Abstract
In this study, design of digital filters obtained from the analog filter with bilinear transform using neural networks is proposed. For this purpose, generally, function approximation feature of the feedforward neural networks is utilized. Proposed method has been tested using multilayer perceptron (MLP), radial basis function network (RBFN) and general regression neural network (GRNN) and obtained results are given.
Keywords
Artificial neural network
Computer science
Multilayer perceptron
Bilinear interpolation
Feedforward neural network
Activation function
Artificial intelligence
Transfer function
Bilinear transform
Digital filter
Radial basis function
Pattern recognition (psychology)
Feature (linguistics)
Feed forward
Filter (signal processing)
Control engineering
Engineering
Computer vision
Subject Areas
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Sensor Technology and Measurement Systems
·Computer Networks and Communications ·Physical Sciences
Fuzzy Logic and Control Systems
·Artificial Intelligence ·Physical Sciences
Citations by Year
2014: 2
2016: 1
2017: 1
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