Two-dimensional optical processing using one-dimensional input devices

Psaltis, Demetri

doi:10.1109/proc.1984.12952

Cited by 40 publications

(7 citation statements)

References 46 publications

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“…Learning dynamics are used to evolve the interconnection strength pattern as a succession of small perturbations. Because degenerate fourwavelet-mixing wavefront conjugate mirrors, as described above, provide retroreflection and optical tracking novelty filters, Theorem 7.1 is at tile basis of neural network models implemented by local neural networks of reconfigurable holographic optical interconnect patterns in optical neurocomputer architectures [2,3,4,5,7,79,81,82,83,124,126,127,129,128,130,131,142,145,144,143,146]. In the long term, real-time holography in PRCs appears to be the most appealing reconfigurable optical iph-rconnection technique.…”

Section: Optical Wavefront Conjugationmentioning

confidence: 99%

“…On the simplest level, the information is recorded and retrieved from an erasable magnetooptic disk by optical techniques. Higher-level building-blocks are twodimensional arrays of coherent optical processors [2,3,4,5,7,126,127,129,128,142,145,144,143,146] for the analog implementation of neural network models by holographic optical interconnects, and neural network analog VLSI chips. For instance, the analog silicon models of the orientationselective retina for pattern recognition [1,115,117], and the analog electronic cochlea for auditory localization [92, 115,116] belong to this category.…”

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confidence: 99%

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Probabilistic and Stochastic Methods in Analysis, with Applications

Byrnes¹

1992

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Section: Optical Wavefront Conjugationmentioning

confidence: 99%

mentioning

confidence: 99%

Probabilistic and Stochastic Methods in Analysis, with Applications

Byrnes¹

1992

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“…When the time modulated reference signal given by equation (4) is incident on the cell, the light intensity in the +1 diffracted order is given by: I +1(t +r) = IR(t) T +1(t +r) (7) Time integration on the detector produces six cross -correlation products: …”

Section: Description Of the Architecturementioning

confidence: 99%

“…) -IR (t) T+1 (t+r) (7) Time integration on the detector produces six cross-correlation products: The first terms in both equations are input signal independent, (i.e. they are both constant with respect to the input signal) therefore both can be calculated a priori.…”

Section: -2omentioning

confidence: 99%

Implementing The Difference-Squared Error Algorithm Using An Acousto-Optic Processor

Molley

1989

SPIE Proceedings

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Real -time electronic and optical pattern recognition systems use correlation as a means for discriminating objects of interest from unwanted objects and residual clutter in an input scene. However, correlation is not a good technique for certain gray -level input images particularly when the background has a high average value such as encountered in automatic target recognition environments.A better algorithm for these types of environments involves computing the difference -squared error between a reference template and the input image. This algorithm has been used for many years for recognizing gray -level images; however, because of the large number of bits of precision required to perform these computations, the algorithm is difficult to implement in real -time using an electronic embedded computer where small size and low power are at a premium.This paper describes a method for implementing the difference -squared algorithm on an acousto -optic time -integrating correlator. This implementation can accommodate the high dynamic range requirement which is inherent in gray -scale recognition problems. The acousto -optic correlator architecture is a natural fit for this implementation because of its capability to perform two -dimensional processing utilizing relatively mature one -dimensional input devices. Furthermore, since this architecture uses an electronically stored reference, rotational and scale variances can be accommodated by rapidly searching through a library of templates, as first described by Psaltis2. The ability to implement the difference -squared algorithm in an acousto -optic correlator architecture has the potential for solving many practical target recognition problems where real -time discrimination of gray -level objects using a compact, low power processor is required.

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“…In particular, we propose the application of acousto-optic techniques for the development of a highly productive radio-wave spectrometer with a bandwidth of analysis lying in the gigahertz frequency range together with a spectral resolution belonging to the kilohertz frequency range to work at 1.3 mm (230 GHz). The above-mentioned spectral resolution and frequency bandwidth can be evidently realized by the triple product acousto-optical processor exploiting a space-and time integrating [22]. Such an approach provides the resolution power of about 10 5 -10…”

mentioning

confidence: 99%

High-Resolution Broadband Millimeter-Wave Astrophysical Spectrometer with Triple Product Acousto-Optical Processor

Dagostino¹,

Shcherbakov²,

Arellanes³

et al. 2013

IJAA

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An advanced conceptual design of a high-bit-rate triple product acousto-optical processor is presented that can be applied in a number of astrophysical problems. We briefly describe the Large Millimeter Telescope as one of the potential observational infrastructures where the acousto-optical spectrometer can be successfully used. A summary on the study of molecular gas in relatively old (age > 10 Myr) disks around main sequence stars is provided. We have identified this as one of the science cases in which the proposed processor can have a big impact. Then we put forward triple product acousto-optical processor is able to realize algorithm of the space-and-time integrating, which is desirable for a wideband spectrum analysis of radio-wave signals with an improved resolution providing the resolution power of about 10 5 -10 6 . It includes 1D-acousto-optic cells as the input devices for a 2D-optical data processing. The importance of this algorithm is based on exploiting the chirp Z-transform technique providing a 2D-Fourier transform of the input signals. The system produces the folded spectrum, accumulating advantages of both space and time integrating. Its frequency bandwidth is practically equal to the bandwidth of transducers inherent in acousto-optical cells. Then, similar processor is able to provide really high frequency resolution, which is practically equal to the reciprocal of the CCD-matrix photo-detector integration time. Here, the current state of developing the triple product acousto-optical processor in frames of the astrophysical instrumentation is shortly discussed.

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Two-dimensional optical processing using one-dimensional input devices

Cited by 40 publications

References 46 publications

Probabilistic and Stochastic Methods in Analysis, with Applications

Probabilistic and Stochastic Methods in Analysis, with Applications

Implementing The Difference-Squared Error Algorithm Using An Acousto-Optic Processor

High-Resolution Broadband Millimeter-Wave Astrophysical Spectrometer with Triple Product Acousto-Optical Processor

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