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A fast feature error pattern generating two-dimensional error patterns
Ren Xunhuan, Ma Jun, Konopelko, V. K.
In this paper, after comprehensive analysing the existing method for forming feature error pattern
Method for generating two-dimensional dependent errors
Ren Xunhuan, Konopelko, V. K., Tsviatkou, V. Yu., Конопелько, В. К., Цветков, В. Ю.
The method of forming patterns of dependent two-dimensional errors is considered. It is shown
Формирование образов ошибок для декодирования итеративных кодов
Жэнь, С.Х., Чэнь, И. М., Конопелько, В. К., Цветков, В. Ю.
Classify error patterns for decoding product codes
An Iterative Error Patterns Library Formation Method for the Decoding of Product Codes
Xunhuan Ren, Jun Ma, Konopelko, V., Tsviatkou, V. Y., Конопелько, В. К., Цветков, В. Ю.
library of error patterns is considered. In product coding, sequence code is first transformed into a code
Recognition of graphic patterns: Part I
Gostev I.M.
. Several recognition methods based on the suggested form are presented, and recognition errors are defined.
Итерационное формирование образов ошибок для синдромно-норменного декодирования итеративных кодов
Жэнь, С. Х., Конопелько, В. К., Цветков, В. Ю.
-dimensional syndrome-norm decoding of iterative codes based on a library of error patterns is considered
Increasing the Reliability of Pattern Recognition by Analyzing the Distribution of Errors in Estimating the Measure of Proximity between Objects
Mammadov, R., Rahimova, E., Mammadov, G.
when the value of the measure of proximity between objects (MPBO) is close to the value of the error
An improved forming algorithm of error-patterns for two-dimensional codes
Ren Xunhuan, Ma Jun, Konopelko, V. K.
for forming error vectors and the properties of error vectors, which are allowed to determining the type
Apply error patterns to correct and erase two-dimensional iterated codes
Huan, R. X., Konopelko, V. K., Tsviatkou, V. Yu., Конопелько, В. К., Цветков, В. Ю.
method for correcting and erasing errors of iterated codes for a two-dimensional (2D) interference
Numerical aspects of statistical pattern recognition
Orlov Y.N., Zaripova E.R., Chukarin A.V.
of examined vector over the patterns. The practical recognition example without errors is presented

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