The method is based on the application of signal flow graph and specially defined graph adjoint to it. The method is equally applied to either feed-forward or recurrent network structures. This paper is mainly concerned with neural network applications of the approach. Different kinds of dynamic ...
Such a factorization is highly sensitive to numerical integration and round-off errors committed, which may result in losing the covariance's positivity and, hence, failing the Cholesky decomposition. The latter problem is usually solved in the form of square-root filtering implementations, which ...
摘要: A signal flow graph is given and a corresponding Fortran program for the Haar-Fourier transform is described. The algorithm performs N - 1 additions and N - 1 subtractions on input data, N being the data number.DOI: 10.1109/TC.1972.5009086 年份: 1972 ...
Numerical coding of audio signals It's pretty clear that two's complement representation can be thought of as a coding scheme in which the signal is coded from all zeros to all ones, with the first, most-significant bit (MSB) acting as an inverted sign bit; 0 for positive values, 1 ...
Signal flow graph nonlinear modelling of interleaved converters Converter performance expressions like voltagegain, efficiency and other small-signal transfer functions arederived. A straightforward algorithm is developed to ... M Veerachary,T Senjyu,K Uezato - 《Iet Electric Power Applications》 被引量...
The LGI is illustrated with a numerical example.doi:10.3182/20100915-3-IT-2017.00037Andreas JohanssonIFAC Proceedings VolumesA. Johansson, Commuting operations on signal-flow graphs for visualization of interconnected systems, in: IFAC Symposium on System, Structure and Control, Ancona, 2010....
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The graph signal processing framework helps analyzing signals defined by graphs that represent similarity or dependency relations. In this example, the brain's structural connectivity serves as the graph for signals captured by functional MRI. Through the use of the Graph Fourier Transform (GFT) and...
(1) is different to Mason’s signal rule in general cases. It is assumed that there are M nodes and N branches in the signal flow graph. Every branch links two nodes with a transmission direction and a length L n . Electric fields transmit along the direction in the branch, and ...
Numerical results also show that the pre-equalization outperforms post equalization-only in a bandwidth-limiting system with narrowband filtering impairments [74]. In an optical coherent communication system, such as the Constant Modulus Algorithm (CMA), Multi-Modulus Algorithm (MMA) or Decision ...