Notes > Lecture 20 - Information Redundancy - PowerPoint Presentation, Engineering
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Page 1 10/20/2014 Bushnell: Digital Systems Design Lecture 20 1 ? Codes and Error-correcting codes ? Hamming distance ? Parity codes ? M-of-n codes ? Duplication codes ? Checksums ? Summary 332:437 Lecture 20 Information Redundancy Page 2 10/20/2014 Bushnell: Digital Systems Design Lecture 20 1 ? Codes and Error-correcting codes ? Hamming distance ? Parity codes ? M-of-n codes ? Duplication codes ? Checksums ? Summary 332:437 Lecture 20 Information Redundancy 10/20/2014 Bushnell: Digital Systems Design Lecture 20 2 Material from Design and Analysis of Fault Tolerant Digital Systems, by Barry Johnson, Addison Wesley Page 3 10/20/2014 Bushnell: Digital Systems Design Lecture 20 1 ? Codes and Error-correcting codes ? Hamming distance ? Parity codes ? M-of-n codes ? Duplication codes ? Checksums ? Summary 332:437 Lecture 20 Information Redundancy 10/20/2014 Bushnell: Digital Systems Design Lecture 20 2 Material from Design and Analysis of Fault Tolerant Digital Systems, by Barry Johnson, Addison Wesley 10/20/2014 Bushnell: Digital Systems Design Lecture 20 3 Code ? Represents Information using well- defined rules ? Use Binary Codes ? Problem with ordinary Binary Codes – Single-digit error produces a valid code pattern that is no longer correct Page 4 10/20/2014 Bushnell: Digital Systems Design Lecture 20 1 ? Codes and Error-correcting codes ? Hamming distance ? Parity codes ? M-of-n codes ? Duplication codes ? Checksums ? Summary 332:437 Lecture 20 Information Redundancy 10/20/2014 Bushnell: Digital Systems Design Lecture 20 2 Material from Design and Analysis of Fault Tolerant Digital Systems, by Barry Johnson, Addison Wesley 10/20/2014 Bushnell: Digital Systems Design Lecture 20 3 Code ? Represents Information using well- defined rules ? Use Binary Codes ? Problem with ordinary Binary Codes – Single-digit error produces a valid code pattern that is no longer correct 10/20/2014 Bushnell: Digital Systems Design Lecture 20 4 Example ? Complement BCD code LSB bit 0011 (3) and you get 0010 (2), which is valid Page 5 10/20/2014 Bushnell: Digital Systems Design Lecture 20 1 ? Codes and Error-correcting codes ? Hamming distance ? Parity codes ? M-of-n codes ? Duplication codes ? Checksums ? Summary 332:437 Lecture 20 Information Redundancy 10/20/2014 Bushnell: Digital Systems Design Lecture 20 2 Material from Design and Analysis of Fault Tolerant Digital Systems, by Barry Johnson, Addison Wesley 10/20/2014 Bushnell: Digital Systems Design Lecture 20 3 Code ? Represents Information using well- defined rules ? Use Binary Codes ? Problem with ordinary Binary Codes – Single-digit error produces a valid code pattern that is no longer correct 10/20/2014 Bushnell: Digital Systems Design Lecture 20 4 Example ? Complement BCD code LSB bit 0011 (3) and you get 0010 (2), which is valid 10/20/2014 Bushnell: Digital Systems Design Lecture 20 5 Coding Theory ? Can create binary codes –- where valid code words are subset of total number of combinations of 1’s and 0’s ? Force errors to cause code word to be illegalRead More
FAQs on Lecture 20 - Information Redundancy - PowerPoint Presentation, Engineering
| 1. What is information redundancy? |  |
Ans. Information redundancy refers to the inclusion of repetitive or duplicate data in a communication system or message. It is a technique used to ensure that the information is transmitted accurately and reliably, even in the presence of errors or disturbances.
| 2. Why is information redundancy important in engineering? | |
Ans. Information redundancy is important in engineering because it helps to improve the reliability and robustness of communication systems. By including redundant information, errors or disturbances can be detected and corrected, leading to a more accurate and reliable transmission of data.
| 3. How does information redundancy work? | |
Ans. Information redundancy works by duplicating or repeating data in a communication system. This redundant information is then used to check the accuracy of the transmitted data. If errors or disturbances occur during transmission, the redundant information can be used to detect and correct these errors, ensuring the integrity of the transmitted data.
| 4. What are the advantages of using information redundancy? | |
Ans. There are several advantages of using information redundancy in engineering. Firstly, it helps to improve the reliability and robustness of communication systems, as errors can be detected and corrected. Secondly, it enhances the accuracy of data transmission, ensuring that the received data is as close to the original data as possible. Lastly, it provides a level of fault tolerance, allowing the system to continue functioning even in the presence of errors or disturbances.
| 5. Are there any disadvantages to using information redundancy? | |
Ans. While information redundancy has its advantages, there are also some disadvantages to consider. One drawback is that it requires additional storage space and bandwidth, as redundant data needs to be transmitted and stored. This can increase the cost and complexity of the communication system. Additionally, excessive redundancy can lead to increased transmission delays, especially in real-time systems where low latency is essential.
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