Browsing by Subject "Entropy"
Now showing items 1-8 of 8
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A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation
( Public Library of Science , 2020 , Article)Successful implementation of the lean concept as a sustainable approach in the construction industry requires the identification of critical drivers in lean construction. Despite this significance, the number of in-depth ... -
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures
( IEEE , 2013 , Conference Paper)Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, ... -
Editorial: Time frequency and array processing of non-stationary signals
( Springer , 2012 , Article)Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of ... -
Employing Information Theoretic Metrics with Data-Driven Occupancy Detection Approaches: A Comparative Analysis
( IEEE , 2022 , Conference Paper)Building occupancy data helps increase energy management systems' performance, enabling lower energy use while preserving occupant comfort. The focus of this study is employing environmental data (e.g., including but not ... -
Novel techniques for improving NNetEn entropy calculation for short and noisy time series
( Springer Science and Business Media B.V. , 2023 , Article)Entropy is a fundamental concept in the field of information theory. During measurement, conventional entropy measures are susceptible to length and amplitude changes in time series. A new entropy metric, neural network ... -
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
(2012 , Conference Paper)A key characteristic of a nonstationary signal, when analyzed in the time-frequency domain, is the signal complexity, quantified as the number of components in the signal. This paper describes a method for the estimation ... -
Time frequency and array processing of non-stationary signals
(2012 , Article)The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergistic relationship between time-frequency methods and array signal processing methods and addresses recent developments. In ... -
Unsupervised feature selection method for improved human gait recognition
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Gait recognition is an emerging biometric technology which aims to identify people purely through the analysis of the way they walk. The technology has attracted interest as a method of identification because it is ...