SIGNAL PROCESSING - Czasopismo - MOST Wiedzy


Signal processing

ISSN: 0165-1684

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Punkty Ministerialne

Punkty Ministerialne
Lista Rok Punkty
A 2017 35
A 2016 30
A 2015 35
A 2014 30
A 2013 30
A 2011 25
A 2008 27


wszystkich: 6

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Katalog Czasopism

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


    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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  • A self-optimization mechanism for generalized adaptive notch smoother

    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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  • Multichannel self-optimizing narrowband interference canceller

    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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  • 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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