Applied Signal Processing View Homepage


Ontology type: schema:Periodical      Open Access: True


Journal Info

START YEAR

2007

PUBLISHER

Springer International Publishing

LANGUAGE

en

HOMEPAGE

http://asp-eurasipjournals.springeropen.com

Recent publications latest 20 shown

  • 2019-12 Joint channel and phase noise estimation for mmWave full-duplex communication systems
  • 2019-12 A multisource fusion framework driven by user-defined knowledge for egocentric activity recognition
  • 2019-12 Recurrently exploiting co-saliency of target for part-based visual tracking
  • 2019-12 Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm
  • 2019-12 Bias reduction for TDOA localization in the presence of receiver position errors and synchronization clock bias
  • 2019-12 A multiple model high-resolution head-related impulse response database for aided and unaided ears
  • 2019-12 Convolutional neural networks for radar HRRP target recognition and rejection
  • 2019-12 Two variants of the IIR spline adaptive filter for combating impulsive noise
  • 2019-12 Multi-resolution auditory cepstral coefficient and adaptive mask for speech enhancement with deep neural network
  • 2019-12 Signal-to-noise ratio estimation for M-QAM signals in η−μand κ−μfading channels
  • 2019-12 A robust modulation classification method using convolutional neural networks
  • 2019-12 A bottom-up summarization algorithm for videos in the wild
  • 2019-12 A fast STAP method using persymmetry covariance matrix estimation for clutter suppression in airborne MIMO radar
  • 2019-12 Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising
  • 2019-12 FROST—Fast row-stochastic optimization with uncoordinated step-sizes
  • 2019-12 Angle-range-polarization-dependent beamforming for polarization sensitive frequency diverse array
  • 2019-12 Support system for classification of beat-to-beat arrhythmia based on variability and morphology of electrocardiogram
  • 2019-12 Reverberation suppression using non-negative matrix factorization to detect low-Doppler target with continuous wave active sonar
  • 2019-12 Distributed stochastic gradient descent for link prediction in signed social networks
  • 2019-12 An algebraic method for moving source localization using TDOA, FDOA, and differential Doppler rate measurements with receiver location errors
  • 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", 
        "about": [
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/T24051", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Signal,Image and Speech Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/P31070", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Quantum Information Technology, Spintronics", 
            "type": "DefinedTerm"
          }
        ], 
        "contentRating": [
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2017", 
            "ratingValue": "1.639", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2016", 
            "ratingValue": "1.961", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2015", 
            "ratingValue": "0.928", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2014", 
            "ratingValue": "0.777", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2013", 
            "ratingValue": "0.808", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2009", 
            "ratingValue": "0.885", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2012", 
            "ratingValue": "0.807", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2011", 
            "ratingValue": "0.811", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2010", 
            "ratingValue": "1.053", 
            "type": "Rating"
          }
        ], 
        "description": "

    EURASIP Journal on Advances in Signal Processing is a peer-reviewed open access journal published under the brand SpringerOpen. It\u00a0brings science and applications together with emphasis on both practical and theoretical aspects of signal processing in new and emerging technologies. It is directed as much at the practicing engineer as at the academic researcher. EURASIP Journal on Advances in Signal Processing will highlight the extended reach and the diverse applications of signal processing and encourage a cross-fertilization of techniques. All papers should attempt to bring theory to life with practical simulations and examples. EURASIP Journal on Advances in Signal Processing employs paperless, electronic review process to foster fast and speedy turnaround in review process.

    Application areas include (but are not limited to): communications, networking, sensors and actuators, radar and sonar, medical imaging, biomedical applications, remote sensing, consumer electronics, computer vision, pattern recognition, robotics, fiber optic sensing/transducers, industrial automation, transportation, stock market and financial analysis, seismography, avionics.

    The average time to first decision is only 40 days

    ", "editor": [ { "familyName": "Frossard", "givenName": "Pascal", "type": "Person" } ], "id": "sg:journal.1357355", "inLanguage": [ "en" ], "isAccessibleForFree": true, "issn": [ "1687-6172", "1687-0433" ], "license": "Fully Open Access", "name": "Applied Signal Processing", "productId": [ { "name": "scopus_id", "type": "PropertyValue", "value": [ "26646" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "101480232", "101269458" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "471588", "440390" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "13634", "529" ] }, { "name": "lccn_id", "type": "PropertyValue", "value": [ "2007251104" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "357355" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "4413" ] } ], "publisher": { "name": "Springer International Publishing", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1357355" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "startYear": "2007", "type": "Periodical", "url": "http://asp-eurasipjournals.springeropen.com" } ]

     

    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/journal.1357355'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1357355'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1357355'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1357355'


     

    This table displays all metadata directly associated to this object as RDF triples.

    130 TRIPLES      21 PREDICATES      38 URIs      32 LITERALS      19 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1357355 schema:about sg:ontologies/product-market-codes/P31070
    2 sg:ontologies/product-market-codes/T24051
    3 schema:contentRating N20f3b01554b14e828246285e9883ab47
    4 N2a9c744121084424ac3fc29e6df4c01d
    5 N3df29c6ace164efb9e816de6d7b67ba8
    6 N742b1e5f471d4995869cfce98462f387
    7 N8029874b084e41b890cb69e7be6efe71
    8 Na049c694432c43ffa5f5110c70980b18
    9 Nb4dfe5502efb48e3a0ada39b3989ee51
    10 Nba0797404ab94567bb425d800f1cf797
    11 Ne5d9799387a14a7e876d0ccbce781ded
    12 schema:description <p>EURASIP Journal on Advances in Signal Processing is a peer-reviewed open access journal published under the brand SpringerOpen. It brings science and applications together with emphasis on both practical and theoretical aspects of signal processing in new and emerging technologies. It is directed as much at the practicing engineer as at the academic researcher. EURASIP Journal on Advances in Signal Processing will highlight the extended reach and the diverse applications of signal processing and encourage a cross-fertilization of techniques. All papers should attempt to bring theory to life with practical simulations and examples. EURASIP Journal on Advances in Signal Processing employs paperless, electronic review process to foster fast and speedy turnaround in review process.</p><p>Application areas include (but are not limited to): communications, networking, sensors and actuators, radar and sonar, medical imaging, biomedical applications, remote sensing, consumer electronics, computer vision, pattern recognition, robotics, fiber optic sensing/transducers, industrial automation, transportation, stock market and financial analysis, seismography, avionics.</p><p>The average time to first decision is only 40 days</p><p/>
    13 schema:editor Ndb305853509c4b208adaada516a873a8
    14 schema:inLanguage en
    15 schema:isAccessibleForFree true
    16 schema:issn 1687-0433
    17 1687-6172
    18 schema:license Fully Open Access
    19 schema:name Applied Signal Processing
    20 schema:productId N2c26f8b48bd34d5fb2379941af2959de
    21 N48c9ff5ef4aa4cf4a3512c5726523152
    22 N5ec2219eb23644dbbed85f691648bbd9
    23 N5efe3874c89f4cfa811e648c9b376f46
    24 N755cfff65ba14cfdbfd02068e2ace029
    25 Nd0eb3ae04d494cb98cbe209f48669a3f
    26 Ne395f1522be740c89e6f04d7d3bd3484
    27 schema:publisher Na66e7cd548404aecb53d5eb4f3683ddc
    28 schema:publisherImprint Springer
    29 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1357355
    30 schema:sdDatePublished 2019-03-18T11:05
    31 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    32 schema:sdPublisher Nef77cf638a5145caa1a3b50902f0a4ac
    33 schema:startYear 2007
    34 schema:url http://asp-eurasipjournals.springeropen.com
    35 sgo:license sg:explorer/license/
    36 sgo:sdDataset journals
    37 rdf:type schema:Periodical
    38 N0388fefe097545e09bb7fe28b72544ea rdf:first impact_factor_wos
    39 rdf:rest rdf:nil
    40 N12c9e505101a4b5ea19fd45722056c38 rdf:first impact_factor_wos
    41 rdf:rest rdf:nil
    42 N20f3b01554b14e828246285e9883ab47 schema:author N12c9e505101a4b5ea19fd45722056c38
    43 schema:dateCreated 2009
    44 schema:ratingValue 0.885
    45 rdf:type schema:Rating
    46 N222e27f84a704ee486a718be65d92545 schema:familyName Frossard
    47 schema:givenName Pascal
    48 rdf:type schema:Person
    49 N2a9c744121084424ac3fc29e6df4c01d schema:author N0388fefe097545e09bb7fe28b72544ea
    50 schema:dateCreated 2013
    51 schema:ratingValue 0.808
    52 rdf:type schema:Rating
    53 N2c26f8b48bd34d5fb2379941af2959de schema:name springer_id
    54 schema:value 13634
    55 529
    56 rdf:type schema:PropertyValue
    57 N3df29c6ace164efb9e816de6d7b67ba8 schema:author Na2abce61939a418bb6788601f062bf4d
    58 schema:dateCreated 2010
    59 schema:ratingValue 1.053
    60 rdf:type schema:Rating
    61 N48c9ff5ef4aa4cf4a3512c5726523152 schema:name era_ids_id
    62 schema:value 4413
    63 rdf:type schema:PropertyValue
    64 N5e74dc85b98147adbbad2729b5b766a3 rdf:first impact_factor_wos
    65 rdf:rest rdf:nil
    66 N5e9eacb694e74bbf812b135394dd65fc rdf:first impact_factor_wos
    67 rdf:rest rdf:nil
    68 N5ec2219eb23644dbbed85f691648bbd9 schema:name nsd_ids_id
    69 schema:value 440390
    70 471588
    71 rdf:type schema:PropertyValue
    72 N5efe3874c89f4cfa811e648c9b376f46 schema:name dimensions_id
    73 schema:value 357355
    74 rdf:type schema:PropertyValue
    75 N742b1e5f471d4995869cfce98462f387 schema:author Ne3f98e97144e44b08b03109de27c6a76
    76 schema:dateCreated 2012
    77 schema:ratingValue 0.807
    78 rdf:type schema:Rating
    79 N755cfff65ba14cfdbfd02068e2ace029 schema:name lccn_id
    80 schema:value 2007251104
    81 rdf:type schema:PropertyValue
    82 N8029874b084e41b890cb69e7be6efe71 schema:author N5e9eacb694e74bbf812b135394dd65fc
    83 schema:dateCreated 2011
    84 schema:ratingValue 0.811
    85 rdf:type schema:Rating
    86 Na049c694432c43ffa5f5110c70980b18 schema:author Nc8977a7333a5409eb335f2e35d5bd1d9
    87 schema:dateCreated 2017
    88 schema:ratingValue 1.639
    89 rdf:type schema:Rating
    90 Na2abce61939a418bb6788601f062bf4d rdf:first impact_factor_wos
    91 rdf:rest rdf:nil
    92 Na66e7cd548404aecb53d5eb4f3683ddc schema:name Springer International Publishing
    93 rdf:type schema:Organization
    94 Nae28d27070f94308a91734257057a109 rdf:first impact_factor_wos
    95 rdf:rest rdf:nil
    96 Nb4dfe5502efb48e3a0ada39b3989ee51 schema:author Neb0070bc3b9642e5a4be69e209f81c59
    97 schema:dateCreated 2015
    98 schema:ratingValue 0.928
    99 rdf:type schema:Rating
    100 Nba0797404ab94567bb425d800f1cf797 schema:author Nae28d27070f94308a91734257057a109
    101 schema:dateCreated 2016
    102 schema:ratingValue 1.961
    103 rdf:type schema:Rating
    104 Nc8977a7333a5409eb335f2e35d5bd1d9 rdf:first impact_factor_wos
    105 rdf:rest rdf:nil
    106 Nd0eb3ae04d494cb98cbe209f48669a3f schema:name scopus_id
    107 schema:value 26646
    108 rdf:type schema:PropertyValue
    109 Ndb305853509c4b208adaada516a873a8 rdf:first N222e27f84a704ee486a718be65d92545
    110 rdf:rest rdf:nil
    111 Ne395f1522be740c89e6f04d7d3bd3484 schema:name nlm_unique_id
    112 schema:value 101269458
    113 101480232
    114 rdf:type schema:PropertyValue
    115 Ne3f98e97144e44b08b03109de27c6a76 rdf:first impact_factor_wos
    116 rdf:rest rdf:nil
    117 Ne5d9799387a14a7e876d0ccbce781ded schema:author N5e74dc85b98147adbbad2729b5b766a3
    118 schema:dateCreated 2014
    119 schema:ratingValue 0.777
    120 rdf:type schema:Rating
    121 Neb0070bc3b9642e5a4be69e209f81c59 rdf:first impact_factor_wos
    122 rdf:rest rdf:nil
    123 Nef77cf638a5145caa1a3b50902f0a4ac schema:name Springer Nature - SN SciGraph project
    124 rdf:type schema:Organization
    125 sg:ontologies/product-market-codes/P31070 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    126 schema:name Quantum Information Technology, Spintronics
    127 rdf:type schema:DefinedTerm
    128 sg:ontologies/product-market-codes/T24051 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    129 schema:name Signal,Image and Speech Processing
    130 rdf:type schema:DefinedTerm
     




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


    ...