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Optimal receiver for coherent signals

Conference on Lasers and Electro-Optics, 2016
We propose a practical receiver scheme for discriminating coherent signals with the error rate unconditionally below the standard quantum limit (or shot noise). For BPSK signals the error rate goes down to the Helstrom bound.
Sych, D., Leuchs, G.
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A unifying view of coherence in signal processing

Signal Processing, 1992
Abstract The concept of coherence is fundamental and quite important in all fields dealing with fluctuating quantities. Although there is a commonality among the many uses of the term coherence, the precise meaning of this term seems to vary from one field to another and even within some fields.
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Advanced digital signal processing for coherent and non-coherent optical transmission

2015 17th International Conference on Transparent Optical Networks (ICTON), 2015
Digital signal processors (DSP) are recently introduced in coherent long-haul optical transmission systems as well as in non-coherent access networks. This contribution reviews a number of specific signal processing algorithms that are useful in such systems. We focus on advanced equalisers for linear and nonlinear distortions. We examine the Tomlinson-
Werner Rosenkranz   +2 more
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Use of coherent signal dispersion for signal source association

2022
A signal source association method and receiver. A receiver can be used to detect a plurality of signals transmitted from a plurality of transmission sources. The receiver can determine amplitude and phase information for a plurality of frequency components of each of the plurality of signals.
Mueller, Jeffrey G.   +3 more
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Coherent color flow imaging: Velocity estimation using coherent signals

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 2017
We present a modification to time-delay and phase-shift estimators used in ultrasound imaging methods. In this modification, we selectively eliminate covariance terms from the estimator corresponding to channel signal pairs that have low coherence. We demonstrate this modification in simulation and phantom experiments in the application of color flow ...
Jeremy J. Dahl, You Li
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Coherent spectrometry with noise signals

Journal of Magnetic Resonance (1969), 1970
Abstract Coherent spectrometry with noise signals is described as Fourier transform spectrometry with deterministic signals which are samples from a stochastic process. Input-output relations needed for the processing of measured signal records are derived from the theories of linear physical systems and of sampled functions.
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Coherent Transmission of Signals in the Ocean

The Journal of the Acoustical Society of America, 1974
The purpose is to review the coherent signal transmission experiments and theory that were associated with Columbia University's Hudson Laboratory. They are (1) continuous wave transmission (Berman, Clay, Guthrie, Frosch, Poss, Shaffer, Sherry, and Tolstoy); (2) reproducible signal transmissions (Clay, Parvulescu, and Williams); and (3) theory of ...
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Coherence sensing and signal processing

Frontiers in Optics 2004/Laser Science XXII/Diffractive Optics and Micro-Optics/Optical Fabrication and Testing, 2004
Coherence measurements enable sources of radiation to be distinguished, rather than just measure power as in conventional incoherent imaging. Instruments that sample the partially coherent field are discussed with numerical algorithms to separate the fields from sources and achieve infinite depth-of-field imaging.
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Signaling causal coherence relations

Discourse Studies, 2013
Signaling of relations is an open question in rhetorical structure theory (RST). Discourse markers are the unmistakable signals of a relation. However, it may be argued that all relations – and not only those involving discourse markers – are signaled in some way.
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Detection of coherent and noncoherent signals via the stochastic signals model

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
A novel method for detection of coherent and noncoherent signals, based on the application of Rissanen's minimum description length principle for model selection to the stochastic signals model, is presented. In this method, the detection and localization are done simultaneously, with the location estimator coinciding with the maximum likelihood ...
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