SIGNAL PROCESSING - Journal - MOST Wiedzy

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SIGNAL PROCESSING

ISSN:

0165-1684

eISSN:

1872-7557

Disciplines
(Field of Science):

  • Automation, electronic and electrical engineering (Engineering and Technology)
  • Information and communication technology (Engineering and Technology)
  • Biomedical engineering (Engineering and Technology)
  • Civil engineering and transport (Engineering and Technology)
  • Mechanical engineering (Engineering and Technology)
  • Computer and information sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2022 140 Ministry Scored Journals List 2019
Ministry points - previous years
Year Points List
2022 140 Ministry Scored Journals List 2019
2021 140 Ministry Scored Journals List 2019
2020 140 Ministry Scored Journals List 2019
2019 140 Ministry Scored Journals List 2019
2018 35 A
2017 35 A
2016 30 A
2015 35 A
2014 30 A
2013 30 A
2012 25 A
2011 25 A
2010 27 A
2009 27 A
2008 27 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2020 9.1
Points CiteScore - previous years
Year Points
2020 9.1
2019 8.8
2018 7.7
2017 7.1
2016 6.3
2015 5.4
2014 5
2013 5.1
2012 4.8
2011 3.7

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total: 9

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Catalog Journals

Year 2022
  • Adaptive identification of sparse underwater acoustic channels with a mix of static and time-varying parameters
    Publication

    - SIGNAL PROCESSING - Year 2022

    We consider identification of sparse linear systems with a mix of static and time-varying parameters. Such systems are typical in underwater acoustics (UWA), for instance, in applications requiring identi- fication of the acoustic channel, such as UWA communications, navigation and continuous-wave sonar. The recently proposed fast local basis function (fLBF) algorithm provides high performance when identi- fying time-varying systems....

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  • Finite-window RLS algorithms
    Publication

    - SIGNAL PROCESSING - Year 2022

    Two recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions of these algorithms. However, these two windows are not always the best choice for identification of fast time-varying systems, when the identification performance is most important. In this paper, we...

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  • Reversible data hiding in encrypted DICOM images using sorted binary sequences of pixels
    Publication

    In this paper, a novel reversible data hiding method for encrypted DICOM images is proposed. The method utilizes binary decomposition of the input data paired with a sorting process of the obtained binary sequences to ensure efficient data embedding in each predefined data block for specific most significant bit (MSB) planes while exploiting the properties of run-length encoding. The proposed scheme is lossless, and based on the...

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Year 2018
  • A fast time-frequency multi-window analysis using a tuning directional kernel
    Publication

    - SIGNAL PROCESSING - Year 2018

    In this paper, a novel approach for time-frequency analysis and detection, based on the chirplet transform and dedicated to non-stationary as well as multi-component signals, is presented. Its main purpose is the estimation of spectral energy, instantaneous frequency (IF), spectral delay (SD), and chirp rate (CR) with a high time-frequency resolution (separation ability) achieved by adaptive fitting of the transform kernel. We...

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Year 2016
  • A self-optimization mechanism for generalized adaptive notch smoother
    Publication

    Tracking of nonstationary narrowband signals is often accomplished using algorithms called adaptive notch filters (ANFs). Generalized adaptive notch smoothers (GANSs) extend the concepts of adaptive notch filtering in two directions. Firstly, they are designed to estimate coefficients of nonstationary quasi-periodic systems, rather than signals. Secondly, they employ noncausal processing, which greatly improves their accuracy and...

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Year 2015
Year 2014
  • Multichannel self-optimizing narrowband interference canceller
    Publication

    The problem of cancellation of a nonstationary sinusoidal interference, acting at the output of an unknown multivariable linear stable plant, is considered. No reference signal is assumed to be available. The proposed feedback controller is a nontrivial extension of the SONIC (self-optimizing narrowband interference canceller) algorithm, developed earlier for single-input, single-output plants. The algorithm consists of two loops:...

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Year 2010
  • Reduction of parasitic pitch variations in archival musical recordings

    A new method for reducing parasitic pitch variations in archival audio recordings is presented. The method is intended for analyzing movie soundtracks recorded in optical films. It utilizes image processing for calculating and reducing effects of tape shrinkage being one of the main reasons for parasitic pitch variations in audio accompanying moving images. As long as the film tape characteristics are known the new method can be...

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Year 2008
  • A low complexity double-talk detector based on the signal envelope

    A new algorithm for double-talk detection, intended for use in the acoustic echo canceller for voice communication applications, is proposed. The communication system developed by the authors required the use of a double-talk detection algorithm with low complexity and good accuracy. The authors propose an approach to doubletalk detection based on the signal envelopes. For each of three signals: the far-end speech, the microphone...

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