Matched filtering of ultrashort pulses

Vasilyev, Michael

doi:10.1126/science.aad7804

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Finally, we note that although most analysis of nondeterministic amplifiers has focused on quantum applications and limits, there are applications at the other end of the spectrum in classical optics. The use of immaculate-amplification ideas seems to be gaining traction in signal-processing applications [35,36].…”

Section: Discussionmentioning

confidence: 99%

Models of reduced-noise, probabilistic linear amplifiers

et al. 2016

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We construct an amplifier that interpolates between a nondeterministic, immaculate linear amplifier and a deterministic, ideal linear amplifier and beyond to nonideal linear amplifiers. The construction involves cascading an immaculate linear amplifier that has amplitude gain g 1 with a (possibly) nonideal linear amplifier that has gain g 2 . With respect to normally ordered moments, the device has output noise μ 2 (G 2 − 1) where G = g 1 g 2 is the overall amplitude gain and μ 2 is a noise parameter. When μ 2 1, our devices realize ideal (μ 2 = 1) and nonideal (μ 2 > 1) linear amplifiers. When 0 μ 2 < 1, these devices work effectively only over a restricted region of phase space and with some subunity success probability p . We investigate the performance of our μ 2 amplifiers in terms of a gain-corrected probability-fidelity product and the ratio of input to output signal-to-noise ratios corrected for success probability.

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Section: Discussionmentioning

confidence: 99%

Models of reduced-noise, probabilistic linear amplifiers

et al. 2016

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“…Matched filtering is useful for improving the SNR when the form of the signal is known. It detects or extracts a known signal with high sensitivity that has been contaminated by noise [59][60][61]. To implement the matched filter, we convolve a Lorentzian distribution function,…”

Section: Experimental Methodsmentioning

confidence: 99%

Rydberg-atom based radio-frequency electrometry using frequency modulation spectroscopy in room temperature vapor cells

Kumar¹,

Fan²,

Kübler³

et al. 2017

Opt. Express

133

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Rydberg atom-based electrometry enables traceable electric field measurements with high sensitivity over a large frequency range, from gigahertz to terahertz. Such measurements are particularly useful for the calibration of radio frequency and terahertz devices, as well as other applications like near field imaging of electric fields. We utilize frequency modulated spectroscopy with active control of residual amplitude modulation to improve the signal to noise ratio of the optical readout of Rydberg atom-based radio frequency electrometry.Matched filtering of the signal is also implemented. Although we have reached similarly, high sensitivity with other read-out methods, frequency modulated spectroscopy is advantageous because it is well-suited for building a compact, portable sensor. In the current experiment, ∼3 µV cm −1 Hz −1/2 sensitivity is achieved and is found to be photon shot noise limited.

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Full recovery of ultrafast waveforms lost under noise

et al. 2021

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The ability to detect ultrafast waveforms arising from randomly occurring events is essential to such diverse fields as bioimaging, spectroscopy, radio-astronomy, sensing and telecommunications. However, noise remains a significant challenge to recover the information carried by such waveforms, which are often too weak for detection. The key issue is that most of the undesired noise is contained within the broad frequency band of the ultrafast waveform, such that it cannot be alleviated through conventional methods. In spite of intensive research efforts, no technique can retrieve the complete description of a noise-dominated ultrafast waveform of unknown parameters. Here, we propose a signal denoising concept involving passive enhancement of the coherent content of the signal frequency spectrum, which enables the full recovery of arbitrary ultrafast waveforms buried under noise, in a real-time and single-shot fashion. We experimentally demonstrate the retrieval of picosecond-resolution waveforms that are over an order of magnitude weaker than the in-band noise. By granting access to previously undetectable information, this concept shows promise for advancing various fields dealing with weak or noise-dominated broadband waveforms.

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Matched filtering of ultrashort pulses

Abstract: Optical signal processing can help reduce noise in detection of ultrafast electrical pulses [Also see Report by Ataie et al. ]

Cited by 5 publications

References 12 publications

Models of reduced-noise, probabilistic linear amplifiers

Models of reduced-noise, probabilistic linear amplifiers

Rydberg-atom based radio-frequency electrometry using frequency modulation spectroscopy in room temperature vapor cells

Full recovery of ultrafast waveforms lost under noise

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