- Error detection and correction
In

mathematics ,computer science ,telecommunication , andinformation theory ,**error detection and correction**has great practical importance in maintaining data (information) integrity across noisy channels and less-than-reliable storage media.**General definitions of terms**Definitions of Error detection and error correction:

* Error detection is the ability to detect the presence of errors caused by noise or other impairments during transmission from the transmitter to the receiver.

* Error correction is the additional ability to reconstruct the original, error-free data.There are two basic ways to design the

channel code and protocol for an error correcting system:

*Automatic repeat-request (ARQ): The transmitter sends the data and also an error detection code, which the receiver uses to check for errors, and requests retransmission of erroneous data. In many cases, the request is implicit; the receiver sends an acknowledgement (ACK) of correctly received data, and the transmitter re-sends anything not acknowledged within a reasonable period of time.

*Forward error correction (FEC): The transmitter encodes the data with an**error-correcting code**(ECC) and sends the coded message. The receiver never sends any messages back to the transmitter. The receiver decodes what it receives into the "most likely" data. The codes are designed so that it would take an "unreasonable" amount of noise to trick the receiver into misinterpreting the data.It is possible to combine the two, so that minor errors are corrected without retransmission, and major errors are detected and a retransmission requested. The combination is called

hybrid automatic repeat-request .**Error detection schemes**In

telecommunication , a "redundancy check" is extra data added to a message for the purposes of error detection.Several schemes exist to achieve error detection, and are generally quite simple. All error detection codes (which include all error-detection-and-correction codes) transmit more bits than were in the original data. Most codes are "systematic": the transmitter sends a fixed number of original data bits, followed by fixed number of "check bits" (usually referred to as redundancy in the literature) which are derived from the data bits by some

deterministic algorithm . The receiver applies the same algorithm to the received data bits and compares its output to the received check bits; if the values do not match, an error has occurred at some point during the transmission. In a system that uses a "non-systematic" code, such as someraptor code s, data bits are transformed into at least as many code bits, and the transmitter sends only the code bits.**Repetition schemes**Variations on this theme exist. Given a stream of data that is to be sent, the data is broken up into blocks of bits, and in sending, each block is sent some predetermined number of times. For example, if we want to send "1011", we may repeat this block three times each.

Suppose we send "1011 1011 1011", and this is received as "1010 1011 1011". As one group is not the same as the other two, we can determine that an error has occurred. This scheme is not very efficient, and can be susceptible to problems if the error occurs in exactly the same place for each group (e.g. "1010 1010 1010" in the example above will be detected as correct in this scheme).

The scheme however is extremely simple, and is in fact used in some transmissions of

numbers station s.Fact|date=July 2008**Parity schemes**:"Main article":

Parity bit A "parity bit " is an "error detection" mechanism that can only detect an odd number of errors.The stream of data is broken up into blocks of bits, and the number of 1 bits is counted. Then, a "parity bit" is set (or cleared) if the number of one bits is odd (or even). (This scheme is called even parity; odd parity can also be used.) If the tested blocks overlap, then the parity bits can be used to isolate the error, and even correct it if the error affects a single bit: this is the principle behind the

Hamming code .There is a limitation to parity schemes. A parity bit is only guaranteed to detect an odd number of bit errors (one, three, five, and so on). If an even number of bits (two, four, six and so on) are flipped, the parity bit appears to be correct, even though the data is corrupt.

**Checksum**: "Main article":

Checksum Achecksum of a message is an arithmetic sum of message code words of a certain word length, for example byte values, and their carry value. The sum is negated by means of ones-complement, and stored or transferred as an extra code word extending the message.On the receiver side, a new checksum may be calculated, from the extended message. If the new checksum is not 0, error is detected.

Checksum schemes include

parity bit s,check digit s, andlongitudinal redundancy check .**Cyclic redundancy checks**: "Main article":

Cyclic redundancy check More complex error detection (and correction) methods make use of the properties of finite fields and polynomials over such fields.The cyclic redundancy check considers a block of data as the coefficients to a polynomial and then divides by a fixed, predetermined polynomial. The coefficients of the result of the division is taken as the redundant data bits, the CRC.

On reception, one can recompute the CRC from the payload bits and compare this with the CRC that was received. A mismatch indicates that an error occurred.

**Hamming distance based checks**If we want to detect "d" bit errors in an "n" bit word we can map every "n" bit word into a bigger "n+d+1" bit word so that the minimum

Hamming distance between each valid mapping is "d+1". This way, if one receives a "n+d+1" word that doesn't match any word in the mapping (with a Hamming distance "x" <= "d+1" from any word in the mapping) it can successfully detect it as an errored word. Even more, "d" or fewer errors will never transform a valid word into another, because the Hamming distance between each valid word is at least "d+1", and such errors only lead to invalid words that are detected correctly.Given a stream of "m*n" bits, we can detect "x <= d" bit errors successfully using the above method on every "n" bit word. In fact, we can detect a maximum of "m*d" errors if every "n" word is transmitted with maximum "d" errors.**Hash function**Any

hash function can be used as a redundancy check.**Horizontal and vertical redundancy check**Other types of redundancy check include

horizontal redundancy check ,vertical redundancy check andRAID#Non-standard_levels "double", "dual" or "diagonal" parity (used in Raid-DP).**Polarity schemes**One less commonly used form of error correction and detection is transmitting a polarity reversed bitstream simultaneously with the bitstream it is meant to correct. This scheme is very weak at detecting bit errors, and marginally useful for byte or word error detection and correction. However, at the

physical layer in theOSI model , this scheme can aid in error correction and detection.Polarity symbol reversal is (probably) the simplest form of

Turbo code , but technically not a Turbo code at all.

* Turbo codes DO NOT work at the bit level.

* Turbo codes typically work at the character or symbol level depending on their placement in the OSI model.

* Character here refers toBaudot ,ASCII -7, the 8-bitbyte or the 16-bitword .Original transmitted symbol "1011"

* transmit 1011 on carrier wave 1 (CW1)

* transmit 0100 on carrier wave 2 (CW2)Receiver end

* do bits polarities of (CW1) <> (CW2)?

* if CW1 = CW2, signal "bit error" (triggers more complex ECC)This polarity reversal scheme works fairly well at low data rates (below 300 baud) with very redundant data like

telemetry data.Specify|date=February 2007**Error correction****Automatic repeat request**Automatic Repeat-reQuest (ARQ) is an error control method for data transmission which makes use of error detection codes, acknowledgment and/or negative acknowledgement messages and timeouts to achieve reliable data transmission. An acknowledgment is a message sent by the receiver to the transmitter to indicate that it has correctly received a data frame.

Usually, when the transmitter does not receive the acknowledgment before the timeout occurs (i.e. within a reasonable amount of time after sending the data frame), it retransmits the frame until it is either correctly received or the error persists beyond a predetermined number of retransmissions.

A few types of ARQ protocols are

Stop-and-wait ARQ ,Go-Back-N ARQ andSelective Repeat ARQ .Hybrid ARQ is a combination of ARQ and forward error correction.**Error-correcting code**An

error-correcting code (ECC) or forward error correction (FEC) code is acode in which each data signal conforms to specific rules of construction so that departures from this construction in the received signal can generally be automatically detected and corrected. It is used incomputer data storage , for example indynamic RAM , and indata transmission .The basic idea is for the transmitter to apply one or more of the above error detecting codes;then the receiver uses those codes to narrow down exactly where in the message the error (if any) is.If there is a single bit error in transmission, the decoder uses those error detecting codes to narrow down the error to a single bit (1 or 0), then fix that error by flipping that bit. (Later we will discuss ways of dealing with more than one error per message.)

* repetition schemes -- if the transmitter repeats each data bit at least 3 different times (

triple modular redundancy ), the receiver can correct any single-bit error by taking the majority vote of the received data bits.

* parity schemes -- if the transmitter sends parity bits covering various overlapping groups of the data bits, a single-bit error will cause a parity error in every group that covers that erroneous bit. The receiver can correct any single-bit error by flipping the one bit covered by every group that indicates an error, but not covered by any group that checks out good. There are a wide variety of parity-based codes, differing in exactly how groups of data bits are chosen. We will discuss them later.

* cyclic redundancy checks -- when a transmitter adds a CRC code to a message, any single-bit error will cause the received CRC to differ from the receiver-calculated CRC. If the message is short enough, the receiver can figure out exactly which bit was flipped, and correct it --Header Error Correction .

* Hamming distance based checks -- Since it takes many bit errors to convert one valid Hamming code word to any other valid Hamming code word, the receiver can correct any single-bit error in a word by finding the "closest" valid Hamming code, the one code word that has only 1 bit different from the received word.Some codes can correct a certain number of bit errors and only detect further numbers of bit errors. Codes which can correct one error are termed single error correcting (SEC), and those which detect two are termed double error detecting (DED).

Hamming code s can correct single-bit errors and detect double-bit errors (SEC-DED ) -- more sophisticated codes correct and detect even more errors.An error-correcting code which corrects all errors of up to "n" bits correctly is also an error-detecting code which can detect at least all errors of up to 2"n" bits.

Two main categories are

convolutional code s andblock code s. Examples of the latter areHamming code ,BCH code ,Reed-Solomon code ,Reed-Muller code ,Binary Golay code , andlow-density parity-check code s.Shannon's theorem is an important theorem in error correction which describes the maximum attainable efficiency of an error-correcting scheme versus the levels of noise interference expected. In general, these methods put redundant information into the data stream following certain algebraic or geometric relations so that the decoded stream, if damaged in transmission, can be corrected. The effectiveness of the coding scheme is measured in terms ofcode rate , which is the code length divided by the useful information, and theCoding gain , which is the difference of the SNR levels of the uncoded and coded systems required to reach the same BER levels.**Error-correcting memory**Because

soft error s are extremely common in the DRAM of computers used in satellites and space probes, such memory is structured as ECC memory (also called "EDAC protected memory").Typically every bit of memory is refreshed at least 15 times per second.During thismemory refresh , the memory controller reads each word of memory and writes the (corrected) word back. Fact|date=April 2007Such memory controllers traditionally use aHamming code , although some usetriple modular redundancy .Even though a single cosmic ray can upset many physically neighboring bits in a DRAM, such memory systems are designed so that neighboring bits belong to different words, so suchsingle event upset s (SEUs) cause only a single error in any particular word, and so can be corrected by a single-bit error correcting code.As long as no more than a single bit in any particular word is hit by an error between refreshes, such a memory system presents the illusion of an error-free memory. [*http://www.apmcsta.org/doc/Chen%20Zhenyu.doc*]**Applications**Applications that require low latency (such as telephone conversations) cannot use Automatic Repeat reQuest (ARQ); they must use

Forward Error Correction (FEC). By the time anARQ system discovers an error and re-transmits it, the re-sent data will arrive too late to be any good.Applications where the transmitter immediately forgets the information as soon as it is sent (such as most television cameras) cannot use

ARQ ; they must use FEC because when an error occurs, the original data is no longer available. (This is also why FEC is used in data storage systems such asRAID anddistributed data store ).Applications that use ARQ must have a

return channel . Applications that have no return channel cannot use ARQ.Applications that require extremely low error rates (such as digital money transfers) must use

ARQ .**The Internet**In a typical

TCP/IP stack, error detection is performed at multiple levels:

* EachEthernet frame carries a CRC-32checksum . The receiver discards frames if their checksums do not match.

* TheIPv4 header contains a header checksum of the contents of the header (excluding the checksum field). Packets with checksums that don't match are discarded.

* The checksum was omitted from theIPv6 header, because most currentlink layer protocols have error detection.

* UDP has an optional checksum. Packets with wrong checksums are discarded.

* TCP has a checksum of the payload, TCP header (excluding the checksum field) and source- and destination addresses of the IP header. Packets found to have incorrect checksums are discarded and eventually get retransmitted when the sender receives atriple-ack or a timeout occurs.**Deep-space telecommunications**NASA has used many different error correcting codes. For missions between 1969 and 1977 the Mariner spacecraft used aReed-Muller code . The noise these spacecraft were subject to was well approximated by a "bell-curve" (normal distribution ), so the Reed-Muller codes were well suited to the situation.The

Voyager 1 &Voyager 2 spacecraft transmitted color pictures ofJupiter andSaturn in 1979 and 1980.

* Color image transmission required 3 times the amount of data, so the Golay (24,12,8) code was used.Fact|date=December 2007

* This Golay code is only 3-error correcting, but it could be transmitted at a much higher data rate.

* Voyager 2 went on toUranus andNeptune and the code was switched to a concatenatedReed-Solomon code -Convolutional code for its substantially more powerful error correcting capabilities.

* Current DSN error correction is done with dedicated hardware.

* For some NASA deep space craft such as those in theVoyager program ,Cassini-Huygens (Saturn ),New Horizons (Pluto ) andDeep Space 1 -- the use of hardware ECC may not be feasible for the full duration of the mission.The different kinds of deep space and orbital missions that are conducted suggest that trying to find a "one size fits all" error correction system will be an ongoing problem for some time to come.

* For missions close to the earth the nature of the "noise" is different from that on a spacecraft headed towards the outer planets.

* In particular, if a transmitter on a spacecraft far from earth is operating at a low power, the problem of correcting for noise gets larger with distance from the earth.**Satellite broadcasting (DVB)**The demand for satellite

transponder bandwidth continues to grow, fueled by the desire to deliver television (including new channels andHigh Definition TV ) and IP data. Transponder availability and bandwidth constraints have limited this growth, because transponder capacity is determined by the selectedmodulation scheme andForward error correction (FEC) rate.Overview

*QPSK coupled with traditional Reed Solomon and Viterbi codes have been used for nearly 20 years for the delivery of digital satellite TV.

* Higher order modulation schemes such as8PSK , 16QAM and32QAM have enabled the satellite industry to increase transponder efficiency by several orders of magnitude.

* This increase in the information rate in a transponder comes at the expense of an increase in the carrier power to meet the threshold requirement for existing antennas.

* Tests conducted using the latest chipsets demonstrate that the performance achieved by using Turbo Codes may be even lower than the 0.8 dB figure assumed in early designs.**Data storage**Error detection and correction codes are often used to improve the reliability of data storage media.

A "parity track" was present on the first

magnetic tape data storage in 1951. The "Optimal Rectangular Code" used ingroup code recording tapes not only detects but also corrects single-bit errors.Some

file format s, particularlyarchive formats , include a checksum (most oftenCRC32 ) to detect corruption and truncation and can employ redundancy and/orparity file s to recover portions of corrupted data.Reed Solomon codes are used in

compact disc s to correct errors caused by scratches.Modern hard drives use CRC codes to detect and Reed-Solomon codes to correct minor errors in sector reads, and to recover data from sectors that have "gone bad" and store that data in the spare sectors. [

*[*]*http://www.myharddrivedied.com/presentations_whitepaper.html My Hard Drive Died | Scott A. Moulton*]RAID systems use a variety of error correction techniques, to correct errors when a hard drive completely fails.The

Vandermonde matrix is used in some RAID techniques.**Information theory and error detection and correction**Information theory tells us that whatever the probability of error in transmission or storage, it is possible to construct error-correcting codes in which the likelihood of failure is arbitrarily low, although this requires adding increasing amounts of redundant data to the original, which might not be practical when the error probability is very high.Shannon's theorem sets an upper bound to the error correction rate that can be achieved (and thus the level ofnoise that can be tolerated) using a fixed amount of redundancy, but does not tell us how to construct such an optimal encoder.Error-correcting codes can be divided into

block code s andconvolutional code s. Other block error-correcting codes, such as Reed-Solomon codes, transform a chunk of bits into a (longer) chunk of bits in such a way that errors up to some threshold in each block can be detected and corrected.However, in practice errors often occur in bursts rather than at random. This is often compensated for by shuffling (interleaving) the bits in the message after coding. Then any burst of bit-errors is broken up into a set of scattered single-bit errors when the bits of the message are unshuffled (de-interleaved) before being decoded.

**List of error-correction, error-detection methods**This list contains methods of error correction (Reed-Solomon, for example is a method) and practical techniques for error correction (like the Check digit, a practical method).

*Berger code

*Chipkill , an application of ECC techniques to volatile system memory.

*Constant-weight code

*Convolutional code s are usually decoded withiterative Viterbi decoding techniques

*Differential space–time code s, related tospace–time block code s.

*Dual modular redundancy , subset ofN-modular redundancy , related totriple modular redundancy

*Erasure code s are a superset ofFountain code s

*Forward error correction

*Group code

*Golay code , theBinary Golay code s are the most commonly used Golay codes

*Goppa code that is used to create theMcEliece cryptosystem

*Hadamard code

*Hagelbarger code

*Hamming code

*Lexicographic code

*Longitudinal redundancy check

*Low-density parity-check code

*LT codes are near optimal rateless erasure correcting codes.

*m of n codes

*Online codes are an example of rateless erasure codes.

*Parity bit

*Raptor codes are high speed (near real time) fountain codes.

*Reed-Solomon error correction

*Reed-Muller code

*Repeat-accumulate code

*Sparse graph code

*Space–time code

*Space–time trellis code

*Tornado codes are optimalFountain codes

*Triple modular redundancy

*Turbo code

*Viterbi algorithm

*Walsh code used in cellular telephony for its high noise immunity, not just its ECC capabilitiesPractical uses of Error Correction methods

*Concatenated error correction codes , theCompact Disc andVoyager Program spacecraft use concatenated error correction technologies

*Check digit , commonly used onUPC barcode s

*Luhn algorithm , the most commonly usedbase 10 checksum that can perform limited error detection but not error correction

*Luhn mod N algorithm , the above algorithm but implementable in a nonbase 10 form

*Verhoeff algorithm , a modular based form not related to theLuhn algorithm s that can detect most forms oftransposition errors in financial cryptographic applications**See also***

Repetition schemes :*Triple modular redundancy

*Error correction standardization :*Federal Standard 1037C :*MIL-STD-188

*Errors and residuals in statistics

* Research Conferences on Error Correction:* International Symposium On Turbo Codes, http://www-turbo.enst-bretagne.fr/**References****External links*** [

*http://www.inference.phy.cam.ac.uk/mackay/itila/ The on-line textbook: Information Theory, Inference, and Learning Algorithms*] , by David MacKay, contains chapters on elementary error-correcting codes; on the theoretical limits of error-correction; and on the latest state-of-the-art error-correcting codes, includinglow-density parity-check code s,turbo code s, andfountain codes .

* Article: [*http://cr.yp.to/hardware/ecc.html Memory errors and SECDED*]

* [*http://ipsit.bu.edu/comp.html Compute parameters of linear codes*] - an on-line interface for generating and computing parameters (e.g.minimum distance ,covering radius ) of linear error-correcting codes.

* [*http://www.eccpage.com/ ECC Page*]

* [*http://gaussianwaves.blogspot.com Digital communication blog*]

*Wikimedia Foundation.
2010.*

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