The fractal transform is outlined and shown to be a solution to pixel based image resolution related problems. Two Port Networks Concept of two port networks, Driving point and transfer functions, Open circuit and short circuit parameters, Transmission and inverse transmission parameters, Hybrid parameters, Inter-relationship of different parameters, Interconnection of two port networks, T and pi representation, Terminated two port networks. Regarding sign convention of nodal currents, we take the currents entering the nodes as -Ve while the currents leaving the nodes are +Ve. The application of these two techniques being described earlier for , they are well applied in a. For an optimal experience, please consider upgrading to the most recent version of your browser. Cut-sets and cut-set matrix, Fundamental cut-sets and fundamental tie-sets, Planar graphs, A and B matrices, Loop, Node, Node pair equations, Duality.
Laplace Transforms Properties of Laplace transforms, Basic theorems, Laplace transform of gate function, Impulse function and periodic functions, Convolution integral, Inverse Laplace transform, Application of Laplace transforms to solution of network problems. Nodal Analysis Node voltage analysis of a. Transient and Frequency Analysis Transient response of R-L, R-C, R-L-C circuits series combinations only for d. MatchMaker, a technique based on fractal transform analysis is analyzed and its ability to find objects in complex scenes is confirmed. Problems relating to pixel based image resolution are highlighted.
Network Theorem described in S. Since the discussion of theoretical aspects have been well covered in the dc, applications, hence in theoretical discussions regarding these theorems here, only the variations required in a. There is a more recent version of your browser available. When two or more sources are present in a network and they are connected in such a way that they are not mutually in series or in parallel, special network solution methods like mesh analysis or nodal analysis must be employed. Kirchhoff's law, Loop variable analysis, Node variable analysis, Source transformations, Reference directions for current and voltage, Active element conventions, Dot convention for coupled circuits, Linearity, Superposition, Thevenin's and Norton's, Maximum power for a.
Built from neural network elements commonly described in the classic neural network literature, it is shown that this new paradigm can implement the MatchMaker technique and other fractal transform processes as highly parallel networks. The difference is that in a. Fundamentals of Network Synthesis Realizability concept, Hurwitz property, Positive realness, Properties of positive real functions, Testing positive real functions, Synthesis of R-L, R-C and L-C driving point functions - Foster and Cauer forms. This can be accomplished in the same manner as we do for d. .
Linear Graphs Introductory definitions, The incidence matrix A, The loop matrix B, Relationship between submatrix of A and B. Source Conversions When applying the network theorems in the a. The diagrammatic representation of the dependent sources is similar to that we have shown in analyzing the d. In addition to application of mesh or nodal analysis in a. If you believe your browser is up-to-date, you may have Internet Explorer's Compatibility View turned on. Here are the lists of A.
Go to our Resources and Help section for instructions on. The fractal transform is a recently developed tool for image analysis and pattern recognition. A new neural network paradigm, called the fractal transform network, is described. In the frequency domain network having n-principle nodes, one of them is designated as the reference node and we require n-1 node voltage equations to solve for the desired result. A dependent or controlled source is that whose magnitude is governed by a current or voltage of the system in which it is situated. Independent and Dependent Sources The term independent indicates that the magnitude of the source is independent of the network to which it is applied and that is exhibits its terminal characteristics even if completely isolated. .
. . . . .
. . . . . . .