Journal ArticleDOI
Wavelet based denoising technique for liquid level system
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TLDR
In this paper, the authors employed wavelet based noise removal technique to remove measurement noise from differential pressure transmitter (DPT) output indicating the level of a process tank, where the liquid level system was approximated as a first order plant with time delay.About:
This article is published in Measurement.The article was published on 2013-07-01. It has received 33 citations till now. The article focuses on the topics: Stationary wavelet transform & Wavelet packet decomposition.read more
Citations
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Journal ArticleDOI
Water level sensing: State of the art review and performance evaluation of a low-cost measurement system
TL;DR: In this paper, a review of prior art on liquid level sensing is initially presented, and the operational characteristics and performance of a novel capacitive-type water level measurement system are investigated through simulations and experimental tests conducted in two water storage tanks of a city-scale water distribution network.
Journal ArticleDOI
Multiple Random Forests Modelling for Urban Water Consumption Forecasting
TL;DR: The results indicated that the W-RFR can capture the basic dynamics of the daily urban water consumption and was compared with models, i.e., the RFR and forward feed neural network (FFNN) models.
Journal ArticleDOI
Experimental Characterization and Performance Evaluation of Flexible Two-Wire Probes for TDR Monitoring of Liquid Level
TL;DR: The proposed time-domain reflectometry (TDR) based system resorts to a flexible, two-wire probe, which can be attached to the walls of containers and adapted to their shape, and can measure automatically and in real time the level of liquids inside containers.
Journal ArticleDOI
Study on the natural gas pipeline safety monitoring technique and the time-frequency signal analysis method
Zhigang Qu,Yanfen Wang,Huanhuan Yue,Yang An,Liqun Wu,Zhou Weibin,Wang Huayang,Su Zhichao,Jian Li,Yu Zhang,Likun Wang,Xiliang Yang,Yuchen Cai,Daxian Yan +13 more
TL;DR: In this article, a natural gas pipeline safety monitoring technique based on acoustic excitation is studied, which can be monitored online at multiple locations and distinguished by energy pattern based on wavelet packet analysis.
Journal ArticleDOI
Using wavelet packet denoising and ANFIS networks based on COSFLA optimization for electrical resistivity imaging inversion
TL;DR: A wavelet packet denoising (WPD) procedure and an improved adaptive neuro-fuzzy inference system (ANFIS) based on Cauchy oscillation shuffled frog leaping algorithm (COSFLA) are proposed in this paper, based on soft thresholding and Shannon entropy.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI
De-noising by soft-thresholding
TL;DR: The authors prove two results about this type of estimator that are unprecedented in several ways: with high probability f/spl circ/*/sub n/ is at least as smooth as f, in any of a wide variety of smoothness measures.
Journal ArticleDOI
Estimation of the Mean of a Multivariate Normal Distribution
TL;DR: In this article, an unbiased estimate of risk is obtained for an arbitrary estimate, and certain special classes of estimates are then discussed, such as smoothing by using moving averages and trimmed analogs of the James-Stein estimate.
Journal ArticleDOI
Continuous and discrete wavelet transforms
Christopher Heil,David F. Walnut +1 more
TL;DR: This paper is an expository survey of results on integral representations and discrete sum expansions of functions in $L^2 ({\bf R})$ in terms of coherent states, focusing on Weyl–Heisenberg coherent states and affine coherent states.
Proceedings ArticleDOI
Threshold selection for wavelet shrinkage of noisy data
TL;DR: In this paper, the authors review and compare various proposals for the choice of thresholds, including soft and hard thresholding, and thresholds that are fixed in advance or chosen level by level from an empirical optimality criterion.
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