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Enhancement of phase detection for autofocus
2017 IEEE International Conference on Image Processing (ICIP), 2017Phase detection autofocus (PDAF) is a technique that uses sensors on left and right pixels to determine the relative position between the object and the focal plane. When an image is out of focus, a shift between the assembled left and right pixels is resulted, which can be used to determine the lens movement during the autofocus process.
Chin-Cheng Chan +2 more
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Phase Detection in Acoustic Microscopy
Ultrasonic Imaging, 1990The scanning laser acoustic microscope provides a relatively simple means by which speed of sound data can be collected from biological specimens. By employing a phase detection circuit, phase-contour lines can be superimposed on acoustic micrographs and digitized for direct speed of sound calculations.
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Physics Letters A, 1995
Abstract We analyze the detection of the phase of a single mode of the field with respect to a local oscillator, with the aim of optimizing the sensitivity as a function of the radiation intensity. We found that ideal scaling of sensitivity versus input energy is achieved for the open double homodyne detector in the limit of unit quantum efficiency.
D'ARIANO, GIACOMO +2 more
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Abstract We analyze the detection of the phase of a single mode of the field with respect to a local oscillator, with the aim of optimizing the sensitivity as a function of the radiation intensity. We found that ideal scaling of sensitivity versus input energy is achieved for the open double homodyne detector in the limit of unit quantum efficiency.
D'ARIANO, GIACOMO +2 more
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Phase‐Sensitive Detection. Part II: Quadrature Phase Detection
Concepts in Magnetic Resonance, 1990AbstractThe problems associated with the use of a single phase‐sensitive detector (PSD) in an NMR receiver are reviewed. These problems can be eliminated by the use of two PSDs, arranged in parallel. The references to the PSDs are derived from a single source, but one is phase‐shifted by 90° with respect to the other.
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PATTERN RECOGNITION FOR PHASE DETECTION IN BIOPROCESSES
IFAC Proceedings Volumes, 1995Abstract Detection of growth phases during a fermentation as well as detection of sudden events is important for robust process automation and supervision. These tasks can be accepted by pattern recognition. To detect impulse shaped signals in the on-line measurements socalled matched digital filters are suitable since they can easily be designed and
Gollmer, K., Posten, C.
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SPIE Proceedings, 1989
A method is proposed to determine the amplitude and phase fluctuations of a wave front at any particular point. The only information needed is a single output of a detector whose excitation is the integrated incoming and a reference wavefields.
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A method is proposed to determine the amplitude and phase fluctuations of a wave front at any particular point. The only information needed is a single output of a detector whose excitation is the integrated incoming and a reference wavefields.
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Digital quadrature phase-shifter for phase detection†
International Journal of Electronics, 1977A digital phase shifter implemented by applications of logic exclusive-OR, J-K master-sieve flip-flop, and one-ahot monostable multivibrator gates is able to shift the phase of the reference signal from 0° to 90° continuously without dividing the input frequency by two.
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Detection of characteristic phases using FFT's
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1992Maximal-length linear recursive sequences (M-sequences) over GF(2) are used for a variety of purposes in communications, test, and other signals. An M-sequence contains a unique characteristic phase at which the sequence is invariant under a decimation by two. This point may be detected using an algorithm whose principal computation is the fast Fourier
Regina Kirkman, Bart F. Rice
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Physiological detection of interaural phase differences
The Journal of the Acoustical Society of America, 2007Auditory evoked cortical responses to changes in the interaural phase difference (IPD) were recorded using magnetoencephalography (MEG). Twelve normal-hearing young adults were tested with amplitude-modulated tones with carrier frequencies of 500, 1000, 1250, and 1500Hz. The onset of the stimuli evoked P1m-N1m-P2m cortical responses, as did the changes
Bernhard, Ross +2 more
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Dynamic detection and visualization of software phases
ACM SIGSOFT Software Engineering Notes, 2005Software executes in phases. JIVE is a software visualization tool that provides a high-level view of what is occurring in a Java system as it happens, offering information about both what classes are executing, what classes are being allocated, synchronizations, and what are the threads and what state each thread is in.
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