A class of error locating codes for byte-organized memory systems

Fujiwara, Eiji; Kitakami, Masato

doi:10.1109/ftcs.1993.627313

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…The proof is completed by replacing j by t. 2 Example 2.3. Consider a (16,9) binary code with the 7 × 16 matrix H which is constructed by the synthesis procedure explained in the proof of…”

Section: Detection Of E or Less Errors In Multiple Sub-blocksmentioning

confidence: 99%

“…The paper [17] introduced the concept of error-locating codes (EL-codes)-which stands in between error detection and error correction concept. EL-Codes are found to be useful for diagnosing fault in computer systems and reducing the retransmission cost in communication systems [11], semiconductor memory module [9]. In this technique, the block of received digits is subdivided into some mutually exclusive sub-blocks and while decoding, if error occurs within sub-block(s), one can detect the error as well as one can identify which particular sub-block(s) contains the error.…”

Section: Introductionmentioning

confidence: 99%

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Codes detecting, locating and correcting random errors occurring in multiple sub-blocks

Das

2019

Proyecciones (Antofagasta)

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In this paper, we study bounds on the number of check digits of linear codes that can detect multiple sub-blocks each affected by e or less random errors and can locate such corrupted multiple sub-blocks. Further, we obtain an upper bound on the number of check digits of linear codes which can correct such errors occurring in multiple subblocks. We also give examples of such codes. Subjclass [2010]. 94B05, 94B65.

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Section: Detection Of E or Less Errors In Multiple Sub-blocksmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Codes detecting, locating and correcting random errors occurring in multiple sub-blocks

Das

2019

Proyecciones (Antofagasta)

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“…This paper demonstrates a method of construction of asymmetric error locating codes which indicate the location of erroneous characters, or erroneous symbols under a directional error model, that is, a new asymmetric error model [11,12], and provides an evaluation of the codes.…”

Section: Introductionmentioning

confidence: 99%

q‐ary asymmetric error locating codes under the directional error model

Saowapa

Kaneko

Fujiwara

2003

Electron Comm Jpn Pt III

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SUMMARYCharacter recognition systems, which employ a machine to recognize handwritten or printed characters, are prone to recognition errors in the cases of characters which are similar in shape. For example, the numerical character 7 is frequently mistaken for 9, and vice versa. In contrast, the characters 7 and 4 are not similar in shape, and 7 is unlikely to be mistaken for 4, or vice versa. Therefore, the rate of recognition error between these characters will be low. By considering this type of error model, this paper defines a new q-ary asymmetric error and proposes a method for constructing single q-ary asymmetric error locating codes. It also presents an evaluation of the code, demonstrating its superiority to the conventional single q-ary symmetric error correcting code.

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Two error-detecting and correcting circuits for space applications

Johansson

Proceedings of Annual Symposium on Fault Tolerant Computing

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A class of error locating codes for byte-organized memory systems

Cited by 6 publications

References 10 publications

Codes detecting, locating and correcting random errors occurring in multiple sub-blocks

Codes detecting, locating and correcting random errors occurring in multiple sub-blocks

q‐ary asymmetric error locating codes under the directional error model

Two error-detecting and correcting circuits for space applications

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