Acoustooptic signal processing and computing

Lee, J.N.; Vanderugt, A.

doi:10.1109/5.40667

Cited by 48 publications

(17 citation statements)

References 85 publications

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“…Hence, applying some means, one can filter the obstacle; perhaps, the filtering operation may introduce noise, but it is the subject of the separate consideration. Expression (1) shows that the amount of transmitted information depends on both amount of resolvable spots and on amount of recognizable gray scale levels. We have also found in this work that amount of gray scale levels niinfluences the number of the resolvable spots by the certain law.…”

Section: Discussionmentioning

confidence: 99%

“…It describes amount of information which may be simultaneously contained in the device. According to Shannon's theory of information,4 it may be expressed as I = Nlog2(m + I), (1) where N is the number of resolvable spots at the device output, and in -number of recognizable gray scale levels. Value ni + 1 under the logarithm sign means that besides in values of the signal which differ from zero, we take into consideration zero value of the signal (i.e.…”

Section: Information Characteristics Of Aod and Their Connection Withmentioning

confidence: 99%

See 1 more Smart Citation

<title>Gray-scale-level transmission by acousto-optical devices</title>

Gurevich¹,

Andreyev²,

Burov³

et al. 1997

SPIE Proceedings

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Acousto-optical devices which are intended for information transmission and conversion, may process both binary and analog signals. The theory which had been developed earlier for transmission of binary signals, has been expanded to the processing of analog signals. The system of resolving power and frequency bandwidth criteria has been studied in details, proceeding from the need to transmit the necessary amount of gray scale levels with the necessary reliability. It has also been shown that the basic equation of acousto-optics in which number of resolvable spots is determined as time-bandwidth product, must be modified for the case of gray scale transmission. The experimental results illustrating the proposed approach to basic parameters of acousto-optical devices, have been described and discussed.

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Section: Discussionmentioning

confidence: 99%

Section: Information Characteristics Of Aod and Their Connection Withmentioning

confidence: 99%

<title>Gray-scale-level transmission by acousto-optical devices</title>

Gurevich¹,

Andreyev²,

Burov³

et al. 1997

SPIE Proceedings

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“…2. 1,5 We assume that the electronic signal is in the sample-and-hold form, 6 and that the amplitude is modulated onto a carrier frequency much greater than the bandwidth of the baseband signal to be filtered. We know that the amplitude of the zero-order (E 0 ) and the first-order (E 1 ) Bragg-diffracted light beams at a given z can be expressed by E 0 ϭE inc cos ␣͑z͒ and E 1 ϭϪ jE inc sin ␣͑z͒, respectively.…”

Section: Stability Analysismentioning

confidence: 99%

“…1 In this paper we discuss how an AO cell can be used to build an infinite-impulse-response ͑IIR͒ filter for line enhancement or notch filtering. 2 Line enhancement is used for detecting a sinusoidal signal in the presence of wideband noise, and notch filtering is popular for removing sinusoidal interference from a broadband signal.…”

Section: Introductionmentioning

confidence: 99%

Acousto-optic infinite-impulse-response digital filters for line enhancement or notch filtering

Ghosh

Paparao

1997

Opt. Eng

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A compact design of an acousto-optic high-speed infiniteimpulse-response filter for line enhancement or notch filtering is introduced. Such filters can find applications in communication systems for signal-processing tasks such as carrier and bit recovery, signal prefiltering for noise reduction, interference or jammer cancellation, and channel equalization. Stability of such filters is an important concern because of the feedback and the nonlinearity in the acousto-optic cell response. Stability conditions are derived. Theoretical analysis and numerical experiments show that an acousto-optic-cell-based infinite-impulseresponse filter can enhance the signal-to-noise ratio at the filter output by 15 to 30 dB or more, depending on the design. © 1997 Society of PhotoOptical Instrumentation Engineers. [S0091-3286(97)01009-X] Subject terms: acousto-optic high-speed infinite-impulse-response filter; line enhancement; notch filtering; signal processing.

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“…The prototype systems operates at one million cycles per second and has a potential speed of one billion switching operations per second. Hughes Research Labs have developed an acousto-optic [Lee and Vanderlugt 1989] matrix processor referred to as PRIMO (Programmable Real-time Incoherent Matrix Optical Processor), [Owechko and Softer 1989]. It can perform 10 billion multiplications and additions/s and occupies a small volume.…”

Section: Optical Computingmentioning

confidence: 99%

Multidimensional processing: Nonlinear optics and computing

Fiddy

1991

Multidim Syst Sign Process

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Abstract. The purpose of this paper is to overview some of the trends and directions in computing, as pertbrmed by optical hardware, resulting from the demands made by mtfltidimensional signal processing. Optical information processing or opticaJ computing is a vast field and some of the more significant issues are discussed here. We discuss future developments and architectural consequences for such potentially highly parallel and interconnected processing systems. Particular emphasis is placed on energy and speed considerations, associated with the use of nonlinear optical materials in optical systems and devices.

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Acoustooptic signal processing and computing

Cited by 48 publications

References 85 publications

<title>Gray-scale-level transmission by acousto-optical devices</title>

<title>Gray-scale-level transmission by acousto-optical devices</title>

Acousto-optic infinite-impulse-response digital filters for line enhancement or notch filtering

Multidimensional processing: Nonlinear optics and computing

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