Alexey N Pavlov


Ontology type: schema:Person     


Person Info

NAME

Alexey N

SURNAME

Pavlov

Publications in SciGraph latest 50 shown

  • 2018-08 A Method for Increasing the Accuracy in Calculating the Characteristics of Complex Dynamics of Threshold Systems in TECHNICAL PHYSICS LETTERS
  • 2018-07 The Influence of Data Loss on Diagnostics of Complex System Dynamics in TECHNICAL PHYSICS LETTERS
  • 2018-03 Nonlinear analysis of brain activity, associated with motor action and motor imaginary in untrained subjects in NONLINEAR DYNAMICS
  • 2018-01 Computing Spectral Characteristics from Short Signals and Nonstationary Processes in TECHNICAL PHYSICS LETTERS
  • 2017-11 Analysis of chaotic dynamic regimes using series of interburst intervals in TECHNICAL PHYSICS
  • 2017-07 Noisy signal filtration using complex wavelet basis sets in TECHNICAL PHYSICS LETTERS
  • 2017-04 Determining the largest Lyapunov exponent of chaotic dynamics from sequences of interspike intervals contaminated by noise in THE EUROPEAN PHYSICAL JOURNAL B
  • 2017-03 Application of the dual-tree wavelet transform for digital filtering of noisy audio signals in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2017-01 Estimating the predictability time of noisy chaotic dynamics from point sequences in TECHNICAL PHYSICS LETTERS
  • 2016-08 Speech signal filtration using double-density dual-tree complex wavelet transform in TECHNICAL PHYSICS LETTERS
  • 2016-02 Digital filtering of noisy data concerned with the effect of the threshold level and choice of a wavelet in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2016-01 Wavelet filtration of noisy images in TECHNICAL PHYSICS LETTERS
  • 2015-11 Errors of analysis of parameters of complex oscillation regimes using point sequences of the integrate-and-fire model in TECHNICAL PHYSICS LETTERS
  • 2015-11 Noise-induced loss of multifractality in dynamics of systems with self-sustained oscillations in TECHNICAL PHYSICS LETTERS
  • 2015-08 Control for statistical characteristics of chaotic oscillation regimes by noise exposure in TECHNICAL PHYSICS LETTERS
  • 2015-07 Digital audio signal filtration based on the dual-tree wavelet transform in TECHNICAL PHYSICS LETTERS
  • 2015-03 Diagnostics of the regime of hyperchaotic dynamics from sequences of threshold-crossing time intervals in TECHNICAL PHYSICS LETTERS
  • 2015 Wavelets in Neuroscience in NONE
  • 2013-10 Serial identification of EEG patterns using adaptive wavelet-based analysis in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
  • 2013-10 Wavelet-analysis of gastric microcirculation in rats with ulcer bleedings in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
  • 2013-10 Editorial in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
  • 2013-10 Adaptive wavelet analysis of optical coherent tomography data: Application in problems of diagnostics in TECHNICAL PHYSICS LETTERS
  • 2013-09 A method for protecting communicated information using neural-network detection in TECHNICAL PHYSICS LETTERS
  • 2013-08 Adaptive wavelet transform-based method for recognizing characteristic oscillatory patterns in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2012-12 Automatic extraction and analysis of oscillatory patterns on nonstationary EEG signals by means of wavelet transform and the empirical modes method in BULLETIN OF THE RUSSIAN ACADEMY OF SCIENCES: PHYSICS
  • 2012-07 Application of wavelet analysis and artificial neural networks in solving the problem concerning shape recognition of noisy pulsed signals in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2011-09 Digital filtering and time-and-frequency analysis of nonstationary signals on the basis of wavelets and empirical modes in JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS
  • 2008-04 Analysis of correlation properties of random processes using short signals in TECHNICAL PHYSICS LETTERS
  • 2007-09 Sorting of neural spikes: When wavelet based methods outperform principal component analysis in NATURAL COMPUTING
  • 2006-12 Studying transient phase dynamics using the phase resetting method in TECHNICAL PHYSICS LETTERS
  • 2006-11 Wavelet analysis of the structure of point processes in TECHNICAL PHYSICS LETTERS
  • 2006-10 Unraveling Cell Processes: Interference Imaging Interwoven with Data Analysis in JOURNAL OF BIOLOGICAL PHYSICS
  • 2006-10 Double wavelet analysis of modulation phenomena in nonstationary dynamics in TECHNICAL PHYSICS LETTERS
  • 2005 Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis in MECHANISMS, SYMBOLS, AND MODELS UNDERLYING COGNITION
  • 2000-08 Dynamic characteristics of chaotic processes determined from point process analysis in TECHNICAL PHYSICS LETTERS
  • 1999-06 Reconstruction of dynamic systems using short signals in TECHNICAL PHYSICS LETTERS
  • 1999-05 Global reconstruction from nonstationary data in TECHNICAL PHYSICS LETTERS
  • 1998-12 Reconstruction of dynamic systems as applied to secure communications in TECHNICAL PHYSICS
  • 1997-04 Application of statistical methods to solve global reconstruction problems in TECHNICAL PHYSICS LETTERS
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.78837.33", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.446088.6", 
            "type": "Organization"
          }
        ], 
        "familyName": "Pavlov", 
        "givenName": "Alexey N", 
        "id": "sg:person.01116500163.08", 
        "identifier": {
          "name": "orcid_id", 
          "type": "PropertyValue", 
          "value": [
            "0000-0001-9946-8938"
          ]
        }, 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116500163.08", 
          "https://orcid.org/0000-0001-9946-8938"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T15:05", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_786.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.01116500163.08'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01116500163.08'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01116500163.08'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01116500163.08'


     




    Preview window. Press ESC to close (or click here)


    ...