of hexadecimal numbers. Booth's algorithm works by repeatedly adding or subtracting the multiplicand based on examining pairs of bits in the multiplier, allowing multiplication to be performed with only shifts. The document also covers non-restoring and non-performing division algorithms.
The document discusses various methods for representing signed integers in binary, including signed magnitude, 1's complement, 2's complement, and excess binary. It provides examples of adding, subtracting, and multiplying numbers in binary using these different representations. 2's complement is described as the most common method used today due to its simplicity. The key aspects of 2's complement include representing negative numbers by flipping all bits and adding 1, and performing subtraction by adding the 2's complement. Overflow conditions for addition are also explained.
The document discusses binary numbers and arithmetic. It covers topics like addition, subtraction, multiplication in binary, and different methods for representing signed integers like two's complement. It explains how two's complement works by using bitwise operations to represent negative numbers. For example, it shows that adding two positive 8-bit binary numbers in two's complement is simply the bitwise addition, while subtraction can be performed by adding the number and the two's complement of the subtrahend. The document also discusses issues like carry vs overflow that can occur during binary arithmetic operations.
The document discusses different number base systems including binary, decimal, octal, and hexadecimal. It provides the following information:
- The binary system uses two digits, 0 and 1, and has a base of 2. Decimal is base 10 and uses digits 0-9.
- Converting between decimal and binary involves repeatedly dividing the number by 2 and recording the remainders as binary digits.
- Octal is base 8 using digits 0-7. Hexadecimal is base 16 using digits 0-9 and A-F.
- Rules for addition, subtraction, and multiplication are provided for binary, octal, and hexadecimal number systems. Conversion between different bases and number systems is also covered.
The document provides an exam schedule for the week of July 19-24 listing the courses being tested each day. On Thursday, July 19 exams are scheduled for Computer Fundamentals and Physics lab. Friday has exams for English and Calculus. Monday's exam is for Humanities. Tuesday's exams are for PE and Sociology/Anthropology.
Binary addition and subtraction can be performed using simple rules. For addition, binary digits are added from right to left like decimal numbers. The sum of two 1s is 0 with a carry of 1. For subtraction, the subtrahend's binary complement is added to the minuend. If there is a carry, the result is positive, otherwise it is negative. Representing negative binary numbers can be done through sign-magnitude or complement methods. Complement is preferred for arithmetic as it works with standard addition rules.
Karnaugh maps are a graphical method used to minimize logic functions. They arrange the minterms of a function in a grid based on the number of variables. Groupings of adjacent 1s in the map correspond to simplified logic terms. The largest possible groupings are used to find a minimum logic expression for the function. Don't cares can also be grouped and treated as 0s or 1s to further simplify expressions.
This document discusses number systems and binary arithmetic. It covers decimal, binary, octal and hexadecimal number systems. For binary, it explains how to convert between decimal and binary, and discusses binary addition, subtraction, and complement representations. The key advantages of using two's complement for binary numbers are that addition and subtraction can both be performed using the same hardware circuitry.
This document discusses arithmetic functions in digital circuits. It begins by introducing iterative combinational circuits and binary adders such as half adders, full adders, and ripple carry adders. It then covers binary subtraction using two's complement representation and signed binary numbers. The document explains various signed number representations including signed magnitude and signed complement. It provides examples of addition and subtraction for signed integers in these representations.
This document contains an exercise on digital electronics concepts including:
1. The differences between analog and digital measurements and pros and cons of analog vs digital electronics.
2. Tables defining binary, octal, decimal, and hexadecimal number systems.
3. Practice problems converting between number systems and performing basic binary math operations like addition, subtraction, multiplication, and division.
4. An independent practice section with additional problems converting between number systems and performing binary math.
This document discusses binary arithmetic operations including addition, subtraction, multiplication, and division that computers perform at a hardware level. It provides examples of how each operation is completed in binary format step-by-step, following specific rules like two's complement for subtraction. Key concepts covered are binary number representation, bit shifting for multiplication and division, and carrying/borrowing for addition and subtraction.
The document discusses different types of adders used in digital circuits, including half adders and full adders. It explains that a half adder adds two binary digits and produces a sum and carry output, while a full adder adds three binary digits including an input carry and produces a sum and output carry. Truth tables are provided for half adders and full adders to illustrate their functionality. The document also covers binary subtraction using 1's and 2's complement methods.
The document discusses different number systems including binary, decimal, and hexadecimal. It explains that binary uses two digits (0,1), decimal uses ten digits (0-9), and hexadecimal uses sixteen digits (0-9 plus A-F). All of these systems are positional number systems where the value of each digit depends on its place value. The document then discusses binary addition and subtraction, two's complement representation for signed numbers, hexadecimal addition, and concepts like nibbles and bytes.
In this slide, the following topics are discussed. Radix number system, Binary number system, Octal, Hexadecimal, Octal to Binary, Binary to Octal, Hexadecimal to binary, Binary to Hexadecimal, BCD codes, Gray codes, one's complement, two's complement, signed magnitude number system, fixed point representation, floating point representation and their conversion.
The document discusses different number systems including binary, decimal, and hexadecimal. It defines base-N number systems and provides examples of decimal, binary, and hexadecimal numbers. Key concepts covered include positional notation, bits and bytes, addition and subtraction in different bases, signed numbers represented using sign-magnitude and two's complement, and arithmetic operations like addition and subtraction on signed binary numbers. Sign extension is introduced as an important concept for performing arithmetic on numbers of different bit-widths in a signed system.
The document discusses different number systems including binary, decimal, and hexadecimal. It defines base-N number systems and provides examples of decimal, binary, and hexadecimal numbers. Key concepts covered include positional notation, bits and bytes, addition and subtraction in different bases, signed numbers represented using sign-magnitude and two's complement, and arithmetic operations like addition and subtraction on signed binary numbers. Sign extension is introduced as an important concept for performing arithmetic on numbers of different bit-widths in a signed system.
Reviewing number systems involves understanding various ways in which numbers can be represented and manipulated. Here's a brief overview of different number systems:
Decimal System (Base-10):
This is the most common number system used by humans.
It uses 10 digits (0-9) to represent numbers.
Each digit's position represents a power of 10.
For example, the number 245 in decimal represents (2 * 10^2) + (4 * 10^1) + (5 * 10^0).
Binary System (Base-2):
Used internally by almost all modern computers.
It uses only two digits: 0 and 1.
Each digit's position represents a power of 2.
For example, the binary number 1011 represents (1 * 2^3) + (0 * 2^2) + (1 * 2^1) + (1 * 2^0) in decimal, which equals 11.
Octal System (Base-8):
Less commonly used, but still relevant in some computer programming contexts.
It uses eight digits: 0 to 7.
Each digit's position represents a power of 8.
For example, the octal number 34 represents (3 * 8^1) + (4 * 8^0) in decimal, which equals 28.
Hexadecimal System (Base-16):
Widely used in computer science and programming.
It uses sixteen digits: 0 to 9 followed by A to F (representing 10 to 15).
Each digit's position represents a power of 16.
Often used to represent memory addresses and binary data more compactly.
For example, the hexadecimal number 2F represents (2 * 16^1) + (15 * 16^0) in decimal, which equals 47.
Each number system has its own advantages and applications. Decimal is intuitive for human comprehension, binary is fundamental in computing due to its simplicity for electronic systems, octal and hexadecimal are often used for human-readable representations of binary data in programming, particularly when dealing with memory addresses and byte-oriented data.
Understanding these number systems is essential for various fields such as computer science, electrical engineering, and mathematics, as they provide different perspectives on how numbers can be represented and manipulated.
The document discusses different number systems including binary, decimal, and hexadecimal. It defines base-N number systems and provides examples of decimal, binary, and hexadecimal numbers. Key concepts covered include positional notation, bits and bytes, addition and subtraction in different bases, signed numbers represented using sign-magnitude and two's complement, and arithmetic operations like addition and subtraction on signed binary numbers. Sign extension is introduced as an important concept for performing arithmetic on numbers of different bit-widths in a signed system.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
1. Binary Arithmetic Operations
Presented by
Dr. Shirshendu Roy
Homepage - https://digitalsystemdesign.in/
Course - Digital Electronics
Dr. Shirshendu Roy Binary Arithmetic Operations 1 / 13
2. Binary Addition
Value of a binary digit is either ’0’ or ’1’. Thus addition of two binary digits
can be greater than one bit. Addition of two binary bits is shown below.
0
0
0
0
+
0
1
1
0
+
1
0
1
0
+
1
1
0
1
+
Sum
Carry Sum
Carry
Sum
Carry
Sum
Carry
In binary addition, when both the digits are ’1’ then addition result is greater
than 1 bit. The extra bit is called as Carry. In this situation, Carry is
generated.
Dr. Shirshendu Roy Binary Arithmetic Operations 2 / 13
3. Addition of Three Bits
0
0
0
0
+
0
1
1
0
+
0
0
1
0
+
0
1
0
1
+
Sum
Carry Sum
Carry
Sum
Carry
Sum
Carry
0 0
1 1
1
0
1
0
+
1
1
0
1
+
1
0
0
1
+
1
1
1
1
+
Sum
Carry Sum
Carry
Sum
Carry
Sum
Carry
0 0
1 1
A
B
C
Dr. Shirshendu Roy Binary Arithmetic Operations 3 / 13
4. Binary Subtraction
Thus subtraction of two binary digits can not be greater than one bit. Sub-
traction of two binary bits is shown below.
0
0
0
0
1
1
-
1
0
1
1
1
0
Difference
1
Borrow
Difference
Difference Difference
-
0
Borrow
-
0
Borrow -
0
Borrow
In binary subtraction, bit ’1’ can not be subtracted from bit ’0’. Thus to do
this subtraction extra bit ’1’ is borrowed. The extra bit is called as Borrow.
Dr. Shirshendu Roy Binary Arithmetic Operations 4 / 13
5. Subtraction Operation for Three Bits (A − B − C)
0
0
0
-
0
1
1
-
0
0
1
-
0
1
0
-
0 0
1 1
1
0
1
-
1
1
0
-
1
0
0
-
1
1
1
-
0 0
1 1
1
Borrow
A
B
C
Difference Difference Difference
Difference
Difference
Difference
Difference
Difference
0
Borrow
1
Borrow
1
Borrow
1
Borrow
0
Borrow
0
Borrow
0
Borrow
Dr. Shirshendu Roy Binary Arithmetic Operations 5 / 13
6. Strategy for Subtraction Operation fo 3-bits
The subtraction operation for 3-bits is
A − B − C = A − (B + C)
First, B + C is evaluated and the result is subtracted from A. An example
is shown below
1
1
-
0
A
B
C
?
1
0
A
(B+C)
?
0
-
Subtraction
Not Possible
(A < (B + C))
1
0
A
(B+C) 0
-
1
Borrow
0
Difference
Dr. Shirshendu Roy Binary Arithmetic Operations 6 / 13
7. Addition/Subtraction using One’s Complement
There is no subtraction operation in One’s Complement Number System.
Only addition operation is carried out.
In the operation (X − Y ), X is added to −Y (represented in One’s Com-
plement Number System).
In this case, the result can be written like
X + (2n
− ulp) − Y = (2n
− ulp) + (X − Y ) (1)
where ulp = 20
= 1. This can be explained below with the value of n = 8
X + (256 − 1) − Y = 255 + (X − Y ) (2)
Example: X = 5, Y = 6 then find X − Y for n = 8.
In this case, the result is 28
− 1 + X − Y = 256 + 5 − 6 = 254.
Here, 254 is one’s complement representation of −1.
Dr. Shirshendu Roy Binary Arithmetic Operations 7 / 13
8. Addition/Subtraction Example in One’s Complement
0 0 1 1 0 1 1 0
1 1 0 1 0 1 1 1
+
0
1
0
1
1
0
0
0
0
1
1
1
0
1
1
1
(54)10
(−40)10
(13)10
A
B
Carry
Cout
0
1 1 0 0 1 0 0 1
0 0 1 0 1 0 0 0
+
0
1
0
0
0
1
1
1
1
0
0
0
1
0
0
0
(−54)10
(40)10
(−14)10
A
B
Carry
Sum
0
Cin Cin
Cout
0 0 1 1 0 1 1 0
+
0
0
1
1
1
0
0
1
0
0
0
0
0
0
1
0
(54)10
(94)10
A
B
Carry
Sum
Cout
0
1 1 0 0 1 0 0 1
+
1
0
0
0
0
0
1
0
1
1
1
1
1
1
0
1
(−54)10
(−14)90
A
B
Carry 0
Cin Cin
0 0 1 0 1 0 0 0 (40)10 1 1 0 1 0 1 1 1 (−40)10
1
+
0
1
1
1
0
0
0
0 (14)10
Sum
Cout
1
+
1
0
0
0
0
1
0
1 (−94)10
Sum
Initially Cin = 0. A correction step is required whenever Cout bit is ’1’. In
the correction step, this bit is added to the result at LSB position.
Dr. Shirshendu Roy Binary Arithmetic Operations 8 / 13
9. Addition/Subtraction using Two’s Complement
There is also no subtraction operation in Two’s Complement Number System.
Only addition operation is carried out.
In the operation (X − Y ), X is added to −Y (represented in Two’s Com-
plement Number System).
In this case, the result can be written like
X + 2n
− Y = 2n
+ (X − Y ) (3)
Example: X = 5, Y = 6 then find X − Y for n = 8.
In this case, the result is 28
+ X − Y = 256 + 5 − 6 = 255.
Here, 255 is two’s complement representation of −1.
Dr. Shirshendu Roy Binary Arithmetic Operations 9 / 13