Transient electromagnetic field reconstruction from sets of non-periodic oscillations

W. Feilner; Z. Shaw; C. Lynn; James Dickens; Andreas Neuber

Transient electromagnetic field reconstruction from sets of non-periodic oscillations

W. Feilner, Z. Shaw, C. Lynn, James Dickens, Andreas Neuber

Electrical and Computer Engineering

Research output: Contribution to conference › Paper

Abstract

© 2016 IEEE. Arbitrary transient electric field shapes are generated in free space utilizing a set of transient signals with proper shape, amplitude, and time shift. Akin to wavelets in signal processing, brief, non-periodic oscillations are superimposed at a pre-selected location in space to effect destructive and constructive interference. With a properly chosen signal set, an entirely different frequency or shape is generated. Two methods have been employed to find optimum signal sets, the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO). While the DWT approach dictates constant time step and rectangular matching between wavelets, PSO is not restricted in this manner, allowing for more flexibility in choosing amplitudes and signal delays.

Original language	English
State	Published - Aug 17 2017

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Feilner, W., Shaw, Z., Lynn, C., Dickens, J., & Neuber, A. (2017). Transient electromagnetic field reconstruction from sets of non-periodic oscillations.

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title = "Transient electromagnetic field reconstruction from sets of non-periodic oscillations",

abstract = "{\textcopyright} 2016 IEEE. Arbitrary transient electric field shapes are generated in free space utilizing a set of transient signals with proper shape, amplitude, and time shift. Akin to wavelets in signal processing, brief, non-periodic oscillations are superimposed at a pre-selected location in space to effect destructive and constructive interference. With a properly chosen signal set, an entirely different frequency or shape is generated. Two methods have been employed to find optimum signal sets, the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO). While the DWT approach dictates constant time step and rectangular matching between wavelets, PSO is not restricted in this manner, allowing for more flexibility in choosing amplitudes and signal delays.",

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T1 - Transient electromagnetic field reconstruction from sets of non-periodic oscillations

AU - Feilner, W.

AU - Shaw, Z.

AU - Lynn, C.

AU - Dickens, James

AU - Neuber, Andreas

PY - 2017/8/17

Y1 - 2017/8/17

N2 - © 2016 IEEE. Arbitrary transient electric field shapes are generated in free space utilizing a set of transient signals with proper shape, amplitude, and time shift. Akin to wavelets in signal processing, brief, non-periodic oscillations are superimposed at a pre-selected location in space to effect destructive and constructive interference. With a properly chosen signal set, an entirely different frequency or shape is generated. Two methods have been employed to find optimum signal sets, the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO). While the DWT approach dictates constant time step and rectangular matching between wavelets, PSO is not restricted in this manner, allowing for more flexibility in choosing amplitudes and signal delays.

AB - © 2016 IEEE. Arbitrary transient electric field shapes are generated in free space utilizing a set of transient signals with proper shape, amplitude, and time shift. Akin to wavelets in signal processing, brief, non-periodic oscillations are superimposed at a pre-selected location in space to effect destructive and constructive interference. With a properly chosen signal set, an entirely different frequency or shape is generated. Two methods have been employed to find optimum signal sets, the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO). While the DWT approach dictates constant time step and rectangular matching between wavelets, PSO is not restricted in this manner, allowing for more flexibility in choosing amplitudes and signal delays.

M3 - Paper

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