Calculating frequency‐domain data by time‐domain methods | Zendy

Dehler M. | Zendy; Dohlus M. | Zendy; Weiland T. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Calculating frequency‐domain data by time‐domain methods

Author(s) -

Dehler M.,

Dohlus M.,

Weiland T.

Publication year - 1993

Publication title -

international journal of numerical modelling: electronic networks, devices and fields

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.249

H-Index - 30

eISSN - 1099-1204

pISSN - 0894-3370

DOI - 10.1002/jnm.1660060104

Subject(s) - frequency domain , fourier transform , convolution (computer science) , time domain , mathematical analysis , amplitude , mathematics , a priori and a posteriori , harmonic , monochromatic color , field (mathematics) , domain (mathematical analysis) , boundary (topology) , filter (signal processing) , algorithm , computer science , physics , optics , acoustics , philosophy , epistemology , machine learning , artificial neural network , pure mathematics , computer vision

We show the derivation of parameters in the frequency domain from time‐domain data. Far‐field characteristics are obtained by a convolution formula with the harmonic field amplitudes, which are obtained via a Fourier transform or by sampling. The electric field of filter ports is expanded into the discrete eigenmodes. By this method, a monochromatic exact open boundary can be formulated and the fields divided into the incident and the reflected part. For wide band operation an a posteriori error correction scheme is presented.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research