Cyclic redundancy check

A cyclic redundancy check (CRC) is an error-detecting code commonly used in digital networks and storage devices to detect accidental changes to raw data. Blocks of data entering these systems get a short check value attached, based on the remainder of a polynomial division of their contents. On retrieval, the calculation is repeated and, in the event the check values do not match, corrective action can be taken against data corruption.

CRCs are so called because the check (data verification) value is a redundancy (it expands the message without adding information) and the algorithm is based on cyclic codes. CRCs are popular because they are simple to implement in binary hardware, easy to analyze mathematically, and particularly good at detecting common errors caused by noise in transmission channels. Because the check value has a fixed length, the function that generates it is occasionally used as a hash function.

The CRC was invented by W. Wesley Peterson in 1961; the 32-bit CRC function of Ethernet and many other standards is the work of several researchers and was published in 1975.


CRCs are based on the theory of cyclic error-correcting codes. The use of systematic cyclic codes, which encode messages by adding a fixed-length check value, for the purpose of error detection in communication networks, was first proposed by W. Wesley Peterson in 1961.[1] Cyclic codes are not only simple to implement but have the benefit of being particularly well suited for the detection of burst errors: contiguous sequences of erroneous data symbols in messages. This is important because burst errors are common transmission errors in many communication channels, including magnetic and optical storage devices. Typically an n-bit CRC applied to a data block of arbitrary length will detect any single error burst not longer than n bits and will detect a fraction 1 − 2n of all longer error bursts.

Specification of a CRC code requires definition of a so-called generator polynomial. This polynomial becomes the divisor in a polynomial long division, which takes the message as the dividend and in which the quotient is discarded and the remainder becomes the result. The important caveat is that the polynomial coefficients are calculated according to the arithmetic of a finite field, so the addition operation can always be performed bitwise-parallel (there is no carry between digits). The length of the remainder is always less than the length of the generator polynomial, which therefore determines how long the result can be.

In practice, all commonly used CRCs employ the Galois field of two elements, GF(2). The two elements are usually called 0 and 1, comfortably matching computer architecture.

A CRC is called an n-bit CRC when its check value is n bits long. For a given n, multiple CRCs are possible, each with a different polynomial. Such a polynomial has highest degree n, which means it has n + 1 terms. In other words, the polynomial has a length of n + 1; its encoding requires n + 1 bits. Note that most polynomial specifications either drop the MSB or LSB, since they are always 1. The CRC and associated polynomial typically have a name of the form CRC-n-XXX as in the table below.

The simplest error-detection system, the parity bit, is in fact a trivial 1-bit CRC: it uses the generator polynomial x + 1 (two terms), and has the name CRC-1.


A CRC-enabled device calculates a short, fixed-length binary sequence, known as the check value or CRC, for each block of data to be sent or stored and appends it to the data, forming a codeword.

When a codeword is received or read, the device either compares its check value with one freshly calculated from the data block, or equivalently, performs a CRC on the whole codeword and compares the resulting check value with an expected residue constant.

If the CRC check values do not match, then the block contains a data error.

The device may take corrective action, such as rereading the block or requesting that it be sent again. Otherwise, the data is assumed to be error-free (though, with some small probability, it may contain undetected errors; this is the fundamental nature of error-checking).[2]

Data integrity

CRCs are specifically designed to protect against common types of errors on communication channels, where they can provide quick and reasonable assurance of the integrity of messages delivered. However, they are not suitable for protecting against intentional alteration of data.

Firstly, as there is no authentication, an attacker can edit a message and recompute the CRC without the substitution being detected. When stored alongside the data, CRCs and cryptographic hash functions by themselves do not protect against intentional modification of data. Any application that requires protection against such attacks must use cryptographic authentication mechanisms, such as message authentication codes or digital signatures (which are commonly based on cryptographic hash functions).

Secondly, unlike cryptographic hash functions, CRC is an easily reversible function, which makes it unsuitable for use in digital signatures.[3]

Thirdly, CRC is a linear function with a property that ; as a result, even if the CRC is encrypted with a stream cipher that uses XOR as its combining operation (or mode of block cipher which effectively turns it into a stream cipher, such as OFB or CFB), both the message and the associated CRC can be manipulated without knowledge of the encryption key; this was one of the well-known design flaws of the Wired Equivalent Privacy (WEP) protocol.[4]


To compute an n-bit binary CRC, line the bits representing the input in a row, and position the (n + 1)-bit pattern representing the CRC's divisor (called a "polynomial") underneath the left-hand end of the row.

In this example, we shall encode 14 bits of message with a 3-bit CRC, with a polynomial x3 + x + 1. The polynomial is written in binary as the coefficients; a 3rd-order polynomial has 4 coefficients (1x3 + 0x2 + 1x + 1). In this case, the coefficients are 1, 0, 1 and 1. The result of the calculation is 3 bits long.

Start with the message to be encoded:


This is first padded with zeros corresponding to the bit length n of the CRC. Here is the first calculation for computing a 3-bit CRC:

11010011101100 000 <--- input right padded by 3 bits
1011               <--- divisor (4 bits) = x³ + x + 1
01100011101100 000 <--- result

The algorithm acts on the bits directly above the divisor in each step. The result for that iteration is the bitwise XOR of the polynomial divisor with the bits above it. The bits not above the divisor are simply copied directly below for that step. The divisor is then shifted one bit to the right, and the process is repeated until the divisor reaches the right-hand end of the input row. Here is the entire calculation:

11010011101100 000 <--- input right padded by 3 bits
1011               <--- divisor
01100011101100 000 <--- result (note the first four bits are the XOR with the divisor beneath, the rest of the bits are unchanged)
 1011              <--- divisor ...
00111011101100 000
00010111101100 000
00000001101100 000 <--- note that the divisor moves over to align with the next 1 in the dividend (since quotient for that step was zero)
       1011             (in other words, it doesn't necessarily move one bit per iteration)
00000000110100 000
00000000011000 000
00000000001110 000
00000000000101 000 
           101 1
00000000000000 100 <--- remainder (3 bits).  Division algorithm stops here as dividend is equal to zero.

Since the leftmost divisor bit zeroed every input bit it touched, when this process ends the only bits in the input row that can be nonzero are the n bits at the right-hand end of the row. These n bits are the remainder of the division step, and will also be the value of the CRC function (unless the chosen CRC specification calls for some postprocessing).

The validity of a received message can easily be verified by performing the above calculation again, this time with the check value added instead of zeroes. The remainder should equal zero if there are no detectable errors.

11010011101100 100 <--- input with check value
1011               <--- divisor
01100011101100 100 <--- result
 1011              <--- divisor ...
00111011101100 100

00000000001110 100
00000000000101 100 
           101 1
                 0 <--- remainder

The following Python code outlines a function which will return the initial CRC remainder for a chosen input and polynomial, with either 1 or 0 as the initial padding. Note that this code works with string inputs rather than raw numbers:

def crc_remainder(input_bitstring, polynomial_bitstring, initial_filler):
	'''Calculates the CRC remainder of a string of bits using a chosen polynomial. initial_filler should be '1' or '0'.'''
	len_polynomial = len(polynomial_bitstring)
	range_len_polynomial = range(len_polynomial)
	len_input = len(input_bitstring)
	input_padded_array = list(input_bitstring + initial_filler*(len_polynomial - 1))
	while '1' in input_padded_array[:len_input]:
		cur_shift = input_padded_array.index('1')
		for i in range_len_polynomial:
			input_padded_array[cur_shift + i] = '0' if polynomial_bitstring[i] == input_padded_array[cur_shift + i] else '1'
	return ''.join(input_padded_array)[len_input:]


Mathematical analysis of this division-like process reveals how to select a divisor that guarantees good error-detection properties. In this analysis, the digits of the bit strings are taken as the coefficients of a polynomial in some variable x—coefficients that are elements of the finite field GF(2), instead of more familiar numbers. The set of binary polynomials is a mathematical ring.

Designing polynomials

The selection of the generator polynomial is the most important part of implementing the CRC algorithm. The polynomial must be chosen to maximize the error-detecting capabilities while minimizing overall collision probabilities.

The most important attribute of the polynomial is its length (largest degree(exponent) +1 of any one term in the polynomial), because of its direct influence on the length of the computed check value.

The most commonly used polynomial lengths are:

A CRC is called an n-bit CRC when its check value is n-bits. For a given n, multiple CRCs are possible, each with a different polynomial. Such a polynomial has highest degree n, and hence n + 1 terms (the polynomial has a length of n + 1). The remainder has length n. The CRC has a name of the form CRC-n-XXX.

The design of the CRC polynomial depends on the maximum total length of the block to be protected (data + CRC bits), the desired error protection features, and the type of resources for implementing the CRC, as well as the desired performance. A common misconception is that the "best" CRC polynomials are derived from either irreducible polynomials or irreducible polynomials times the factor 1 + x, which adds to the code the ability to detect all errors affecting an odd number of bits.[5] In reality, all the factors described above should enter into the selection of the polynomial and may lead to a reducible polynomial. However, choosing a reducible polynomial will result in a certain proportion of missed errors, due to the quotient ring having zero divisors.

The advantage of choosing a primitive polynomial as the generator for a CRC code is that the resulting code has maximal total block length in the sense that all 1-bit errors within that block length have different remainders (also called syndromes) and therefore, since the remainder is a linear function of the block, the code can detect all 2-bit errors within that block length. If is the degree of the primitive generator polynomial, then the maximal total block length is , and the associated code is able to detect any single-bit or double-bit errors.[6] We can improve this situation. If we use the generator polynomial , where is a primitive polynomial of degree , then the maximal total block length is , and the code is able to detect single, double, triple and any odd number of errors.

A polynomial that admits other factorizations may be chosen then so as to balance the maximal total blocklength with a desired error detection power. The BCH codes are a powerful class of such polynomials. They subsume the two examples above. Regardless of the reducibility properties of a generator polynomial of degree r, if it includes the "+1" term, the code will be able to detect error patterns that are confined to a window of r contiguous bits. These patterns are called "error bursts".


The concept of the CRC as an error-detecting code gets complicated when an implementer or standards committee uses it to design a practical system. Here are some of the complications:

These complications mean that there are three common ways to express a polynomial as an integer: the first two, which are mirror images in binary, are the constants found in code; the third is the number found in Koopman's papers. In each case, one term is omitted. So the polynomial may be transcribed as:

In the table below they are shown as:

Examples of CRC Representations
Name Normal Reversed Reversed reciprocal
CRC-4 0x3 0xC 0x9

Standards and common use

Numerous varieties of cyclic redundancy checks have been incorporated into technical standards. By no means does one algorithm, or one of each degree, suit every purpose; Koopman and Chakravarty recommend selecting a polynomial according to the application requirements and the expected distribution of message lengths.[7] The number of distinct CRCs in use has confused developers, a situation which authors have sought to address.[5] There are three polynomials reported for CRC-12,[7] nineteen conflicting definitions of CRC-16, and seven of CRC-32.[8]

The polynomials commonly applied are not the most efficient ones possible. Since 1993, Koopman, Castagnoli and others have surveyed the space of polynomials between 3 and 64 bits in size,[7][9][10][11] finding examples that have much better performance (in terms of Hamming distance for a given message size) than the polynomials of earlier protocols, and publishing the best of these with the aim of improving the error detection capacity of future standards.[10] In particular, iSCSI and SCTP have adopted one of the findings of this research, the CRC-32C (Castagnoli) polynomial.

The design of the 32-bit polynomial most commonly used by standards bodies, CRC-32-IEEE, was the result of a joint effort for the Rome Laboratory and the Air Force Electronic Systems Division by Joseph Hammond, James Brown and Shyan-Shiang Liu of the Georgia Institute of Technology and Kenneth Brayer of the MITRE Corporation. The earliest known appearances of the 32-bit polynomial were in their 1975 publications: Technical Report 2956 by Brayer for MITRE, published in January and released for public dissemination through DTIC in August,[12] and Hammond, Brown and Liu's report for the Rome Laboratory, published in May.[13] Both reports contained contributions from the other team. During December 1975, Brayer and Hammond presented their work in a paper at the IEEE National Telecommunications Conference: the IEEE CRC-32 polynomial is the generating polynomial of a Hamming code and was selected for its error detection performance.[14] Even so, the Castagnoli CRC-32C polynomial used in iSCSI or SCTP matches its performance on messages from 58 bits to 131 kbits, and outperforms it in several size ranges including the two most common sizes of Internet packet.[10] The ITU-T standard also uses CRC-32C to detect errors in the payload (although it uses CRC-16-CCITT for PHY headers).

The table below lists only the polynomials of the various algorithms in use. Variations of a particular protocol can impose pre-inversion, post-inversion and reversed bit ordering as described above. For example, the CRC32 used in Gzip and Bzip2 use the same polynomial, but Gzip employs reversed bit ordering, while Bzip2 does not.[8]

CRCs in proprietary protocols might be obfuscated by using a non-trivial initial value and a final XOR, but these techniques do not add cryptographic strength to the algorithm and can be reverse engineered using straightforward methods.[15]

See Polynomial representations of cyclic redundancy checks for the algebraic representations of the polynomials for the CRCs below.

Name Uses Polynomial representations
Normal Reversed Reversed reciprocal
CRC-1 most hardware; also known as parity bit 0x1 0x1 0x1
CRC-4-ITU G.704 0x3 0xC 0x9
CRC-5-EPC Gen 2 RFID[16] 0x09 0x12 0x14
CRC-5-ITU G.704 0x15 0x15 0x1A
CRC-5-USB USB token packets 0x05 0x14 0x12
CRC-6-CDMA2000-A mobile networks[17] 0x27 0x39 0x33
CRC-6-CDMA2000-B mobile networks[17] 0x07 0x38 0x23
CRC-6-DARC Data Radio Channel[18] 0x19 0x26 0x2C
CRC-6-ITU G.704 0x03 0x30 0x21
CRC-7 telecom systems, G.707, G.832, MMC, SD 0x09 0x48 0x44
CRC-7-MVB Train Communication Network, IEC 60870-5[19] 0x65 0x53 0x72
CRC-8 DVB-S2[20] 0xD5 0xAB 0xEA[7]
CRC-8-AUTOSAR automotive integration,[21] OpenSafety[22] 0x2F 0xF4 0x97[7]
CRC-8-CCITT I.432.1; ATM HEC, ISDN HEC and cell delineation 0x07 0xE0 0x83
CRC-8-Dallas/Maxim 1-Wire bus 0x31 0x8C 0x98
CRC-8-DARC Data Radio Channel[18] 0x39 0x9C 0x9C
CRC-8-SAE J1850 AES3 0x1D 0xB8 0x8E
CRC-8-WCDMA mobile networks[17][23] 0x9B 0xD9 0xCD[7]
CRC-10 ATM; I.610 0x233 0x331 0x319
CRC-10-CDMA2000 mobile networks[17] 0x3D9 0x26F 0x3EC
CRC-11 FlexRay[24] 0x385 0x50E 0x5C2
CRC-12 telecom systems[25][26] 0x80F 0xF01 0xC07[7]
CRC-12-CDMA2000 mobile networks[17] 0xF13 0xC8F 0xF89
CRC-13-BBC Time signal, Radio teleswitch[27] 0x1CF5 0x15E7 0x1E7A
CRC-14-DARC Data Radio Channel[18] 0x0805 0x2804 0x2402
CRC-15-CAN 0x4599[28][29] 0x4CD1 0x62CC
CRC-15-MPT1327 [30] 0x6815 0x540B 0x740A
CRC-16-Chakravarty Optimal for payloads ≤64 bits[19] 0x2F15 0xA8F4 0x978A
CRC-16-ARINC ACARS applications[31] 0xA02B 0xD405 0xD015
CRC-16-CCITT X.25, V.41, HDLC FCS, XMODEM, Bluetooth, PACTOR, SD, DigRF, many others; known as CRC-CCITT 0x1021 0x8408 0x8810[7]
CRC-16-CDMA2000 mobile networks[17] 0xC867 0xE613 0xE433
CRC-16-DECT cordless telephones[32] 0x0589 0x91A0 0x82C4
CRC-16-T10-DIF SCSI DIF 0x8BB7[33] 0xEDD1 0xC5DB
CRC-16-DNP DNP, IEC 870, M-Bus 0x3D65 0xA6BC 0x9EB2
CRC-16-IBM Bisync, Modbus, USB, ANSI X3.28, SIA DC-07, many others; also known as CRC-16 and CRC-16-ANSI 0x8005 0xA001 0xC002
CRC-16-OpenSafety-A safety fieldbus[22] 0x5935 0xAC9A 0xAC9A[7]
CRC-16-OpenSafety-B safety fieldbus[22] 0x755B 0xDAAE 0xBAAD[7]
CRC-16-Profibus fieldbus networks[34] 0x1DCF 0xF3B8 0x8EE7
Fletcher Used in Adler-32 A & B Checksums Not a CRC; see Fletcher's checksum
CRC-17-CAN CAN FD[35] 0x1685B 0x1B42D 0x1B42D
CRC-21-CAN CAN FD[35] 0x102899 0x132281 0x18144C
CRC-24 FlexRay[24] 0x5D6DCB 0xD3B6BA 0xAEB6E5
CRC-24-Radix-64 OpenPGP, RTCM104v3 0x864CFB 0xDF3261 0xC3267D
CRC-30 CDMA 0x2030B9C7 0x38E74301 0x30185CE3
Adler-32 Zlib Not a CRC; see Adler-32
CRC-32 HDLC, ANSI X3.66, ITU-T V.42, Ethernet, Serial ATA, MPEG-2, PKZIP, Gzip, Bzip2, PNG,[36] many others 0x04C11DB7 0xEDB88320 0x82608EDB[10]
CRC-32C (Castagnoli) iSCSI, SCTP, payload, SSE4.2, Btrfs, ext4, Ceph 0x1EDC6F41 0x82F63B78 0x8F6E37A0[10]

(Koopman {1,3,28})

0x741B8CD7 0xEB31D82E 0xBA0DC66B[10]

(Koopman {1,1,30})

0x32583499 0x992C1A4C 0x992C1A4C[10]
CRC-32Q aviation; AIXM[37] 0x814141AB 0xD5828281 0xC0A0A0D5
CRC-40-GSM GSM control channel[38][39] 0x0004820009 0x9000412000 0x8002410004
CRC-64-ECMA ECMA-182, XZ Utils 0x42F0E1EBA9EA3693 0xC96C5795D7870F42 0xA17870F5D4F51B49
CRC-64-ISO HDLC, Swiss-Prot/TrEMBL; considered weak for hashing[40] 0x000000000000001B 0xD800000000000000 0x800000000000000D


See also


  1. Peterson, W. W.; Brown, D. T. (January 1961). "Cyclic Codes for Error Detection". Proceedings of the IRE. 49 (1): 228–235. doi:10.1109/JRPROC.1961.287814.
  2. Ritter, Terry (February 1986). "The Great CRC Mystery". Dr. Dobb's Journal. 11 (2): 26–34, 76–83. Retrieved 21 May 2009.
  3. Stigge, Martin; Plötz, Henryk; Müller, Wolf; Redlich, Jens-Peter (May 2006). "Reversing CRC – Theory and Practice" (PDF). Berlin: Humboldt University Berlin: 17. Retrieved 4 February 2011. The presented methods offer a very easy and efficient way to modify your data so that it will compute to a CRC you want or at least know in advance.
  4. Cam-Winget, Nancy; Housley, Russ; Wagner, David; Walker, Jesse (May 2003). "Security Flaws in 802.11 Data Link Protocols". Communications of the ACM. 46 (5): 35–39. doi:10.1145/769800.769823.
  5. 1 2 3 Williams, Ross N. (24 September 1996). "A Painless Guide to CRC Error Detection Algorithms V3.0". Retrieved 5 June 2010.
  6. Press, WH; Teukolsky, SA; Vetterling, WT; Flannery, BP (2007). "Section 22.4 Cyclic Redundancy and Other Checksums". Numerical Recipes: The Art of Scientific Computing (3rd ed.). New York: Cambridge University Press. ISBN 978-0-521-88068-8.
  7. 1 2 3 4 5 6 7 8 9 10 Koopman, Philip; Chakravarty, Tridib (June 2004). "Cyclic Redundancy Code (CRC) Polynomial Selection For Embedded Networks" (PDF). The International Conference on Dependable Systems and Networks: 145–154. doi:10.1109/DSN.2004.1311885. ISBN 0-7695-2052-9. Retrieved 14 January 2011.
  8. 1 2 Cook, Greg (27 July 2016). "Catalogue of parametrised CRC algorithms". Retrieved 1 August 2016.
  9. Castagnoli, G.; Bräuer, S.; Herrmann, M. (June 1993). "Optimization of Cyclic Redundancy-Check Codes with 24 and 32 Parity Bits". IEEE Transactions on Communications. 41 (6): 883–892. doi:10.1109/26.231911.
  10. 1 2 3 4 5 6 7 Koopman, Philip (July 2002). "32-Bit Cyclic Redundancy Codes for Internet Applications" (PDF). The International Conference on Dependable Systems and Networks: 459–468. doi:10.1109/DSN.2002.1028931. ISBN 0-7695-1597-5. Retrieved 14 January 2011.
  11. Koopman, Philip (21 January 2016). "Best CRC Polynomials". Pittsburgh: Carnegie Mellon University. Retrieved 26 January 2016.
  12. Brayer, Kenneth (August 1975). "Evaluation of 32 Degree Polynomials in Error Detection on the SATIN IV Autovon Error Patterns". National Technical Information Service: 74. Retrieved 3 February 2011.
  13. Hammond, Joseph L., Jr.; Brown, James E.; Liu, Shyan-Shiang (1975). "Development of a Transmission Error Model and an Error Control Model" (PDF). Unknown. National Technical Information Service (published May 1975). 76: 74. Bibcode:1975STIN...7615344H. Retrieved 7 July 2012.
  14. Brayer, Kenneth; Hammond, Joseph L., Jr. (December 1975). "Evaluation of error detection polynomial performance on the AUTOVON channel". Conference Record. IEEE National Telecommunications Conference, New Orleans, La. 1. New York: Institute of Electrical and Electronics Engineers. pp. 8–21 to 8–25. Bibcode:1975ntc.....1....8B.
  15. Ewing, Gregory C. (March 2010). "Reverse-Engineering a CRC Algorithm". Christchurch: University of Canterbury. Retrieved 26 July 2011.
  16. Class-1 Generation-2 UHF RFID Protocol (PDF). 1.2.0. EPCglobal. 23 October 2008. p. 35. Retrieved 4 July 2012. (Table 6.12)
  17. 1 2 3 4 5 6 Physical layer standard for cdma2000 spread spectrum systems (PDF). Revision D version 2.0. 3rd Generation Partnership Project 2. October 2005. pp. 2–89–2–92. Retrieved 14 October 2013.
  18. 1 2 3 "11. Error correction strategy". ETSI EN 300 751 (PDF). V1.2.1. Sophia Antipolis, France: European Telecommunications Standards Institute. January 2003. pp. 67–8. Retrieved 26 January 2016.
  19. 1 2 Chakravarty, Tridib (December 2001). Performance of Cyclic Redundancy Codes for Embedded Networks (PDF) (Thesis). Philip Koopman, advisor. Pittsburgh: Carnegie Mellon University. pp. 5,18. Retrieved 8 July 2013.
  20. "5.1.4 CRC-8 encoder (for packetized streams only)". EN 302 307 (PDF). V1.3.1. Sophia Antipolis, France: European Telecommunications Standards Institute. March 2013. p. 17. Retrieved 29 July 2016.
  21. " 8-bit 0x2F polynomial CRC Calculation". Specification of CRC Routines (PDF). 4.2.2. Munich: AUTOSAR. 22 July 2015. p. 24. Retrieved 24 July 2016.
  22. 1 2 3 " Cyclic Redundancy Check field (CRC-8 / CRC-16)". openSAFETY Safety Profile Specification: EPSG Working Draft Proposal 304. 1.4.0. Berlin: Ethernet POWERLINK Standardisation Group. 13 March 2013. p. 42. Retrieved 22 July 2016.
  23. Richardson, Andrew (17 March 2005). WCDMA Handbook. Cambridge, UK: Cambridge University Press. p. 223. ISBN 0-521-82815-5.
  24. 1 2 FlexRay Protocol Specification. 3.0.1. Flexray Consortium. October 2010. p. 114. (4.2.8 Header CRC (11 bits))
  25. Perez, A. (1983). "Byte-Wise CRC Calculations". IEEE Micro. 3 (3): 40–50. doi:10.1109/MM.1983.291120.
  26. Ramabadran, T.V.; Gaitonde, S.S. (1988). "A tutorial on CRC computations". IEEE Micro. 8 (4): 62–75. doi:10.1109/40.7773.
  27. Ely, S.R.; Wright, D.T. (March 1982). L.F. Radio-Data: specification of BBC experimental transmissions 1982 (PDF). Research Department, Engineering Division, The British Broadcasting Corporation. p. 9. Retrieved 11 October 2013.
  28. Cyclic Redundancy Check (CRC): PSoC Creator™ Component Datasheet. Cypress Semiconductor. 20 February 2013. p. 4. Retrieved 26 January 2016.
  29. "Cyclic redundancy check (CRC) in CAN frames". CAN in Automation. Retrieved 26 January 2016.
  30. "3.2.3 Encoding and error checking". A signalling standard for trunked private land mobile radio systems (MPT 1327) (PDF) (3rd ed.). Ofcom. June 1997. p. 3-3. Retrieved 16 July 2012.
  31. Rehmann, Albert; Mestre, José D. (February 1995). "Air Ground Data Link VHF Airline Communications and Reporting System (ACARS) Preliminary Test Report" (PDF). Federal Aviation Authority Technical Center: 5. Retrieved 7 July 2012.
  32. "6.2.5 Error control". ETSI EN 300 175-3 (PDF). V2.5.1. Sophia Antipolis, France: European Telecommunications Standards Institute. August 2013. pp. 99,101. Retrieved 26 January 2016.
  33. Thaler, Pat (28 August 2003). "16-bit CRC polynomial selection" (PDF). INCITS T10. Retrieved 11 August 2009.
  34. "8.8.4 Check Octet (FCS)". PROFIBUS Specification Normative Parts (PDF). 1.0. 9. Profibus International. March 1998. p. 906. Retrieved 9 July 2016.
  35. 1 2 CAN with Flexible Data-Rate Specification (PDF). 1.0. Robert Bosch GmbH. April 17, 2012. p. 13. (3.2.1 DATA FRAME)
  36. Boutell, Thomas; Randers-Pehrson, Glenn; et al. (14 July 1998). "PNG (Portable Network Graphics) Specification, Version 1.2". Retrieved 3 February 2011.
  37. AIXM Primer (PDF). 4.5. European Organisation for the Safety of Air Navigation. 20 March 2006. Retrieved 4 July 2012.
  38. Gammel, Berndt M. (31 October 2005). Matpack documentation: Crypto - Codes. Retrieved 21 April 2013. (Note: MpCRC.html is included with the Matpack compressed software source code, under /html/LibDoc/Crypto)
  39. Geremia, Patrick (April 1999). "Cyclic redundancy check computation: an implementation using the TMS320C54x" (PDF) (SPRA530). Texas Instruments: 5. Retrieved 4 July 2012.
  40. Jones, David T. "An Improved 64-bit Cyclic Redundancy Check for Protein Sequences" (PDF). University College London. Retrieved 15 December 2009.

External links

This article is issued from Wikipedia - version of the 12/3/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.