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Arbitrary FIR Filter Synthesis Using a Neural Network (1998)

Tan, Ying ; He, Zhenya

Springer

Neural processing letters 8 (1998), S. 9-13

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ISSN: 1573-773X

Keywords: neural network evolutionary optimization ; arbitrary FIR filter synthesis ; eigenproblem

Source: Springer Online Journal Archives 1860-2000

Topics: Computer Science

Notes: Abstract We propose a neural network to synthesize an arbitrary FIR filter in a least square sense. The network can evolve to its steady-states or equilibrium points from any initial state in the magnitude of the circuit's time constant. Under the steady-state, the output of the network is just our designed FIR filter coefficient if a real, symmetric, and positive-definite matrix calculated by the design specifications is directly used as the synaptic strength matrix.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1009608911373

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