Many well-known matrices Z are associated to fast transforms corresponding to factorizations of the form Z = X^(L). .. X^(1) , where each factor X^(l) is sparse. Based on general result for the case with two factors, established in a companion paper, we investigate essential uniqueness of such factorizations. We show some identifiability results for the sparse factorization into two factors of the discrete Fourier Transform, discrete cosine transform or discrete sine transform matrices of size N = 2^L , when enforcing N/2-sparsity by column on the left factor, and 2-sparsity by row on the right factor. We also show that the analysis with two factors can be extended to the multilayer case, based on a hierarchical factorization method. We prove that any matrix which is the product of L factors whose supports are exactly the so-called butterfly supports, admits a unique sparse factorization into L factors. This applies in particular to the Hadamard or the discrete Fourier transform matrix of size 2^L .
翻译:许多众所周知的基质 Z 与快速变换有关,对应的是表Z = X ⁇ (L).. X ⁇ (1) 的乘数,其中每个因数 X ⁇ (l) 稀少。根据随附文件确定的两个因数的一般结果,我们调查了这种因数的基本独特性。我们显示了将稀散因数化成离散的Fourier变形的两个因数的可辨性结果,离散共弦变异或离散正弦变异变异的因数为N = 2 ⁇ L,在左因数上按列执行N/2差,在右因数上按行执行2差。我们还表明,根据等级因数法,对多级变异因素的分析可以扩大到多层次情况。我们证明,任何L因数的产物正是所谓的蝴蝶支持,因此将独特的稀释因数化为L。这尤其适用于Hadmard或离散的四等变型变制表。