POVM-induced Coherence Measure in Terms of Fidelity

2020 ◽  
Author(s):  
Qiang Lei
Keyword(s):  
Coherence Measure

An Efficient Eigenstructure-Based Coherence Measure via Dimensionality Reduction

2019 ◽  
Vol 16 (11) ◽  
pp. 1711-1715
Author(s):  
Zhizhou Huo ◽  
Xiwu Liu ◽  
Xiaokai Wang ◽  
Wenchao Chen
Keyword(s):  
Dimensionality Reduction ◽  
Coherence Measure

Coherence-based correntropy spectral density: A novel coherence measure for functional connectivity of EEG signals

Measurement ◽  
2019 ◽  
Vol 140 ◽  
pp. 354-364
Author(s):  
Mohamad Amin Bakhshali ◽  
Abbas Ebrahimi-Moghadam ◽  
Morteza Khademi ◽  
Sahar Moghimi
Keyword(s):  
Functional Connectivity ◽  
Spectral Density ◽  
Eeg Signals ◽  
Coherence Measure

Connection of coherence measure and unitary evolutions

2019 ◽  
Vol 18 (6) ◽  
Author(s):  
Lei Li ◽  
Shu-Qian Shen ◽  
Ming Li ◽  
Qing-Wen Wang
Keyword(s):  
Coherence Measure

The EEG as a Measure of Cerebral Functional Organization

1977 ◽  
Vol 130 (3) ◽  
pp. 260-264 ◽  
Author(s):  
J. C. Shaw ◽  
K. P. O'Connor ◽  
C. Ongley
Keyword(s):  
Psychiatric Disorders ◽  
Psychiatric Illness ◽  
Functional Organization ◽  
Psychiatric Patients ◽  
Practical Importance ◽  
Control Groups ◽  
Coherence Measure ◽  
Alpha Frequency ◽  
Normal Individuals ◽  
The Brain

SummaryEvidence suggests that anomalies of functional organization in the brain may be present in some psychiatric disorders and that EEG differences between psychiatric patients and appropriate control groups may depend on them. It is therefore of practical importance to develop further ways of examining the association between the EEG and such organization. The change in inter-hemisphere coherence (a measure of EEG synchronicity) in the alpha frequency band when carrying out a task is shown to discriminate a group of 11 right from 11 left preferent normal individuals. Since right and left preference is associated with differences in cerebral functional organization, the coherence measure may be a useful way of studying this feature of psychiatric illness.

Multi-channel post-filtering based on spatial coherence measure

2014 ◽  
Vol 105 ◽  
pp. 338-349 ◽  
Author(s):  
Jwu-Sheng Hu ◽  
Ming-Tang Lee
Keyword(s):  
Spatial Coherence ◽  
Coherence Measure

scholarly journals RESEARCH ON THE FRACTAL STATISTICAL CHARACTERISTICS AS POSSIBLE PROGNOSTIC PARAMETERS FOR EARTHQUAKES, GENERATED IN THE SEISMIC ZONE OF VRANCEA, IN THE PERIOD BETWEEN 01.08.2016 AND 30.12.2016

2019 ◽  
Vol 1 (8(38)) ◽  
pp. 3-12
Author(s):  
E. Oynakov ◽  
D. Solakov ◽  
I. Aleksandrova
Keyword(s):  
Fractal Analysis ◽  
Low Frequency ◽  
Focal Mechanisms ◽  
Statistical Characteristics ◽  
Seismic Zone ◽  
Coherence Measure ◽  
Noise Structure ◽  
Scientific Goal ◽  
Seismic Records ◽  
The Individual

Using fractal analysis is an excellent alternative method for decode the seismic noise structure. Fractal analysis of microseismic noise could also be an appropriate method to detect earthquake indicators. The scientific goal is to detect standard signals, based on different earthquakes’ focal mechanisms, separating the "individual" behavior of the elements of the monitoring systems.The method for describing low-frequency microseismic noise from the network of seismic stations in a seismically active region of the Vrancea used. Seismic records of twenty-three broadband stations were analyzed, situated at distances of 20 to 500 km from the Vrancea earthquakes whit magnitudes Mw=5.7 and Mw=5.6 on September 23 and December 27, 2016, respectively. The daily assessment values of three multifractal parameters (characteristics of the multifractal singularity spectra of the waveform) from each station used for the description.The present paper is a continuation of previous work [Oynakov et al., 2019], where the effects of synchronization in the low-frequency microseismic field were found before the Vrancea earthquake with magnitude Mp=5.6 on October 28, 2019.The study shows that the noise coherence measure increased for stations, closer to the epicenter. However, the question of the source of this coherence remains open.

ON THE DEFINITION OF COHERENCE MEASURE FOR FUZZY SETS

2004 ◽  
Vol 12 (02) ◽  
pp. 129-144 ◽  
Author(s):  
A. SANCHO-ROYO ◽  
J. L. VERDEGAY
Keyword(s):  
Fuzzy Sets ◽  
Coherence Measure ◽  
Underlying Theory ◽  
Comparison Methods ◽  
Lebesgue Set ◽  
Definition Of ◽  
Comparison Measures

Studying comparison methods for fuzzy sets is an essential task for the good understanding of the underlying theory in this field. Most of these tools deal with fuzzy sets from the view of similarity, order relationships and so forth. In this paper however, based on a former comparison measures introduced by the authors, the so called Coherence Measures, the extension and analysis of these tools to a measurable Lebesgue set X is carried out. Furthermore we present how coherence measures could be linked to the Fishburn-Yager's ambiguity measures. Besides, two methods for constructing coherence measures, one from ambiguity measures and another from metrics on Pf(X), the set of fuzzy sets on X, are shown and exemplified by a variety of measures and metrics. Finally some illustrative examples testing the coherence measures introduced are provided.

Prospecting the Effect of Topic Modeling in Information Retrieval

2021 ◽  
Vol 17 (3) ◽  
pp. 18-34
Author(s):  
Aakanksha Sharaff ◽  
Jitesh Kumar Dewangan ◽  
Dilip Singh Sisodia
Keyword(s):  
Information Retrieval ◽  
Topic Modeling ◽  
Topic Model ◽  
Language Model ◽  
High Dimensionality ◽  
Retrieval Process ◽  
Coherence Measure ◽  
Retrieval Task ◽  
Inverse Document Frequency ◽  
Document Frequency

Enormous records and data are gathered every day. Organization of this data is a challenging task. Topic modeling provides a way to categorize these documents, where high dimensionality of the corpus affects the result of topic model, making it important to apply feature selection or information retrieval process for dimensionality reduction. The requirement for efficient topic modeling includes the removal of unrelated words that might lead to specious coexistence of the unrelated words. This paper proposes an efficient framework for the generation of better topic coherence, where term frequency-inverse document frequency (TF-IDF) and parsimonious language model (PLM) are used for the information retrieval task. PLM extracts the important information and expels the general words from the corpus, whereas TF-IDF re-estimates the weightage of each word in the corpus. The work carried out in this paper improved the topic coherence measure to provide a better correlation among the actual topic and the topics generated from PLM.

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