Topic
Noise measurement
About: Noise measurement is a research topic. Over the lifetime, 19776 publications have been published within this topic receiving 308180 citations.
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Papers
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TL;DR: It is shown that the artificial neural networks can be a useful tool for the prediction of noise with sufficient accuracy and clearly show that ANN approach is superior in traffic noise level prediction to any other statistical method.
71 citations
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TL;DR: In this article, an on-chip sampling and measurement technique for accurate (<15 ps) evaluation of interconnect delays and coupled noise is described. But the results provide a comprehensive evaluation of the interconnect delay and noise in a 1.8 V, 0.25 µ/m process.
Abstract: This paper describes an on-chip sampling and measurement technique for accurate (<15 ps) evaluation of interconnect delays and coupled noise. We have used this nonintrusive time-domain technique to extract in situ driver/receiver waveforms, propagation delays, and coupled noise in 120 interconnect structures. The effects studied include multiple AC returns through active devices, gridded planes on adjacent layers, via impedances, variable driver impedances, and noise in bus structures. The results provide a comprehensive evaluation of interconnect delays and noise in a 1.8 V, 0.25 /spl mu/m process.
71 citations
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TL;DR: In this paper, the first quanta image sensor with photon counting capability is demonstrated, and the lowvoltage device demonstrates less than 0.3e-r.m.s. read noise on a single read out without the use of avalanche gain and single-electron signal quantization.
Abstract: The first quanta image sensor jot with photon counting capability is demonstrated. The low-voltage device demonstrates less than 0.3e- r.m.s. read noise on a single read out without the use of avalanche gain and single-electron signal quantization is observed. A new method for determining read noise and conversion gain is also introduced.
71 citations
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TL;DR: The cell-averaging (CA) constant false-alarm rate threshold setting strategy is analyzed and the numerical results show that the CA strategy offers the desired false-Alarm probability.
Abstract: We analyze the impact of a uniform quantizer on the false-alarm probability of a total power radiometer. Different possibilities to set the detection threshold are discussed. The main emphasis is on methods that use the estimated noise level. In particular, we analyze the cell-averaging (CA) constant false-alarm rate threshold setting strategy. The numerical results show that the CA strategy offers the desired false-alarm probability.
71 citations
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TL;DR: This work addresses a smoothing finite impulse response (FIR) filtering solution for deterministic discrete-time signals represented in state space with finite-degree polynomials and concludes that the best linear fit is provided for a two-state clock error model.
Abstract: We address a smoothing finite impulse response (FIR) filtering solution for deterministic discrete-time signals represented in state space with finite-degree polynomials. The optimal smoothing FIR filter is derived in an exact matrix form requiring the initial state and the measurement noise covariance function. The relevant unbiased solution is represented both in the matrix and polynomial forms that do not involve any knowledge about measurement noise and initial state. The unique l-degree unbiased gain and the noise power gain are derived for a general case. The widely used low-degree gains are investigated in detail. As an example, the best linear fit is provided for a two-state clock error model.
71 citations