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Noise measurement

About: Noise measurement is a research topic. Over the lifetime, 19776 publications have been published within this topic receiving 308180 citations.


Papers
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Journal ArticleDOI
TL;DR: Solutions are obtained in open form for the optimum, probability-computing detector of either Gaussian signals, or known signals transmitted via scatter-paths, where the signals have been further perturbed by additive white Gaussian noise.
Abstract: Solutions are obtained in open form for the optimum, probability-computing detector of either Gaussian signals, or known signals transmitted via scatter-paths, where the signals have been further perturbed by additive white Gaussian noise. The optimum receiver operates on the received waveforms with filter-functions and biasing constants determined by pairs of inhomogeneous and homogeneous integral equations, respectively. General solution in closed form has not been obtained, but it is possible to draw a few broad conclusions, among them that the filter-functions can be physically realizable. Approximate solution (for the optimum scatter-path receiver) at small signal-to-noise ratios yields a block diagram having interesting implications. For a single-scatter-path, the optimum receiver may be interpreted as the combination of a correlator with an optimum estimator of the Wiener type. Certain special cases in which complete solution is possible have been investigated in detail, and appropriate curves are presented. The role and performance of the probability-computing detector in an optimum decision-making receiver, for the types of channels considered, is deferred to a companion paper.

124 citations

Patent
22 Apr 2010
TL;DR: In this article, active noise cancellation is combined with spectrum modification of a reproduced audio signal to enhance intelligibility, and the results show that the modified audio signal is more intelligible than the original signal.
Abstract: Active noise cancellation is combined with spectrum modification of a reproduced audio signal to enhance intelligibility.

124 citations

Proceedings ArticleDOI
25 Mar 2012
TL;DR: A cyclostationary model is proposed for the dominant component of additive non-Gaussian noise in PLC additive noise modeling, and it is found that the period in the cyclostATIONary model matched half of the period of the main powerline frequency, which is consistent with previous work in indoor PLC additives noise modeling.
Abstract: A Smart Grid intelligently monitors and controls energy flows in an electric grid. Having up-to-date distributed readings of grid conditions helps utilities efficiently scale generation up or down to meet demand. Narrowband powerline communication (PLC) systems can provide these up-to-date readings from subscribers to the local utility over existing power lines. A key challenge in PLC systems is overcoming additive non-Gaussian noise. In this paper, we propose to use a cyclostationary model for the dominant component of additive non-Gaussian noise. The key contributions are (1) fitting measured data from outdoor narrowband PLC system field trials to a cyclostationary model, and (2) developing a cyclostationary noise generation model that fits measured data. We found that the period in the cyclostationary model matched half of the period of the main powerline frequency, which is consistent with previous work in indoor PLC additive noise modeling.

124 citations

Patent
03 Jan 2007
TL;DR: In this paper, the authors describe various noise detection (and rejection) techniques for multi-touch touch-sensing devices and methods, which can include multiple sense points, each of which can be stimulated with a plurality of periodic waveforms having different frequencies to measure a touch value at the sense point.
Abstract: Multi-touch touch-sensing devices and methods are described herein. The touch sensing devices can include multiple sense points, each of which can be stimulated with a plurality of periodic waveforms having different frequencies to measure a touch value at the sense point. Noise at one or more of the frequencies can interfere with this measurement. Therefore, various noise detection (and rejection) techniques are described. The noise detection techniques include two-clean-frequency noise detection, one-clean-frequency noise rejection, and combined two-clean-frequency/one-clean-frequency noise detection. Each of the noise detection techniques can include statistical analyses of the sample values obtained. The touch sensing methods and devices can be incorporated into interfaces for a variety of electronic devices such as a desktop, tablet, notebook, and handheld computers, personal digital assistants, media players, and mobile telephones.

124 citations

Journal ArticleDOI
TL;DR: This paper describes the correction process, as well as some efficient structures for implementing it, and demonstrates the effectiveness of the technique by describing three design examples.
Abstract: For pt. I see ibid., vol. 47, no. 7, p. 621-8 (2000). This part describes a different adaptation strategy. It relies on the injection of a pseudorandom two-level test signal at the input of the first-stage quantizer, where it is added to the quantization noise. The test signal then leaks into the output signal, where it can be detected and used to control the digital noise-cancellation filter. This paper describes the correction process, as well as some efficient structures for implementing it, and demonstrates the effectiveness of the technique by describing three design examples.

124 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202377
2022162
2021495
2020525
2019489
2018755