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An Improvement in Representation of Audio Signal in Time-Frequency Plane using EMD-2TEMD Based Approach

Kazi Mahmudul Hassan, Md. Ekramul Hamid, Takayoshi Nakai
2016 Rajshahi University Journal of Science and Engineering  
This study proposed an enhanced time-frequency representation of audio signal using<br />EMD-2TEMD based approach.  ...  <br />condition etc. 2T-EMD based hilbert spectrum of audio signal encountered some issues<br />due to the generation of too many IMFs in the process where EMD produces less.  ...  The ixegram measures the mutual similarities of components in an audio segment and clustering the ixegram yields the source subspace and time trajectories [13] .  ... 
doi:10.3329/rujse.v44i0.30399 fatcat:qpj2mq2fmrcirjppighskjaig4

EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponen ...

S. M. Shafiul Alam, S. M. Shafiul Alam, Aurangozeb, Syed TarekShahriar
2012 International Journal of Computer and Electrical Engineering  
An EMD-chaos based approach is proposed to discriminate EEG signals corresponding to healthy persons, and epileptic patients during seizure-free intervals and seizure attacks.  ...  An electroencephalogram (EEG) is first empirically decomposed to intrinsic mode functions (IMFs).  ...  In this paper, a nonlinear approach, based on chaos analysis of EEG signals in the empirical mode decomposition (EMD) domain, to classify healthy persons, and epileptic patients with and without seizure  ... 
doi:10.7763/ijcee.2012.v4.505 fatcat:ok7z63724jdcro44bw7oodmjya

Steering measurement decomposition for vehicle lane keeping – A study of driver behaviour

Yu Zhang, Timothy Gordon, Miguel Martinez-Garcia, Chris Bingham
2018 Measurement (London)  
Highlights  The PCM can describe intermittent pulse-like qualities in real-world steering measurements.  Steering angle measurements can be decomposed into a combination of trend, ISCs and SCs.  EMD  ...  Trends are extracted through the use of empirical mode decomposition (EMD) and principal component analysis (PCA), with singular spectral analysis (SSA) and Fourier curve-fitting (FCF) being employed to  ...  (a) (b) (c) (d) The pulse control scheme was also validated in [25] , where a similar driver modelling approach was proposed based on the primitive steering pulses.  ... 
doi:10.1016/j.measurement.2018.02.053 fatcat:hx3nmedm7fcgfbe6ymbajgy6je

Spectral Correlation Measure for Selecting Intrinsic Mode Functions [chapter]

Edgar F. Sierra-Alonso, Oscar Cardona-Morales, Carlos D. Acosta-Medina, German Castellanos-Dominguez
2014 Lecture Notes in Computer Science  
In that sense, representation methods based on time series decomposition and similarity measures are combined to select representative features with physical interpretability.  ...  In this work, we introduce two similarity measures based on the cross-power spectral density to select representative intrinsic mode functions (IMF) that characterize the time series.  ...  Estimation of Correlation-Based Similarity Measures To select the most representative IMF better describing the machine fault vibration, we make use of the approaches explained above in Section 2.2, which  ... 
doi:10.1007/978-3-319-12568-8_29 fatcat:it5edc6eevfjnha67j3he3kpk4

A noise reduction method for force measurements in water entry experiments based on the Ensemble Empirical Mode Decomposition [article]

Emanuele Spinosa, Alessandro Iafrati
2021 arXiv   pre-print
In this paper a denoising strategy based on the EEMD (Ensemble Empirical Mode Decomposition) is used to reduce the background noise in non-stationary signals, which represent the forces measured in scaled  ...  The EEMD noise reduction method is based on the decomposition of the signal into modes and on its partial reconstruction using the residue, the signal-dominant modes and some further modes treated with  ...  Based on the above considerations, the EEMD approach is used in the following.  ... 
arXiv:2109.14310v1 fatcat:4rhguakb5jep5koiln7tcre57y

Detecting feeble position oscillations from rotary encoder signal in an industrial robot via singular spectrum analysis

Hongli Gao, Riyadh Ali
2019 IET Science, Measurement & Technology  
A numerical emulation is demonstrated to show the efficiency of the approach.  ...  The suggested technique is proven to be reliable and feasible for an industrial robot.  ...  , EEMD, and EMD approaches. o The SSA strategy can decompose an encoder signal in the existence of a higher trend, while the technique of CEEMDAN, EEMD, and EMD could not.  ... 
doi:10.1049/iet-smt.2019.0172 fatcat:6klsrbjyvranjby247vgqtkj7i

Digitalization of scanning lidar measurement campaign planning

Nikola Vasiljević, Andrea Vignaroli, Andreas Bechmann, Rozenn Wagner
2020 Wind Energy Science  
In the first phase, based on a preliminary wind farm layout, we generate optimum measurement positions using a greedy algorithm and a measurement "representative radius".  ...  In the fourth phase, we optimize and generate a trajectory through the measurement positions by applying the traveling salesman problem (TSP) on these positions.  ...  The authors would like to acknowledge Morten Thøgersen (EMD) for his support during the conceptualization phase of the study described in the paper Financial support.  ... 
doi:10.5194/wes-5-73-2020 fatcat:j4nb2fv6knfj5cyakd4ij6bcpq

EEG-based human emotion recognition using entropy as a feature extraction measure

Pragati Patel, Raghunandan R, Ramesh Naidu Annavarapu
2021 Brain Informatics  
EEG closely measures the electrical activities of the brain (a nonlinear system) and hence entropy proves to be an efficient feature in extracting meaningful information from raw brain waves.  ...  ., EEG-based method is in stark comparison to traditional non-physiological signal-based methods and has been shown to perform better.  ...  EMD approximate entropy Approximate entropy (ApEn) is a 'regularity statistics' measuring the randomness of the fluctuation in given data set.  ... 
doi:10.1186/s40708-021-00141-5 pmid:34609639 fatcat:c5qogfsptbhwxjh4otnzdsng6m

A Comparison of Postural Stability during Upright Standing between Normal and Flatfooted Individuals, Based on COP-Based Measures

Tsui-Chiao Chao, Bernard Jiang
2017 Entropy  
This paper proposes a set of measures involving an entropy-based method used for two groups of young adults with dissimilar foot arches to explore and quantize postural stability on a force plate in an  ...  The traditional commonly-used COP-based measures only revealed differences under EO conditions.  ...  We found that: (1) based on traditional raw-data-based measures from COP signals, MDIST and RDIST exhibited significant differences in the ML direction with EO (Table 2 ); (2) the CI values (an entropy-based  ... 
doi:10.3390/e19020076 fatcat:fnmhzgo6kre47bsieh7uetbjpm

Single molecule measurements of DNA helicase activity with magnetic tweezers and t- test based step-finding analysis

Yeonee Seol, Marie-Paule Strub, Keir C. Neuman
2016 Methods  
Along with experimental methods, we describe a robust method of singlemolecule trajectory analysis based on the Student's t-test that accommodates continuous transitions in addition to the discrete transitions  ...  Magnetic tweezers is a versatile and easy to implement single-molecule technique that has become increasingly prevalent in the study of nucleic acid based molecular motors.  ...  Based on this initial fit, the entire data set is then fit with an all-at-once function of the same form.  ... 
doi:10.1016/j.ymeth.2016.04.030 pmid:27131595 pmcid:PMC4967025 fatcat:g5sh5deruzganhiwy3xyemnxpe

Measurement Issues: Measures of infant mental health

Eduardo Szaniecki, Jacqueline Barnes
2015 Child and Adolescent Mental Health  
, and which may be suitable for use in primary care settings, including observations, questionnaires and checklists.  ...  This evidenced based review describes the psychometric properties and potential for use in clinical practice of a range of instruments and methods that are available to identify infant mental health difficulties  ...  Also, there have been limited studies looking at the psychometric evidence to support the use of measures based on diagnostic classification systems (Bagner et al., 2012) .  ... 
doi:10.1111/camh.12105 pmid:32680360 fatcat:yui4242drbbetlpdkgktu5jazq

A Semantic Inference Based Method for Privacy Measurement

Baocun Chen, Nafei Zhu, Jingsha He, Peng He, Shuting Jin, Shijia Pan
2020 IEEE Access  
In this paper, we propose a semantic inference method based on the WordNet ontology to measure privacy disclosure in which we employ an information content (IC) based method to determine the weight of  ...  This can undoubtedly bring high risk of privacy disclosure to users under such an attack model. So, accurately measuring the leakage of privacy becomes an urgent issue.  ...  Resnik proposed an information content-based similarity measure in 1995 following information theoretic approach [25] .  ... 
doi:10.1109/access.2020.3034398 fatcat:bh6xkk5uajckjm43q5cxr7jlci

Interpreting muscle function from EMG: lessons learned from direct measurements of muscle force

T. J. Roberts, A. M. Gabaldon
2008 Integrative and Comparative Biology  
This variation in r-EMD was not explained by differences in muscle length trajectory, as the magnitude of r-EMD was not correlated with the velocity of shortening of the muscle during relaxation.  ...  First, we measured the relaxation electromechanical delay (r-EMD) as the time from the end of the EMG signal to time of the end of force.  ...  A similar approach was taken to identify the timing of the offset of force with a threshold level calculated from the standard deviation of the force signal. r-EMD was measured as the time from the offset  ... 
doi:10.1093/icb/icn056 pmid:21669793 pmcid:PMC4817590 fatcat:yk674rei2bhcpg5uvccwkrjqqq

A Robust Measure of Event Isotropy at Colliders [article]

Cari Cesarotti, Jesse Thaler
2020 arXiv   pre-print
This observable is based on a normalized version of the energy mover's distance, which is the minimum "work" needed to rearrange one radiation pattern into another of equal energy.  ...  The weights w p,i and w q,j are now the energies (or momenta) of particles, and the ground measures d ij are now an angular distance between particle trajectories. In Ref.  ...  Similarly, the EMD is unchanged as the distance between two points in the same distribution approaches zero.  ... 
arXiv:2004.06125v3 fatcat:rm4e2wuxfzepzdwck5u2oasska

Trajectory clustering by means of Earth Mover's Distance

F. Boem, F.A. Pellegrino, G. Fenu, T. Parisini
2011 IFAC Proceedings Volumes  
We propose a method for trajectory classification based on a general cluster-based methodology, that can be used both off-line in an unsupervised fashion, both on-line, classifying new trajectories or  ...  We discuss the experimental results and we compare our approach with other trajectory clustering methods.  ...  They are applicable to series of different length as well as an appropriate distance measure is used to compute the distance/similarity.  ... 
doi:10.3182/20110828-6-it-1002.01230 fatcat:nkyzpiidxzeihgjupbka5s3okq
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