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The existence of combined electric and magnetic fields that propagate through space as electromagnetic (EM) waves is the most significant prediction of Maxwell's equations. As Maxwell's equations hold in free space, the predicted electromagnetic waves do not require a medium for their propagation. An EM wave comprises an electric field, defined as the force per charge on a stationary charge, and a magnetic field, which is the force per charge on a moving charge.
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Related Experiment Video

Updated: Mar 17, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

Phaseless computational imaging with a radiating metasurface.

Thomas Fromenteze, Xiaojun Liu, Michael Boyarsky

|July 28, 2016

Summary

This summary is machine-generated.

This study introduces a novel 3D computational imaging system using only intensity measurements, simplifying hardware. This phaseless approach demonstrates high fidelity comparable to traditional methods, advancing microwave imaging techniques.

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Related Experiment Videos

Last Updated: Mar 17, 2026

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Published on: June 7, 2019

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Published on: December 27, 2012

Area of Science:

Physics
Electrical Engineering
Computer Science

Background:

Computational imaging simplifies hardware architectures across the electromagnetic spectrum.
Frequency-diverse metasurfaces offer a low-cost alternative to conventional coherent imaging.
Measuring complex-valued signals, especially at sub-centimeter wavelengths, presents significant challenges.

Purpose of the Study:

To investigate computational imaging under the relaxed constraint of intensity-only measurements.
To develop and demonstrate a novel 3D imaging system based on phaseless and compressed measurements.
To validate the fidelity of phaseless computational imaging against complex-valued measurements.

Main Methods:

Conceiving a novel 3D imaging system utilizing intensity-only measurements.
Leveraging advances in phase retrieval algorithms for signal reconstruction.
Experimental demonstration and validation in the microwave frequency range.

Main Results:

Successful implementation of a phaseless computational imaging system.
Demonstration of 3D imaging capabilities using intensity data.
Comparison showing comparable image fidelity between phaseless and complex-valued measurements.

Conclusions:

Phaseless computational imaging is a viable and effective approach, simplifying hardware requirements.
The developed system offers a practical alternative for microwave imaging applications.
Intensity-only measurements can achieve high-fidelity 3D reconstructions, overcoming previous limitations.