Decomposition of the nodal conductance matrix of a planar resistive grid and derivation of its eigenvalues and eigenvectors using the kronecker product and sum with application to cnn image filters
Yükleniyor...
Dosyalar
Tarih
2016-12
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
It is shown that an (M× N)-node planar resistive grid can be decomposed into two sub-grids; one made up of M N-node horizontal and the other of N M-node vertical linear resistive grids which corresponds to decomposing its nodal conductance matrix (NCM) into the Kronecker sum of the NCMs of horizontal and vertical linear grids. This enables the analytical expressions of the eigenvalues and eigenvectors of the NCMs of the sub-grids as well as those of the planar resistive grid to be expressed in terms of those of the two linear grids, whose analytical expressions are well known. For a Cellular Neural Network (CNN) Gabor-type filter (GTF) we define generalized nodal conductance matrices (GNCMs) that correspond to the NCMs of the resistive sub-grids, show that each Kronecker decomposition has a counterpart in CNN GTF and prove that each GNCM, its counterpart NCM and the corresponding temporal state matrices are related through unitary diagonal similarity transformations. Consequently, we prove that the eigenvalues of the temporal state matrix of a spatial band-pass CNN GTF are the same as those of its counterpart spatial low-pass CNN image filter, hence their temporal transient behaviors are similar in settling to a forced response.
Açıklama
Anahtar Kelimeler
CNN low-pass and Gabor-type filters, Kronecker product, Nodal conductance matrix, Resistive grid, Bandpass filters, Cellular neural networks, Gabor filters, Linear transformations, Low pass filters, Matrix algebra, Analytical expressions, Conductance matrix, Eigenvalues and eigenvectors, Low-pass, Similarity transformation, Transient behavior, Eigenvalues and eigenfunctions
Kaynak
IEEE Transactions on Circuits and Systems I: Regular Papers
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
63
Sayı
12
Künye
Tavşanoğlu, A. V. (2016). Decomposition of the nodal conductance matrix of a planar resistive grid and derivation of its eigenvalues and eigenvectors using the kronecker product and sum with application to CNN image filters. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(12), 2169-2179. doi:10.1109/TCSI.2016.2617918