High contrast pattern reconstructions using a phase-seeded point CGH method

McWilliam, Richard; Williams, Gavin; Cowling, Joshua; Seed, Luke; Purvis, Alan

doi:10.1364/ao.55.001701

All Outputs (4)

A Combined Fault Detection and Discrimination Strategy for Resource-Sensitive Platforms (2016)
Presentation / Conference Contribution
McWilliam, R., Schiefer, P., & Purvis, A. (2016). A Combined Fault Detection and Discrimination Strategy for Resource-Sensitive Platforms. In C. Silvano, W. Stechele, & S. Wong (Eds.),

Modelling the Positional and Orientation Sensitivity of Proximity Sensors. (2016)
Presentation / Conference Contribution
McWilliam, R., Khan, S., & Purvis, A. (2016). Modelling the Positional and Orientation Sensitivity of Proximity Sensors. In D. Al-Dabass, A. Orsoni, R. Cant, & G. Jenkins (Eds.), 2016 UKSim-AMSS 18th International Conference on Computer Modelling and Simulation (UKSim): Cambridge, United Kingdom, 6 - 8 April 2016 ; Proceedings (355-360). https://doi.org/10.1109/uksim.2016.11

This paper presents an analysis of robust proximity sensor interfaces for Industrial Internet of Things applications. A Model is presented with the aim of maximizing the range and freedom of orientation of passive sensing and communications devices i... Read More about Modelling the Positional and Orientation Sensitivity of Proximity Sensors..

Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications (2016)
Journal Article
McWilliam, R., Purvis, A., & Khan, S. (2016). Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications. International journal of simulation: systems, science & technology, 17(35), Article 23.1

As the Internet of Things (IoT) sector continually expands there is a growing abstraction between physical objects and the data associated with them. At the same time, emerging Industrial-IoT applications rely upon diverse and robust hardware sensing... Read More about Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications.

High contrast pattern reconstructions using a phase-seeded point CGH method (2016)
Journal Article
McWilliam, R., Williams, G., Cowling, J., Seed, L., & Purvis, A. (2016). High contrast pattern reconstructions using a phase-seeded point CGH method. Applied Optics, 55(7), 1701-1710. https://doi.org/10.1364/ao.55.001701

A major challenge encountered in digital holography applications is the need to synthesize computer-generated holograms (CGHs) that are realizable as phase-only elements while also delivering high quality reconstruction. This trade-off is particularl... Read More about High contrast pattern reconstructions using a phase-seeded point CGH method.