Adaptive-additive algorithm
In the studies of Fourier optics, sound synthesis, stellar interferometry, optical tweezers, and diffractive optical elements (DOEs) it is often important to know the spatial frequency phase of an observed wave source. In order to reconstruct this phase the Adaptive-Additive Algorithm (or AA algorithm), which derives from a group of adaptive (input-output) algorithms, can be used. The AA algorithm is an iterative algorithm that utilizes the Fourier Transform to calculate an unknown part of a propagating wave, normally the spatial frequency phase (k space). This can be done when given the phase’s known counterparts, usually an observed amplitude (position space) and an assumed starting amplitude (k space). To find the correct phase the algorithm uses error conversion, or the error between t
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- enIn the studies of Fourier optics, sound synthesis, stellar interferometry, optical tweezers, and diffractive optical elements (DOEs) it is often important to know the spatial frequency phase of an observed wave source. In order to reconstruct this phase the Adaptive-Additive Algorithm (or AA algorithm), which derives from a group of adaptive (input-output) algorithms, can be used. The AA algorithm is an iterative algorithm that utilizes the Fourier Transform to calculate an unknown part of a propagating wave, normally the spatial frequency phase (k space). This can be done when given the phase’s known counterparts, usually an observed amplitude (position space) and an assumed starting amplitude (k space). To find the correct phase the algorithm uses error conversion, or the error between t
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- enIn the studies of Fourier optics, sound synthesis, stellar interferometry, optical tweezers, and diffractive optical elements (DOEs) it is often important to know the spatial frequency phase of an observed wave source. In order to reconstruct this phase the Adaptive-Additive Algorithm (or AA algorithm), which derives from a group of adaptive (input-output) algorithms, can be used. The AA algorithm is an iterative algorithm that utilizes the Fourier Transform to calculate an unknown part of a propagating wave, normally the spatial frequency phase (k space). This can be done when given the phase’s known counterparts, usually an observed amplitude (position space) and an assumed starting amplitude (k space). To find the correct phase the algorithm uses error conversion, or the error between the desired and the theoretical intensities.
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- Adaptive-additive algorithm
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- enAdaptive-additive algorithm
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- hillslab.umd.edu/
- web.archive.org/web/20070609193556/http:/www-ccrma.stanford.edu/~roebel/addsyn/index.html
- physics.nyu.edu/grierlab/cgh2b/node6.html
- www.physics.nyu.edu/~dg86/cgh2b/node6.html
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- Algorithm
- Amplitude
- Category:Digital signal processing
- Category:Physical optics
- Fourier optics
- Fourier Optics
- Fourier transform
- Fourier Transform
- Gerchberg–Saxton algorithm
- Holography
- Intensity (physics)
- Interferometry
- Inverse Fourier transform
- Iterative
- Optical tweezers
- Phase (waves)
- Soft matter
- Sound synthesis
- Spatial frequency
- Stellar astronomy
- Synthesizer
- SameAs
- 4LTrj
- Adaptive-additive algorithm
- m.02qv0r6
- Q4680696
- Subject
- Category:Digital signal processing
- Category:Physical optics
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- Adaptive-additive algorithm?oldid=1123782066&ns=0
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- Wikipage revision ID
- 1123782066
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