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Properties and encoding aspects of direct product convolutional codes

机译:直接积卷积码的性质和编码方面

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In this paper we investigate the properties of the generator matrices of a new class of convolutional codes, called product convolutional codes, which were previously defined and investigated by the authors. The new codes are constructed using the well-known method of the direct product for combining block codes. Convolutional codes are considered as block codes over the field of rational functions F(D). The description of convolutional codes as block codes allows the successful application of the direct product method to convolutional codes, and, in addition, leads to a general method to construct new convolutional codes based on already known combining methods for block codes. Expressions for the generator matrices of the product convolutional codes are given and several of their properties, which were not addressed before, are determined. The relationship between the properties of the direct product encoder generator matrix and the properties of the vertical and horizontal constituent encoders generator matrices is derived. Rational generator matrices, as well as polynomial generator matrices, are addressed.
机译:在本文中,我们研究了由作者预先定义和研究的一类称为积卷积码的新型卷积码的生成矩阵的性质。新代码是使用直接产品的公知方法构造的,用于组合分组代码。卷积码被认为是有理函数F(D)范围内的分组码。将卷积码描述为分组码可以将直接乘积法成功地应用于卷积码,此外,还导致了基于已知的分组码组合方法构造新卷积码的通用方法。给出了乘积卷积码生成矩阵的表达式,并确定了它们以前未涉及的一些特性。推导直接乘积编码器生成器矩阵的属性与垂直和水平组成编码器生成器矩阵的属性之间的关系。解决了有理生成器矩阵以及多项式生成器矩阵。

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