The problem of adding reliability to data has already been mentioned in Section 2.12. This appendix discusses general methods for detecting and correcting errors. Reliability is, in a sense, the opposite of data compression, since it is achieved by increasing data redundancy. Nevertheless, many practical situations call for reliable data, so a good data compression program should be able to use codes for increased reliability, if necessary. Every time information is transmitted, on any channel, it may get corrupted by noise. In fact, even when information is stored in a storage device, it may become bad, because no hardware is absolutely reliable. This also applies to noncomputer information. Speech sent on the air gets garbled by noise, wi...
Modern nanoscale devices with storage capacity typically implement error correction codes (ECCs) in ...
In this paper, we present an in-depth analysis of transient behavior, mainly glitches, in the parall...
The chapter gives an overview of the various types of errors encountered in a communication system. ...
The classic approach for error correction is to add controlled external redundancy to data. This app...
With ever increasing amount of digital data being generated everyday on various platforms the need f...
For the storage of big data, there are significant challenges with its long-term reliability. This p...
There are two fundamental approaches for error correction. One approach is to add external redundanc...
Data compression has the potential for increasing the risk of data loss. It can also cause bit error...
Encoded data is very sensitive to the channel errors. Especially if the data is compressed by Arithm...
Rapid advances in electronic and optical technology have enabled the implementation of powerful erro...
Data compression has become an increasingly popular option as advances in information technology hav...
This book discusses both the theory and practical applications of self-correcting data, commonly kno...
The theory of error-correcting codes arises from the following problem: What is a good way to send a...
Application of error correcting codes for data compression is first investigated by Shannon where he...
Lossless source encoding is occasionally used in some data compression applications. One of these en...
Modern nanoscale devices with storage capacity typically implement error correction codes (ECCs) in ...
In this paper, we present an in-depth analysis of transient behavior, mainly glitches, in the parall...
The chapter gives an overview of the various types of errors encountered in a communication system. ...
The classic approach for error correction is to add controlled external redundancy to data. This app...
With ever increasing amount of digital data being generated everyday on various platforms the need f...
For the storage of big data, there are significant challenges with its long-term reliability. This p...
There are two fundamental approaches for error correction. One approach is to add external redundanc...
Data compression has the potential for increasing the risk of data loss. It can also cause bit error...
Encoded data is very sensitive to the channel errors. Especially if the data is compressed by Arithm...
Rapid advances in electronic and optical technology have enabled the implementation of powerful erro...
Data compression has become an increasingly popular option as advances in information technology hav...
This book discusses both the theory and practical applications of self-correcting data, commonly kno...
The theory of error-correcting codes arises from the following problem: What is a good way to send a...
Application of error correcting codes for data compression is first investigated by Shannon where he...
Lossless source encoding is occasionally used in some data compression applications. One of these en...
Modern nanoscale devices with storage capacity typically implement error correction codes (ECCs) in ...
In this paper, we present an in-depth analysis of transient behavior, mainly glitches, in the parall...
The chapter gives an overview of the various types of errors encountered in a communication system. ...