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Method of fast 1-D paired transforms for computing the 2D discreteHadamard transform

机译:快速一维成对变换方法,用于计算二维离散哈达玛变换

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In this brief, two different approaches to compute the 2-Dndiscrete Hadamard transform (DHAT) of sizes 2r×2rn, r>1 are presented. Both are based on the so-called 1-Dndiscrete paired transforms, which split the 2r-point DHATninto a set of smaller 2r-1-point transforms, i=1:r. The firstnapproach is a column (row)-wise algorithm which requires, on average, nonmore than 12 operations of additions per sample. The second approach isna splitting algorithm, in which then2r×2r-point DHAT is reduced to thencomputation of 2r-13 1-D DHATs instead of 2r+1 1-DnDHAT's in the column (row)-wise algorithm, but requires more operationsnof additions. Examples and comparison of the proposed algorithms withnthe known algorithms are provided
机译:在本简介中,提出了两种不同的方法来计算大小为2r×2rn,r> 1的2-Dn离散离散Hadamard变换(DHAT)。两者都基于所谓的1-Dn离散离散对变换,该变换将2r点DHATn分成一组较小的2r-1点变换,即i = 1:r。第一个方法是逐行(列)算法,每个样本平均需要不超过12次加法运算。第二种方法是isna拆分算法,其中将2r×2r点DHAT简化为2r-13 1-D DHAT的计算,而不是列(行)算法中的2r + 1 1-DnDHAT的计算,但是需要更多的操作。提供了所提出算法与已知算法的示例和比较

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