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Purser M. — Introduction to error-correcting codes
Purser M. — Introduction to error-correcting codes



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Íàçâàíèå: Introduction to error-correcting codes

Àâòîð: Purser M.

Àííîòàöèÿ:

Presents basic concepts and results which give the reader a firm grasp of the scope of the subject and a thorough understanding of the principal techniques. DLC: Signal processing.


ßçûê: en

Ðóáðèêà: Computer science/Òåîðèÿ èíôîðìàöèè/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Ãîä èçäàíèÿ: 1995

Êîëè÷åñòâî ñòðàíèö: 133

Äîáàâëåíà â êàòàëîã: 20.11.2005

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
BCH codes, error correction of binary      53—58
BCH codes, error correction of nonbinary      58—59
BCH codes, examples of      51—52
BCH codes, minimum polynomials in      47—48
BCH codes, Reed — Solomon codes      59—67
BCH codes, roots of      48—51
Berlekamp — Massey algorithm      58 125—127
Binary erasure channel      6
Binary information units (bits)      96
Binary symmetric channel (BSC)      111
Binomial approximations      113—116
Bit strings      1—7
Block codes      7
Block codes and convolutional codes      91—93
Bose — Chaudhuri — Hocquenghem codes      see "BCH codes"
BSC (binary symmetric channel)      111
Bursts, of errors      6—7
Capacity, of channel      110
Closed code      12
Code rate      8
Code(s) and error correction      3—5
Code(s), bit strings and      1—7
Code(s), block      7 91—93
Code(s), closed      12
Code(s), Golay      18 38
Code(s), immediate      97
Code(s), perfect      18—19
Code(s), Reed — Solomon      29 59—67
Code(s), repetition      18—19
Code(s), tree and trellis      69—72
Code-distance      7
Codevectors      3
Codewords      3
Columns, of null matrix      17—18
Constraint length      70
Convolutional codes, analysis of      78—81
Convolutional codes, block codes and      91—93
Convolutional codes, control of decoding errors with      77—78
Convolutional codes, defined      73
Convolutional codes, error correcting with      81—91
Convolutional codes, feedback decoding with      86—89
Convolutional codes, linear      72—78
Convolutional codes, sequential decoding with      85—86
Convolutional codes, soft-decision decoding with      84—85
Convolutional codes, syndrome decoding with      87—91
Convolutional codes, tree and trellis codes      69—72
Correlated sources      102—107
cosets      12
Cyclic codes, defined      32
Cyclic codes, error correction with      42—44
Cyclic codes, error detection with      38—42
Cyclic codes, generating polynomial for      31—35
Cyclic codes, nonbinary      44—46
Cyclic codes, roots of generating polynomial and null matrix in      35—37
Cyclic codes, shortened      40—42
Cyclic codes, systematic      33—35
Cyclic codes, weight distributions of      39—40
Decoding errors, control of      77—78
Decoding, feedback      86—89
Decoding, sequential      85—86
Decoding, soft-decision      5—7 84—85
Decoding, syndrome      89—91
Delay operator      76
Detectable errors      24—25
Distance, of linear code      17
entropy      96
Entropy of correlated source      102
Equivocation      108 111
Erasures      5—7
Error correction with binary BCH codes      53—58
Error correction with convolutional codes      81—91
Error correction with cyclic codes      42—44
Error correction with nonbinary BCH codes      58—59
Error correction, codes and      3—5
Error correction, forward      4
Error detection, with cyclic codes      38—42
Error locator      53
Error(s), bursts of      6—7
Error(s), detectable      24—25
Error(s), postdecoding      80—81
Error-recovery, by detection and retransmission      4
Feedback decoding, with convolutional codes      86—89
Feedback shift registers      40—42
Field(s)      117
Field(s), finite      11 117—124
Forward error correction (FEC)      4
Generating polynomial      31—35
Generating polynomial, roots of, and null matrix      35—37
Generator matrix      13—14
Golay code      18 38
Hamming distance      7—8
Ideal      31
Immediate code      97
Information in transit      107—111
Information rate      107
Information theory, correlated sources in      102—107
Information theory, information in transit in      107—111
Information theory, information, entropy, redundancy, and compression in      95—102
Information units, binary      96
Information, associated with event      95—96
Information, average      96
Information, maximum      96—97
Information, mutual      109 111
Interleaved RS code      63—64
Kasami method      42—43
Linear codes, bounds in practice on      23—25
Linear codes, convolutional      72—78
Linear codes, distance of      17
Linear codes, matrix representation for      11—14
Linear codes, nonbinary      25—29
Linear codes, null matrix or parity-check matrix for      14—18
Linear codes, perfect codes in      18—19
Linear codes, Plotkin bound on      20—23
Linear codes, Varsharmov — Gilbert bound on      19—20
Matrix, generator      13—14
Matrix, null      14—18
Matrix, parity      13
Matrix, parity-check      14—18
Matrix, representation of      11—14
Metric      83
Minimum polynomials, in BCH codes      47—48
Minimum weight      12
Mutual information      109 111
Nonbinary BCH codes, error correction of      58—59
Nonbinary cyclic codes      44—46
Nonbinary linear codes      25—29
Null matrix      14—18
Null matrix, columns of      17—18
Null matrix, roots of generating polynomial and      35—37
NullSpace      14
Parity matrix      13
Parity-check matrix      14—18
Perfect codes      18—19
Plotkin bound      20—23
Postdecoding errors      80—81
Preamble      72
Redundancy      2—3 97
Reed — Solomon (RS) codes      29 59—67
Reed — Solomon (RS) codes, interleaved      63—64
Reed — Solomon (RS) codes, nearness to bounds of      65—67
Reed — Solomon (RS) codes, practical use of      62—64
Reed — Solomon (RS) codes, weight distribution of      64—65
Reed — Solomon (RS) codes, worked example of      60—62
Reliability factor      6
Repetition codes      18—19
Residual error rate      64
Retransmission, error-recovery by      4
Roots of BCH codes      48—51
Roots of cyclic codes      35—37
Roots, consecutive      48
RS codes      see "Reed — Solomon (RS) codes"
Sequential decoding, with convolutional codes      85—86
Shannon's Theorem      8—10
Soft-decision decoding      5—7
Soft-decision decoding with convolutional codes      84—85
Sources, correlated      102—107
Sphere-packing      7—8
Standard array      12
subspace      12
Syndrome      15—17
Syndrome decoding, with convolutional codes      87—91
Tree codes      69—72
Trellis codes      69—72
Varsharmov — Gilbert bound      19—20
Viterbi algorithm      70—72
Weight distributions of cyclic codes      39—40
Weight distributions of Reed — Solomon code      64—65
Weight, of linear code      17
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