The document discusses error detection and correction techniques. It explains that bit errors can occur during data transmission due to noise. Various error detection strategies are described, including parity schemes, checksum, and CRC. Parity schemes like even and odd parity can detect some errors but not all. Checksum adds up data words and transmits the sum. CRC generates a polynomial for data and divisor, allowing it to detect more error types than checksum. For error correction, Hamming codes are discussed which can detect and correct single bit errors by using redundant parity bits and calculating separate parities.
This document discusses error detection methods for data transmission. It covers parity checks, which add redundant bits to detect errors. Simple parity check can detect single-bit errors and odd-length burst errors by making the number of 1s in each data unit even or odd. Two-dimensional parity check arranges bits in a table, calculates parity for each row and column, and sends this frame. It can detect burst errors up to the length of redundant bits with very high probability. The lecture provides examples to illustrate how parity checks work to detect errors.
The sender initializes the checksum to 0 and adds all data items and the checksum. However, 36 cannot be expressed in 4 bits. The extra two bits are wrapped and added with the sum to create the wrapped sum value 6. The sum is then complemented, resulting in the checksum value 9 (15 − 6 = 9).
This document provides an overview of error detection and correction techniques used in digital communication systems. It defines different types of errors like single bit errors and burst errors that can occur during signal transmission. It also describes various error detection methods like parity checking, checksum detection, and cyclic redundancy check (CRC). The document explains concepts of forward error correction (FEC), automatic repeat request (ARQ), and CRC checkers. It provides block diagrams of the basic ARQ system and its operations.
Error correction techniques include retransmission of data when errors are detected and forward error correction where error correction codes are used to automatically correct errors. Hamming codes can detect and correct errors by using redundancy bits in the data and calculating parity checks to determine the position of errors. The document provides an example of how hamming codes work by adding redundancy bits to input data and using the parity checks to detect errors in the encoded data.
This document provides information about error correction and detection. It discusses different types of errors like single bit errors and burst errors. It then explains various error detection techniques like vertical redundancy check (VRC), longitudinal redundancy check (LRC), and cyclic redundancy check (CRC). Finally, it discusses error correction techniques like Hamming code that can detect and correct single bit errors using redundant bits placed in specific positions within a data unit.
This document discusses error detection and correction in digital communication. It covers the types of errors like single-bit and burst errors. It then explains various error detection techniques like parity checks, longitudinal redundancy checks, and cyclic redundancy checks which work by adding redundant bits. Finally, it discusses Hamming codes, which can not only detect errors but also correct single-bit errors through the strategic placement of redundant bits.
This document discusses error detection methods for data transmission. It covers parity checks, which add redundant bits to detect errors. Simple parity check can detect single-bit errors and odd-length burst errors by making the number of 1s in each data unit even or odd. Two-dimensional parity check arranges bits in a table, calculates parity for each row and column, and sends this frame. It can detect burst errors up to the length of redundant bits with very high probability. The lecture provides examples to illustrate how parity checks work to detect errors.
The sender initializes the checksum to 0 and adds all data items and the checksum. However, 36 cannot be expressed in 4 bits. The extra two bits are wrapped and added with the sum to create the wrapped sum value 6. The sum is then complemented, resulting in the checksum value 9 (15 − 6 = 9).
This document provides an overview of error detection and correction techniques used in digital communication systems. It defines different types of errors like single bit errors and burst errors that can occur during signal transmission. It also describes various error detection methods like parity checking, checksum detection, and cyclic redundancy check (CRC). The document explains concepts of forward error correction (FEC), automatic repeat request (ARQ), and CRC checkers. It provides block diagrams of the basic ARQ system and its operations.
Error correction techniques include retransmission of data when errors are detected and forward error correction where error correction codes are used to automatically correct errors. Hamming codes can detect and correct errors by using redundancy bits in the data and calculating parity checks to determine the position of errors. The document provides an example of how hamming codes work by adding redundancy bits to input data and using the parity checks to detect errors in the encoded data.
This document provides information about error correction and detection. It discusses different types of errors like single bit errors and burst errors. It then explains various error detection techniques like vertical redundancy check (VRC), longitudinal redundancy check (LRC), and cyclic redundancy check (CRC). Finally, it discusses error correction techniques like Hamming code that can detect and correct single bit errors using redundant bits placed in specific positions within a data unit.
This document discusses error detection and correction in digital communication. It covers the types of errors like single-bit and burst errors. It then explains various error detection techniques like parity checks, longitudinal redundancy checks, and cyclic redundancy checks which work by adding redundant bits. Finally, it discusses Hamming codes, which can not only detect errors but also correct single-bit errors through the strategic placement of redundant bits.
This document discusses different types of errors that can occur during data transmission and various error detection and correction techniques. It describes single-bit errors where one bit is changed and burst errors where multiple consecutive bits are changed. It then explains techniques like two-dimensional parity, checksums, and cyclic redundancy checks which add redundant bits to detect errors by checking for discrepancies between transmitted and received data. The document provides examples of how internet checksums and cyclic redundancy checks work to detect errors.
This document discusses error detection and correction in digital communication. It describes how coding schemes add redundancy to messages through techniques like block coding and convolution coding to detect or correct errors. The encoder adds redundant bits to original messages to create relationships between bits that the decoder can use to check for errors. It also explains the use of modular arithmetic, specifically modulo-2 arithmetic which uses only 1s and 0s, for error detection and correction operations.
Computer architecture data representationAnil Pokhrel
This document discusses various methods of data representation in digital systems, including number systems, data types, and encoding of numeric values. It covers binary, decimal, and floating point representation, as well as techniques for representing negative numbers like signed magnitude, 1's complement, and 2's complement. Error detection codes like parity bits are also introduced as a way to detect errors during data transmission. Key topics include binary conversion of decimal numbers, floating point representation using mantissa and exponent, overflow detection, and even/odd parity generation.
This document discusses error detection and correction in data transmission. It describes single-bit errors, where one bit is corrupted, and burst errors, where multiple contiguous bits are corrupted. Error detection allows a receiver to detect if errors occurred, while error correction identifies the exact corrupted bits. Redundant bits are added to messages to enable detection and correction. Methods include forward error correction, retransmission, block coding, and convolution coding. Block coding divides messages into blocks with redundant bits added, creating codewords that allow error detection if a codeword is invalid.
The document discusses different methods of switching in computer networks, including circuit switching, packet switching, and message switching. It provides details on circuit-switched networks, packet-switched networks, and virtual circuit networks. For circuit switching, it describes the setup, data transfer, and teardown phases required to establish and terminate connections. For packet switching, it compares datagram and virtual circuit approaches.
This document discusses error detection and correction techniques used in digital communications. It describes how errors can occur during data transmission and why error detection and correction is needed. It then explains different types of errors and various error detection techniques like parity checks, checksums, and cyclic redundancy checks. Finally, it discusses error correction techniques like backward error correction using retransmissions and forward error correction using redundant bits and provides an example of Hamming codes.
By reading this you can enhance your knowledge about Data Communication Network and Redundancy check used for it for error detection. It only Detect the error and discard it from the sequence given in that codes.
Digital Data, Digital Signal | Scrambling TechniquesBiplap Bhattarai
Digital signal is a sequence of discrete, discontinuous voltage pulses.
Each pulse is a signal element.
Binary data are transmitted by encoding the bit stream into signal elements.
In the simplest case, one bit is represented by one signal element.
- E.g., 1 is represented by a lower voltage level, and 0 is represented by a higher voltage level
Error control techniques allow for detection and correction of errors during data transmission. Error control is implemented at the data link layer using automatic repeat request (ARQ) protocols like stop-and-wait and sliding window. Stop-and-wait involves transmitting a single frame and waiting for an acknowledgment before sending the next frame. Sliding window protocols allow multiple unacknowledged frames to be transmitted by using frame numbers and acknowledging receipt of frames. These protocols detect errors when frames are received out of sequence and trigger retransmission of lost frames.
Cyclic Redundancy Codes (CRCs) provide a first line of defense against data corruption in many networks. Unfortunately, many commonly used CRC polynomials provide significantly less error detection capability than they might. An exhaustive exploration reveals that most previously published CRC polynomials are either inferior to alternatives or are only good choices for particular message lengths.
This document provides information about error detection and correction techniques used in computer networks. It discusses different types of errors that can occur like single-bit and burst errors. It explains that redundancy is needed to detect or correct errors by adding extra bits. Detection techniques discussed include parity checks, checksumming, and cyclic redundancy checks. Parity checks can only detect odd number of errors. Cyclic redundancy checks use polynomial arithmetic to generate a checksum. Forward error correction allows detection and correction of errors by adding redundant bits to distinguish different error possibilities. Hamming code is an example of an error correcting code that can detect and correct single bit errors.
Frame Relay is a WAN protocol that operates at the physical and data link layers using packet switching technology. It provides connection-oriented virtual circuits between devices identified by a data-link connection identifier. Frame Relay supports both permanent virtual circuits that are always active and switched virtual circuits that are temporarily established for data transfer. It implements congestion notification using FECN, BECN and discard eligibility bits and uses CRC for error checking but not correction.
The document discusses error detection and correction techniques used in data communication. It describes different types of errors like single bit errors and burst errors. It then explains various error detection techniques like vertical redundancy check (VRC), longitudinal redundancy check (LRC), and cyclic redundancy check (CRC). VRC adds a parity bit, LRC calculates parity bits for each column, and CRC uses a generator polynomial to calculate redundant bits. The document also discusses Hamming code, an error correcting code that uses redundant bits to detect and correct single bit errors.
Flow control specifies how much data a sender can transmit before receiving permission to continue. There are two main types of flow control: stop-and-wait and sliding window. Stop-and-wait allows transmission of one frame at a time, while sliding window allows transmitting multiple frames before needing acknowledgement. Sliding window flow control uses variables like window size, last ACK received, and last frame sent to determine how transmission proceeds. It provides more efficiency than stop-and-wait. Automatic repeat request (ARQ) handles retransmission of lost or damaged frames through timeouts, negative acknowledgements, or cumulative acknowledgements depending on the specific ARQ protocol used.
to transfer data in network from one device to another with acceptable accuracy, so the system must guarantee the transmitted data should be identical to received data.
there should be no errors if any error occurs in how many ways it can be detected and corrected
This presentation is about controlling error in network layer made during the transmission of data.
It's tells the way by which we can control and correct the noisy code
The document discusses various data link layer protocols. It begins by introducing stop-and-wait and sliding window protocols. It then provides an example of a stop-and-wait protocol where a frame is lost, leading the sender to retransmit a duplicate frame. Next, it discusses sliding window protocols and provides an example where the window allows multiple outstanding frames. Finally, it gives an example of a one-bit sliding window protocol that uses acknowledgments to control the window.
Error Detection and correction concepts in Data communication and networksNt Arvind
single bit , burst error detection and correction in data communication networks , block coding ( hamming code , simple parity check code , Cyclic redundancy check-CRC , checksum , internet checksum etc
Channelization is a multiple-access method in which the available bandwidth of a link is shared in time, frequency, or through code, between different stations. The three channelization protocols are FDMA, TDMA, and CDMA
3. line coding( bipolar, multilevel, multitransition)MdFazleRabbi18
The document discusses different types of line coding techniques used to convert digital data to digital signals for transmission. It describes bipolar AMI and pseudoternary coding which use three voltage levels (+V, 0, -V) to encode bits. Bipolar coding avoids DC components but has no error detection. Multilevel coding techniques like 2B1Q assign symbol patterns to bits for better noise immunity. The 8B6T scheme adds redundancy to avoid DC components. MLT-3 is a multitransition coding that uses transition rules to move between three voltage levels when encoding bits.
The document discusses error detection and correction techniques at the data link layer. It describes how errors can occur during data transmission and the need for reliable communication. Error detection allows a receiver to detect errors while error correction enables identifying and correcting bit errors without retransmission. Common techniques discussed include parity checks, checksums, and cyclic redundancy checks which add redundant bits to detect errors. CRC is based on binary division of data and checksum on addition. Forward error correction and retransmission are compared. Coding schemes use redundancy to detect or correct errors.
Human: Thank you for the summary. Can you provide a 2 sentence summary that captures the key aspects?
This document discusses error control techniques used at the data link layer. It describes different types of errors that can occur during transmission such as single bit errors and burst errors. It then explains various error detection techniques like parity checks, checksum, and cyclic redundancy check (CRC). Parity checks can detect single bit errors but not burst errors affecting an even number of bits. Checksum and CRC are more robust techniques that can detect most errors. The document also introduces error correcting codes using Hamming codes that can not only detect errors but also correct them by adding redundant bits to determine the position of the erroneous bit.
This document discusses different types of errors that can occur during data transmission and various error detection and correction techniques. It describes single-bit errors where one bit is changed and burst errors where multiple consecutive bits are changed. It then explains techniques like two-dimensional parity, checksums, and cyclic redundancy checks which add redundant bits to detect errors by checking for discrepancies between transmitted and received data. The document provides examples of how internet checksums and cyclic redundancy checks work to detect errors.
This document discusses error detection and correction in digital communication. It describes how coding schemes add redundancy to messages through techniques like block coding and convolution coding to detect or correct errors. The encoder adds redundant bits to original messages to create relationships between bits that the decoder can use to check for errors. It also explains the use of modular arithmetic, specifically modulo-2 arithmetic which uses only 1s and 0s, for error detection and correction operations.
Computer architecture data representationAnil Pokhrel
This document discusses various methods of data representation in digital systems, including number systems, data types, and encoding of numeric values. It covers binary, decimal, and floating point representation, as well as techniques for representing negative numbers like signed magnitude, 1's complement, and 2's complement. Error detection codes like parity bits are also introduced as a way to detect errors during data transmission. Key topics include binary conversion of decimal numbers, floating point representation using mantissa and exponent, overflow detection, and even/odd parity generation.
This document discusses error detection and correction in data transmission. It describes single-bit errors, where one bit is corrupted, and burst errors, where multiple contiguous bits are corrupted. Error detection allows a receiver to detect if errors occurred, while error correction identifies the exact corrupted bits. Redundant bits are added to messages to enable detection and correction. Methods include forward error correction, retransmission, block coding, and convolution coding. Block coding divides messages into blocks with redundant bits added, creating codewords that allow error detection if a codeword is invalid.
The document discusses different methods of switching in computer networks, including circuit switching, packet switching, and message switching. It provides details on circuit-switched networks, packet-switched networks, and virtual circuit networks. For circuit switching, it describes the setup, data transfer, and teardown phases required to establish and terminate connections. For packet switching, it compares datagram and virtual circuit approaches.
This document discusses error detection and correction techniques used in digital communications. It describes how errors can occur during data transmission and why error detection and correction is needed. It then explains different types of errors and various error detection techniques like parity checks, checksums, and cyclic redundancy checks. Finally, it discusses error correction techniques like backward error correction using retransmissions and forward error correction using redundant bits and provides an example of Hamming codes.
By reading this you can enhance your knowledge about Data Communication Network and Redundancy check used for it for error detection. It only Detect the error and discard it from the sequence given in that codes.
Digital Data, Digital Signal | Scrambling TechniquesBiplap Bhattarai
Digital signal is a sequence of discrete, discontinuous voltage pulses.
Each pulse is a signal element.
Binary data are transmitted by encoding the bit stream into signal elements.
In the simplest case, one bit is represented by one signal element.
- E.g., 1 is represented by a lower voltage level, and 0 is represented by a higher voltage level
Error control techniques allow for detection and correction of errors during data transmission. Error control is implemented at the data link layer using automatic repeat request (ARQ) protocols like stop-and-wait and sliding window. Stop-and-wait involves transmitting a single frame and waiting for an acknowledgment before sending the next frame. Sliding window protocols allow multiple unacknowledged frames to be transmitted by using frame numbers and acknowledging receipt of frames. These protocols detect errors when frames are received out of sequence and trigger retransmission of lost frames.
Cyclic Redundancy Codes (CRCs) provide a first line of defense against data corruption in many networks. Unfortunately, many commonly used CRC polynomials provide significantly less error detection capability than they might. An exhaustive exploration reveals that most previously published CRC polynomials are either inferior to alternatives or are only good choices for particular message lengths.
This document provides information about error detection and correction techniques used in computer networks. It discusses different types of errors that can occur like single-bit and burst errors. It explains that redundancy is needed to detect or correct errors by adding extra bits. Detection techniques discussed include parity checks, checksumming, and cyclic redundancy checks. Parity checks can only detect odd number of errors. Cyclic redundancy checks use polynomial arithmetic to generate a checksum. Forward error correction allows detection and correction of errors by adding redundant bits to distinguish different error possibilities. Hamming code is an example of an error correcting code that can detect and correct single bit errors.
Frame Relay is a WAN protocol that operates at the physical and data link layers using packet switching technology. It provides connection-oriented virtual circuits between devices identified by a data-link connection identifier. Frame Relay supports both permanent virtual circuits that are always active and switched virtual circuits that are temporarily established for data transfer. It implements congestion notification using FECN, BECN and discard eligibility bits and uses CRC for error checking but not correction.
The document discusses error detection and correction techniques used in data communication. It describes different types of errors like single bit errors and burst errors. It then explains various error detection techniques like vertical redundancy check (VRC), longitudinal redundancy check (LRC), and cyclic redundancy check (CRC). VRC adds a parity bit, LRC calculates parity bits for each column, and CRC uses a generator polynomial to calculate redundant bits. The document also discusses Hamming code, an error correcting code that uses redundant bits to detect and correct single bit errors.
Flow control specifies how much data a sender can transmit before receiving permission to continue. There are two main types of flow control: stop-and-wait and sliding window. Stop-and-wait allows transmission of one frame at a time, while sliding window allows transmitting multiple frames before needing acknowledgement. Sliding window flow control uses variables like window size, last ACK received, and last frame sent to determine how transmission proceeds. It provides more efficiency than stop-and-wait. Automatic repeat request (ARQ) handles retransmission of lost or damaged frames through timeouts, negative acknowledgements, or cumulative acknowledgements depending on the specific ARQ protocol used.
to transfer data in network from one device to another with acceptable accuracy, so the system must guarantee the transmitted data should be identical to received data.
there should be no errors if any error occurs in how many ways it can be detected and corrected
This presentation is about controlling error in network layer made during the transmission of data.
It's tells the way by which we can control and correct the noisy code
The document discusses various data link layer protocols. It begins by introducing stop-and-wait and sliding window protocols. It then provides an example of a stop-and-wait protocol where a frame is lost, leading the sender to retransmit a duplicate frame. Next, it discusses sliding window protocols and provides an example where the window allows multiple outstanding frames. Finally, it gives an example of a one-bit sliding window protocol that uses acknowledgments to control the window.
Error Detection and correction concepts in Data communication and networksNt Arvind
single bit , burst error detection and correction in data communication networks , block coding ( hamming code , simple parity check code , Cyclic redundancy check-CRC , checksum , internet checksum etc
Channelization is a multiple-access method in which the available bandwidth of a link is shared in time, frequency, or through code, between different stations. The three channelization protocols are FDMA, TDMA, and CDMA
3. line coding( bipolar, multilevel, multitransition)MdFazleRabbi18
The document discusses different types of line coding techniques used to convert digital data to digital signals for transmission. It describes bipolar AMI and pseudoternary coding which use three voltage levels (+V, 0, -V) to encode bits. Bipolar coding avoids DC components but has no error detection. Multilevel coding techniques like 2B1Q assign symbol patterns to bits for better noise immunity. The 8B6T scheme adds redundancy to avoid DC components. MLT-3 is a multitransition coding that uses transition rules to move between three voltage levels when encoding bits.
The document discusses error detection and correction techniques at the data link layer. It describes how errors can occur during data transmission and the need for reliable communication. Error detection allows a receiver to detect errors while error correction enables identifying and correcting bit errors without retransmission. Common techniques discussed include parity checks, checksums, and cyclic redundancy checks which add redundant bits to detect errors. CRC is based on binary division of data and checksum on addition. Forward error correction and retransmission are compared. Coding schemes use redundancy to detect or correct errors.
Human: Thank you for the summary. Can you provide a 2 sentence summary that captures the key aspects?
This document discusses error control techniques used at the data link layer. It describes different types of errors that can occur during transmission such as single bit errors and burst errors. It then explains various error detection techniques like parity checks, checksum, and cyclic redundancy check (CRC). Parity checks can detect single bit errors but not burst errors affecting an even number of bits. Checksum and CRC are more robust techniques that can detect most errors. The document also introduces error correcting codes using Hamming codes that can not only detect errors but also correct them by adding redundant bits to determine the position of the erroneous bit.
This document discusses error detection and correction techniques used across different network layers. It introduces concepts like adding redundant data through error detection codes to recognize errors and error correction codes to repair errors. Specific techniques covered include parity, cyclic redundancy checks (CRCs), and Reed-Solomon codes. CRCs are powerful codes commonly used in Ethernet that can detect all single- and double-bit errors through careful choice of the CRC polynomial.
This document discusses error detection and correction techniques used in digital communication systems. It describes three types of errors that can occur during data transmission - single bit errors, multiple bit errors, and burst errors. It then explains various error detection codes like parity checking, cyclic redundancy check (CRC), longitudinal redundancy check (LRC), and checksum that are used to detect errors by adding redundancy to transmitted data. Finally, it discusses error correcting codes like Hamming codes that can detect and correct errors in the received data.
This document discusses error detection and correction in data transmission. It begins with an introduction to types of errors like single-bit and burst errors. It then discusses key concepts like error detection, correction, and forward error correction versus retransmission. The document focuses on block coding techniques for error detection and correction. It explains linear block codes and provides examples of parity-check codes and Hamming codes. Parity-check codes can detect single and odd number of errors while Hamming codes can detect and correct errors.
This document discusses computer network error detection and correction. It begins by defining single-bit errors and burst errors. It then explains three common error detection techniques: parity check, cyclic redundancy check (CRC), and checksum. Parity check uses a redundant bit to make the total number of 1s even or odd. CRC performs binary division to generate redundant bits. Checksum adds data bits and compares the sum. For error correction, it describes Hamming codes, which add redundant bits in specific positions to detect and correct single-bit errors.
Error coding uses mathematical formulas to encode data bits into longer code words for transmission. This allows errors caused by environmental interference to be detected and sometimes corrected at the destination. There are two main types of error coding: error-detecting codes and error-correcting codes. Error-detecting codes add enough redundancy to allow errors to be detected but not corrected, while error-correcting codes add more redundancy to allow errors to be corrected. Common error-detecting coding techniques include parity checks, checksums, and cyclic redundancy checks (CRCs). These techniques use additional redundant bits appended to the data to facilitate error detection. CRC is particularly powerful as it can detect all single-bit errors and many burst errors.
This document provides an overview of data link layer concepts including error control, flow control, error detection, error correction, and elementary data link protocols. It discusses the purposes and examples of error control using ARQ, flow control to prevent receiver overload, and various error detection techniques like parity checks, checksums, and cyclic redundancy checks (CRCs). Error correction codes are also introduced for detecting and correcting errors using additional redundant bits. Common data link protocols like stop-and-wait and sliding window protocols are listed for discussion in the course.
Satellite error detection and correction presentationAhmedMuhumed2
This document summarizes key aspects of satellite communication including error detection and correction. It discusses the elements of a digital communication system including source and channel encoders/decoders. It defines different types of errors that can occur like single bit, multiple bits, and burst errors. It then explains various error detection techniques like parity check and cyclic redundancy check (CRC). It also discusses forward error correction (FEC) where redundant bits are added to allow errors to be corrected at the receiver without retransmission. Specific error correction coding schemes like linear block codes are also summarized.
This document discusses error detection and correction techniques used in computer networks. It describes several methods:
- Vertical redundancy check (VRC or parity check) which detects single-bit errors by adding an extra parity bit to each data unit.
- Longitudinal redundancy check (LRC) which calculates parity bits for each column in a data block.
- Cyclic redundancy check (CRC) which uses binary division to generate a CRC remainder that is appended to the data.
- Checksum which calculates a sum of all data bits and appends the one's complement as a checksum. These methods allow detection of errors during data transmission.
Encoder for (7,3) cyclic code using matlabSneheshDutta
This document provides an overview of cyclic codes including:
- What cyclic codes are and their properties of error detection and correction.
- The method of generating cyclic codes by multiplying message polynomials by a generator polynomial.
- How to systematically encode cyclic codes in three steps.
- The encoding and decoding circuits including Meggitt decoder.
- An example of a (7,3) cyclic code implemented in Matlab showing the encoding, corruption with errors, and decoding.
- How cyclic codes can detect errors through syndrome computation and lookup tables.
- Applications of cyclic codes in message identification.
The document discusses various types of errors that can occur during data transmission and different error detection and correction techniques. It defines transmission errors as errors caused when data is corrupted during network transmission. The main types of transmission errors are bit errors, multiple bit errors, and burst errors. Error detection techniques discussed include vertical redundancy check (VRC/parity check), longitudinal redundancy check (LRC), checksum, and cyclic redundancy check (CRC). Forward error correction techniques like Hamming codes are also summarized that allow detecting and correcting errors without retransmission.
This document discusses various techniques for error detection and correction in communication networks, including:
1. Types of errors such as single-bit errors and burst errors that can occur when transmitting data.
2. The central concept of redundancy, where extra bits are added to the data and used at the receiver to detect or correct errors.
3. Popular error detection and correction codes including parity-check codes, cyclic redundancy checks (CRCs), checksums, and linear block codes. These codes add redundant bits in ways that allow the receiver to identify errors.
4. How encoders add redundant bits using techniques like modulo-2 addition and division, and how decoders analyze received codewords to detect errors based on
This document summarizes a faculty development program on computer networks held from April 24-30, 2019. On April 25, Dr. A. Kathirvel from MNM Jain Engineering College gave a lecture covering various topics related to the data link layer, including data link protocols, media access control, encoding, framing, and error detection techniques. Specific protocols and concepts discussed include HDLC, PPP, Manchester encoding, 4B/5B encoding, byte-oriented and bit-oriented framing, CRC, checksums, and two-dimensional parity.
This document provides an overview of CRC (Cyclic Redundancy Check) and checksum techniques for error detection in data transmission. It describes how CRC works by appending redundant bits to the data such that the resulting data is divisible by a predetermined binary number. It also explains how checksums are generated by dividing the data into sections, adding the sections using one's complement arithmetic, and sending the complement of the sum along with the data. The document compares the performance of CRC and checksums, noting that CRC can detect all odd-length burst errors while checksums are susceptible to some even-length errors.
This document discusses error detection and correction techniques at the data link layer. It covers different types of errors, the use of redundancy to detect or correct errors, block coding and convolutional coding approaches. Specific coding schemes like parity checks, cyclic redundancy checks (CRC), and Hamming codes are explained in detail. The key aspects covered are the use of redundant bits, minimum Hamming distance requirements for detection and correction capabilities, and how techniques like CRC and Hamming codes function to detect and correct single-bit errors. Assignments and example problems are also listed.
The document discusses several key topics in data link layer design including framing, error detection and correction, and flow control. It describes different framing techniques like character counting, stuffing, and physical layer coding violations. It also explains various error detection methods like parity checks, cyclic redundancy checks (CRC), and Hamming codes. Flow control mechanisms like sliding window protocols are also mentioned. Examples are provided to illustrate Hamming codes and CRC calculations.
This document discusses error detection and correction techniques at the data link layer. It covers various types of errors that can occur and how redundancy is used to detect or correct them. Error correcting codes like block codes and convolutional codes are introduced. Specific coding schemes like parity checks, cyclic redundancy checks (CRC), and Hamming codes are explained in detail. The document provides examples of how these codes are implemented and their performance characteristics in terms of detecting and correcting single and burst errors. Standard polynomials used in CRC and properties of good polynomials are also discussed.
Lecture 4 from virtual university of pakistanSaba Hanif
The document discusses error detecting and correcting techniques used in wireless networks. It reviews parity checks, cyclic redundancy checks (CRC), and block error correction codes. CRC uses a predetermined polynomial and modulo-2 arithmetic to generate a checksum over transmitted data blocks. This allows the receiver to detect errors by comparing the received checksum. Block error correction codes add redundancy to transmitted data blocks to allow the receiver to detect and correct a certain number of bit errors based on the code's Hamming distance.
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
2. ERROR DETECTION
Bit errors are sometimes introduced into frames
Bit error simply means change from “ 0 to 1 ” or “ 1 to 0 ”
This most of the time happens because of:
NOISE
Where noise is defined as the induction of unwanted signal into
data
3. ERROR DETECTION
Data is transmitted in form of signals
Process of translating binary data into signal is called
ENCONDING SCHEME
Most commonly the signal travelling on a wire is an
electrical or electromagnetic signal
Usually one bit is represented by one voltage value
And second bit by another voltage value
E.g.
1 = +5 Volt
0 = -5 Volt
4. ERROR DETECTION
Data 101010
10
10
10
1 01010
In simple words electricity is flowing between the two PCs
Whenever electricity or electrical signal is flowing through a wire
It creates electromagnetic field around it
Simply the area around the wire in which current has its affect is
called electromagnetic field
6. ERROR DETECTION
This type of noise is called electrical interference
There are many other types of noise:
Thermal noise, Shot noise, Burst Noise, Flicker Noise
Bit errors are introduced into frames because of noise
Some strategy is needed to detect these errors
Parity
Checksum
CRC ( Cyclic Redundancy Check )
7. ERROR DETECTION
General steps in every error detection strategy:
Send extra information with data
This information is calculated from data
This information is generally called Redundant Information
Errors are detected in data by using Redundant Information
If error is detected in a frame
The frame is dropped
Sender retransmits the frame
8. ERROR DETECTION
Every strategy has its own way of calculating redundant
information and has its own name for it
Even
Parity
Odd Parity
Redundant
Information
Internet
Checksum
CRC
Number
10. ERROR DETECTION
Lets design a simple error detection strategy
In simplest case we can think of sending two frames
Original data frame
Copy of data frame ( Redundant Information )
Receiver compares the two frames
If the two match there is no error
Frame is accepted and copy is discarded
If the two do not match there is an error
Frame is rejected and both data and copy are discarded
11. ERROR DETECTION
10 10 10
101010
Data
Copy
10
10
Data
10
00
10
10
10
10
10
Copy
Receiver compares the two frames
If the two match there is no error
Frame is accepted and copy is discarded
If the two do not match there is an error
Frame is rejected and both data and copy are discarded
13. ERROR DETECTION
Parity Schemes
Even Parity
Check digit (1 or 0) is added to make sure there are an even
number of 1s
Odd Parity
Check digit (1 or 0) is added to make sure there are an odd
number of 1s
Two-Dimensional Parity
Add parity bits in both dimension i.e. row-wise and column-wise
14. ERROR DETECTION
1 0 0 0 0 1 1 1
0 1 1 0 0 1 1 0
0
Even Parity
With every 7 bits of data one parity bit is added to keep number of 1s even
When receiver receives the data, it checks the number of 1s
If number of 1s are even then, data is correct
If number of 1s are odd then there is an error
15. ERROR DETECTION
1 0 0 0 0 1 1 1
1 1
Even Parity
If more then one bits are corrupted in such a way that number of 1s stay
even, the error goes undetected
18. ERROR DETECTION
Is this a good Error Detection Strategy?
Can detect more types of errors as compared to simple
parity schemes
Sends more Redundant Information as compared to
simple parity scheme
19. ERROR DETECTION
When the logic for detecting errors is based on addition, such
strategies may be called checksum
Internet Checksum Algorithm
Add up all the words of sending data and then transmit the
result of that sum ( R.I ) with data
A word can be 1,2 or 4 bytes of data
The receiver performs the same calculation on the received data
and compares the result with the received checksum
If answers match there is no error otherwise error detected
21. ERROR DETECTION
This strategy is implemented at network layer
Sends less redundant information
A very weak strategy for Error Detection
If bits are corrupted in such a way that sum does not change
error will go undetected
22. ERROR DETECTION
CRC ( Cyclic Redundancy Check)
Before communication sender and receiver agree on a divisor
Before sending the data CRC number is combined with data
It makes the data completely divisible by divisor
On Receiver Side
If data is again completely divisible, no Error detected
If data is not completely divisible, Error is detected
23.
24. ERROR DETECTION
CRC process is usually carried in polynomial form
Polynomial Form is used for two reasons
Polynomial mathematics is easy and efficient
Long binary messages can be represented by short polynomials
Conversion Process
Start from right side and write “x” under each binary digit with
powers in sequence
Multiply them with binary digits
Add all the terms
Highest power in a polynomial is the DEGREE of polynomial
28. ERROR DETECTION
CRC Process:
n + 1 bits of data (Message) M(x) is represented by a polynomial of degree n
For Calculating CRC:
Both sender and receiver choose a common divisor C(x) with degree k
Any number can be chosen as a divisor as long as k < n
Multiply M(x) into xk to obtain T(x), can also be called zero-extended
message. T(x) = M(x) * xk
Divide T(x) by C(x) and find remainder.
Subtract Remainder from T(x).
T(x) / C(x) => Remainder
T(x) - Remainder
At this point we get data combined with CRC , which is completely
divisible by divisor
29. C(x) = 1101
M(x) = 10011010
x7 + x4 + x3 + x1
x 3 + x2 + 1
10011010
M(x) Where
n=7
C (x) k=3
agreed ,k < n
101
(x10 + x7 + x6 + x4) / ( x3 + x2 + 1 ) = Remainder
T(x) = M(x) * xk5
6
7
x3 + x2 + 1
x - x + x – x4 + x3 +1
x8 + x7 + x5
7 + x 4 + x 3 + x 1 ) * x3
T(x) = (x
x3 + x2 + 1
CRC 101
T(x) – Remainder 3 43 Completely7 5 4
7.x3 + x4.x3 + x .x + x1.x3
T(x) = x x10 7 + x6 + x Divisible– x – T(x) x
On x + Zero
2–
Extended – x2 – 1
(x10 + x7 x10 6 + x4) x73+3 (– x1+3 1)
+ x + 4+3 + –
Divisor – x7 – x6 – x4
T(x) = x7+3 + x x9 + x + x
Message
x10 + x7 + x6 7 x4 6 x2 4 1 Data + CRC
+ + +
Remainder = 101
T(x) = x10 + 9 + x + x
x 6 4
6 – x5 + 2x4
–x +x +x
x
0
6
– 9 x8 000
10011010x –101– x
T(x) = 10011010
x8 + 2x6 + x4
0
x6 + x 5 + x3
– 0 5 + x3
2x
C(x) = 1101
Complete Division =
No Error
Incomplete Division =
Error Detected
31. ERROR DETECTION
BISYNC protocol uses two dimensional parity
IP uses Internet Checksum
HDLC, DDCMP, use CRC
Ethernet and 802.5 networks use CRC-32, while HDLC
uses CRC-CCITT. ATM uses CRC-8, CRC-10, and CRC-32.
32. ERROR CORRECTION
Error correction are more complex schemes then detection
We need to know the exact position of corrupted bits
Hamming Codes:
Developed by Richard Hamming
Can correct up to one bit-error ( one we will study )
Takes help from simple parity
Redundant bits are placed at every 2K position
Data is placed in between redundant bits
Every redundant bit is responsible for checking bits at some
position
CORRECTION comes after DETECTION
33. ERROR CORRECTION
R parity bits are required for 2R-R-1 data bits
Parity bits are placed at position 2K i.e. 1,2,4,8,16,…..
Parity bit at position k is responsible for every k bit(s)
starting from position k and at a gap of k bits. e.g.
Parity bit 1 is responsible for bits at position [1], [3], [5], [7]……
Parity bit 2 is responsible for bits at position [2,3], [6,7], [10,11]……
Parity bit 4 is responsible for bits at position [4,5,6,7], [12,13,14,15]…..
Data is placed in between the Redundant Bits. i.e. any
position ≠ 2k
e.g. 3,5,6,7,9,10,11,12,13,14,15,17…….
34. ERROR CORRECTION
Sender:
Separate parity checking is done for every redundant bit
and the bits that it is responsible for
By using even parity, number of 1s are kept even
Receiver:
Recalculates parity bit in received data for every redundant
bit and its responsible bits
By combining these recalculated parity bits we get the
position of corrupted bit
The bit at that position is simply flipped
35. ERROR CORRECTION
R parity bits are required for 2R-R-1 data bits
E.g. for 7 data bits.
For R = 1, 21 – 1 – 1 = 0
For R = 2, 22 – 2 – 1 = 1
For R = 3, 23 – 3 – 1 = 4
For R = 4, 24 – 4 – 1 = 11
So total of 11 bits with 7 data bits and 4 parity bits
Parity bits are placed at position 2k and data bits between
them
36. ERROR CORRECTION
Parity bit at position k is responsible for every k bit(s) starting from position
k and at a gap of k bits.
37. Insert
Data at
position
≠ 2k
1 0 0 1 1 0 1 Data
1 0
0 1
1 1
0 0
Separate
Parity
Checking
Flip Bit
Receiver
Sender
1
1 0
Combine
Bits =
Position
Transmission
Recalculate
Parity Bits
0
1
0
1
1
0
11 10 9
8
7
6
5
1
0
0
4
1
3
0
2
1
1
0
0 1 1 1
Position =7
38. Insert
Data at
position
≠ 2k
1 0 0 1 1 0 1 Data
1 0
0 1
1 1
0 0
Separate
Parity
Checking
Flip Bit
Receiver
Sender
1
1 0
Combine
Bits =
Position
Transmission
Recalculate
Parity Bits
1
0
0
1
1
1
0
11 10 9
8
7
6
5
0
4
1
3
0
2
1
1
0 0 0 0
Position = 0
39. HAMMING DISTANCE
To find the hamming distance we exclusively or every
code word with the code word below it
The minimum distance is then called
dmin = Hamming Distance
Any error detection scheme having a minimum hamming
distance of dmin is guaranteed to:
Detect errors up to : dmin – 1
Correct errors up to: (dmin – 1) / 2