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In coding theory, a parity-check matrix of a linear block code ''C'' is a matrix which describes the linear relations that the components of a codeword must satisfy. It can be used to decide whether a particular vector is a codeword and is also used in decoding algorithms. ==Definition== Formally, a parity check matrix, ''H'' of a linear code ''C'' is a generator matrix of the dual code, ''C''⊥. This means that a codeword c is in ''C ''if and only if the matrix-vector product (some authors〔for instance, 〕 would write this in an equivalent form, c''H''⊤ = 0.) The rows of a parity check matrix are the coefficients of the parity check equations. That is, they show how linear combinations of certain digits (components) of each codeword equal zero. For example, the parity check matrix :, compactly represents the parity check equations, :, that must be satisfied for the vector to be a codeword of ''C''. From the definition of the parity-check matrix it directly follows the minimum distance of the code is the minimum number ''d'' such that every ''d'' columns of a parity-check matrix ''H'' are linearly independent while there exist ''d+1'' columns of ''H'' that are linearly dependent. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Parity-check matrix」の詳細全文を読む スポンサード リンク
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