Topic
Impulse noise
About: Impulse noise is a research topic. Over the lifetime, 4816 publications have been published within this topic receiving 63970 citations.
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TL;DR: Extensive measurements were taken at three hospitals and three clinics in three major urban areas across the United States and empirical models are provided for the amplitude, interarrival time, and duration distributions of observed impulsive noise events.
Abstract: This paper presents an experimental study of impulsive noise in urban hospitals and clinics. A receiver was designed to resolve impulsive noise bursts as short as 2 /spl mu/s in duration in the 450-MHz band. Extensive measurements were taken at three hospitals and three clinics in three major urban areas across the United States and empirical models are provided for the amplitude, interarrival time, and duration distributions of observed impulsive noise events. This work may be used in modeling the noise found in indoor wireless communication channels.
59 citations
TL;DR: Experiments on a single-walled carbon nanotube transistor confirmed that a threshold exhibited stochastic resonance (SR) for finite-variance and infinite-Variance noise: small amounts of noise enhanced the nanotubes detector's performance.
Abstract: Electrical noise can help pulse-train signal detection at the nanolevel. Experiments on a single-walled carbon nanotube transistor confirmed that a threshold exhibited stochastic resonance (SR) for finite-variance and infinite-variance noise: small amounts of noise enhanced the nanotube detector's performance. The experiments used a carbon nanotube field-effect transistor to detect noisy subthreshold electrical signals. Two new SR hypothesis tests in the Appendix also confirmed the SR effect in the nanotube transistor. Three measures of detector performance showed the SR effect: Shannon's mutual information, the normalized correlation measure, and an inverted bit error rate compared the input and output discrete-time random sequences. The nanotube detector had a threshold-like input-output characteristic in its gate effect. It produced little current for subthreshold digital input voltages that fed the transistor's gate. Three types of synchronized white noise corrupted the subthreshold Bernoulli sequences that fed the detector. The Gaussian, the uniform, and the impulsive Cauchy noise combined with the random input voltage sequences to help the detector produce random output current sequences. The experiments observed the SR effect by measuring how well an output sequence matched its input sequence. Shannon's mutual information used histograms to estimate the probability densities and computed the entropies. The correlation measure was a scalar inner product of the input and output sequences. The inverted bit error rate computed how often the bits matched between the input and output sequences. The observed nanotube SR effect was robust: it persisted even when infinite-variance Cauchy noise corrupted the signal stream. Such noise-enhanced signal processing at the nanolevel promises applications to signal detection in wideband communication systems and biological and artificial neural networks
59 citations
TL;DR: In first proposed algorithm, the reference and the error signals are thresholded before being used in the update equation of FxLMP algorithm, and a modified normalized step size is proposed to improve the robustness of the Fx LMP algorithm.
58 citations
TL;DR: A thresholding scheme is introduced to enhance the detail preserving abilities of the proposed noise attenuation scheme and enable reliable detection of impulses and its output switches between the vector median and the original, undisturbed pixel.
58 citations
TL;DR: Simulation results show that a rank-based detector is able to approach the performance of the computationally intensive LO and LOR detectors across a range of values for for /spl alpha/.
Abstract: Impulsive interference poses a challenge to conventional detection techniques. The /spl alpha/-stable distribution, while sometimes providing a good model for impulsive interference, has proven to be no exception. Some of these difficulties have motivated the investigation and development of computationally tractable, locally suboptimum correlation, and rank correlation detectors for signals embedded in impulsive interference modeled as a symmetric /spl alpha/-stable process. The performance of some of these detectors is evaluated and compared with that of the locally optimum (LO), locally optimum rank (LOR), matched filter, and Cauchy detectors. Simulation results show that a rank-based detector is able to approach the performance of the computationally intensive LO and LOR detectors across a range of values for for /spl alpha/.
57 citations