Search results for: BIOMEDICAL SIGNAL PROCESSING

• International Journal of Image, Graphics and Signal Processing

  Journals

  ISSN: 2074-9074

• IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING

  Journals

  ISSN: 1350-245X

• IEEE Journal of Selected Topics in Signal Processing

  Journals

  ISSN: 1932-4553 , eISSN: 1941-0484

• Case Studies in Mechanical Systems and Signal Processing

  Journals

  eISSN: 2351-9886

• Journal of Information Hiding and Multimedia Signal Processing

  Journals

  ISSN: 2073-4212

• International Journal of Circuits, Systems and Signal Processing

  Journals

  ISSN: 1998-4464

• Sampling Theory, Signal Processing, and Data Analysis

  Journals

  ISSN: 2730-5716 , eISSN: 2730-5724

• EVALUATION OF LIQUID-GAS FLOW IN PIPELINE USING GAMMA-RAY ABSORPTION TECHNIQUE AND ADVANCED SIGNAL PROCESSING

  Publication

  • R. Hanus
  • M. Zych
  • V. Mosorov
  • A. Golijanek-Jędrzejczyk
  • M. Jaszczur
  • A. Andruszkiewicz

  - Metrology and Measurement Systems - Year 2021

  Liquid-gas flows in pipelines appear in many industrial processes, e.g. in the nuclear, mining, and oil industry. The gamma-absorption technique is one of the methods that can be successfully applied to study such flows. This paper presents the use of thegamma-absorption method to determine the water-air flow parameters in a horizontal pipeline. Three flow types were studied in this work: plug, transitional plug-bubble,...

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• MATCHED FILTER APPROACH FOR MICROSEISMIC SIGNAL PROCESSING OF REAL DATA FROM EAST POMERANIA SHALE GAS

  Publication

  • M. Kmieć
  • M. Antoszkiewicz
  • R. Jankowski
  • M. Szkodo

  - Year 2017

  The microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing (HF)process. An array of several hundred geophones is placed on the surface to record little ground tremors induced by fracturing process. Filtration and summation of signals from geophones is essential to identify and locate fracturing events from underground. Authors propose a method of matched filtering, that is usually...

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• Efficient FPGA Implementation of an RFIR Filter Using the APC–OMS Technique with WTM for High-Throughput Signal Processing

  Publication

  • K. Satish Reddy
  • S. Madhavan
  • P. Falkowski-Gilski
  • P. B. Divakarachari
  • A. Mathiyalagan

  - Electronics - Year 2022

  Nowadays, Finite Impulse Response (FIR) filters are used to change the attributes of a signal in the time or frequency domain. Among FIR filters, a reconfigurable filter has the advantage of changing the coefficient in real-time, while performing the operation. In this paper, the Anti-Symmetric Product Coding (APC) and Odd Multiple Storage (OMS) modules are utilized to implement the reconfigurable FIR filter (RFIR–APC–OMS). Herein,...

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• IEEE Transactions on Signal and Information Processing over Networks

  Journals

  ISSN: 2373-776X

• Institute of Electrical and Electronics Engineers Signal Processing Magazine

  Journals

  ISSN: 1053-5888 , eISSN: 1558-0792

• The Processing Procedure for the Interpretation of Microseismic Signal Acquired from a Surface Array During Hydraulic Fracturing in Pomerania Region in Poland

  Publication

  • M. Antoszkiewicz
  • M. Kmieć
  • P. Szewczuk
  • M. Szkodo
  • R. Jankowski

  - Year 2017

  Hydraulic fracturing is a procedure of injecting high pressure fluid into the wellbore in order to break shell rock and facilitate gas flow. It is a very costly procedure and, if not conducted properly, it may lead to environmental pollution. To avoid costs associated with pumping fluid outside the perspective (gas rich) zone and improve one’s knowledge about the reservoir rock, microseismic monitoring can be applied. The method...

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• Signal Receiving and Processing Platform of the Experimental Passive Radar for Intelligent Surveillance System Using Software Defined Radio Approach

  Publication

  • B. Szlachetko
  • A. Lewandowski

  - Year 2010

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• <title>Measurements of SIMCON 3.1 LLRF control signal processing quality for VUV free-electron laser FLASH</title>

  Publication

  • R. Pietrasik
  • W. Giergusiewicz
  • W. Jalmuzna
  • K. Pozniak
  • R. Romaniuk
  • S. Simrock
  • R. S. Romaniuk

  - Year 2006

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• System przetwarzania i wizualizacji sygnału mowy dla potrzeb lingwistycznych = System of speech signal processing and visualisation of the results

  Publication

  • Z. Wojan
  • W. Lis
  • K. Wojan

  - Year 2005

  W artykule przedstawiono sposób przetwarzania i wizualizacji sygnału mowy w formie prostego w obsłudze i relatywnie niedrogiego urządzenia do nagrywania sygnału akustycznego oraz przetwarzania cyfrowego wyselekcjonowanych fragmentów i wizualizacji uzyskanych rezultatów przekształceń. Zastosowano do tego celu komputer z kartą dźwiękową. Przetwarzanie cyfrowe oraz wizualizacja dokonywana była w oparciu o program MATLAB bezpośrednio...

• INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

  Journals

  ISSN: 0890-6327 , eISSN: 1099-1115

• System przetwarzania i wizualizacji sygnału mowy dla potrzeb lingwistycznych [A system of speech signal processing and visualisation for linguistic purposes]

  Publication

  • K. Wojan

  - Year 2005

• ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING

  Journals

  ISSN: 0925-1030 , eISSN: 1573-1979

• Contactless Hearing Aid for Infants Employing Signal Processing Algorithms. [Bezkontaktowy aparat słuchowy dla niemowląt wykorzystujący algorytmy przetwarzania sygnału]

  Publication

  • M. Kulesza
  • P. Dalka
  • B. Kostek

  - Year 2006

  Zaprojektowany bezkontaktowy aparat słuchowy umiejscawiany jest w łóżeczku niemowlęcia. Aparat składający się z matrycy 4 mikrofonów oraz prototypowej karty z procesorem DSP pracuje w polu swobodnym. Przetworzony sygnał mowy emitowany jest z wykorzystaniem miniaturowych głośników. Opracowane algorytmy pozwalają na elminację akustycznych sprzężeń zwrotnych, które mogą wystepować ze względu na niewielką odległość mikrofonów od głośników...

• Journal of Signal Processing Systems for Signal Image and Video Technology

  Journals

  ISSN: 1939-8018 , eISSN: 1939-8115

• IET Signal Processing

  Journals

  ISSN: 1751-9675 , eISSN: 1751-9683

• Instrumentation optical fibres for wave transformation, signal processing, sensors, and photonic functional components, manufactured at Białystok University of Technology in Dorosz Fibre Optics Laboratory

  Publication

  • R. Romaniuk
  • R. S. Romaniuk

  - Bulletin of the Polish Academy of Sciences Technical Sciences - Year 2014

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• Signal Image and Video Processing

  Journals

  ISSN: 1863-1703 , eISSN: 1863-1711

• Digital Signal Processing

  e-Learning Courses

  • T. Stefański

• Research on methods for detecting respiratory rate from photoplethysmographic signal

  Publication

  • P. Kuwalek
  • B. Burlaga
  • W. Jesko
  • P. Konieczka
  • P. Kuwałek

  - Biomedical Signal Processing and Control - Year 2021

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• Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps

  Publication

  • M. Troka
  • W. Wojnicz
  • K. Szepietowska
  • M. Podlasiński
  • S. Walerzak
  • K. Walerzak
  • I. Lubowiecka

  - Biomedical Signal Processing and Control - Year 2022

  The study considers the need for an effective method of classification of patients with a temporomandibular joint disorder (TMD). The self-organising map method (SOM) was applied to group patients and used together with the cross-correlation approach to interpret the processed (rectified and smoothed by using root mean square (RMS) algorithm) surface electromyography signal (sEMG) obtained from testing the muscles (two temporal...

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• Transfer learning in imagined speech EEG-based BCIs

  Publication

  • J. S. Garcia Salinas
  • L. Villaseñor-Pineda
  • C. A. Reyes-Garćia
  • A. A. Torres-García

  - Biomedical Signal Processing and Control - Year 2019

  The Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...

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• Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition

  Publication

  • J. S. Garcia Salinas
  • A. A. Torres-García
  • C. A. Reyes-Garćia
  • L. Villaseñor-Pineda

  - Biomedical Signal Processing and Control - Year 2023

  Brain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....

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• Towards classification of patients based on surface EMG data of temporomandibular joint muscles using self-organising maps

  Publication

  • M. Troka
  • W. Wojnicz
  • K. Szepietowska
  • M. Podlasiński
  • S. Walerzak
  • K. Walerzak
  • I. Lubowiecka

  - Biomedical Signal Processing and Control - Year 2022

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• Expert system against machine learning approaches as a virtual sensor for ventricular arrhythmia risk level estimation

  Publication

  • S. García-Galán
  • J. A. Cabrera-Rodriguez
  • F. J. Maldonado-Carrascosa
  • N. Ruiz-Reyes
  • M. Szczerska
  • P. Vera-Candeas
  • F. D. Gonzalez-Martinez
  • F. J. Canadas-Quesada
  • A. J. Cruz-Lendinez

  - Biomedical Signal Processing and Control - Year 2025

  Recent advancements in machine learning have opened new avenues for preventing fatal ventricular arrhythmia by accurately measuring and analyzing QT intervals. This paper presents virtual sensor based on an expert system designed to prevent the risk of fatal ventricular arrhythmias associated with QT-prolonging treatments. The expert system categorizes patients into three risk levels based on their electrocardiogram-derived QT...

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• Signal Processing: An International Journal (SPIJ)

  Journals

  ISSN: 1985-2339

• European Signal Processing Conference

  Conferences

• Digital Signal Processing - 22/23

  e-Learning Courses

  • T. Stefański

   Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

• Digital Signal Processing-23/24

  e-Learning Courses

   Po ukończeniu kursu, student projektuje podstawowe algorytmy cyfrowego przetwarzania sygnałów - filtrów cyfrowych FIR i IIR, i estymuje widmo za pomocą FFT.Student opisuje architektury i ścieżki danych procesorów stało-przecinkowych i zmienno-przecinkowych. Student tłumaczy podstawy arytmetyki procesorów i podaje przykłady zastosowań.

• International Conference on Image and Signal Processing

  Conferences

• International Workshop on Multimedia Signal Processing

  Conferences

• International Conference on Information, Communications and Signal Processing

  Conferences

• IEEE International Conference on Acoustics, Speech and Signal Processing

  Conferences

• IEEE Symposium on Computational Intelligence in Image and Signal Processing

  Conferences

• International Conference on Advanced Technologies For Signal & Image Processing

  Conferences

• IEEE International Workshop on Neural Networks for Signal Processing

  Conferences

• IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing

  Journals

  ISSN: 1057-7130

• IEEE Symposium on Computational intelligence for Multimedia Signal and Vision Processing

  Conferences

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

  Publication

  • G. Szwoch
  • A. Czyżewski
  • M. Kulesza

  - SIGNAL PROCESSING - Year 2008

  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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• Reduction of parasitic pitch variations in archival musical recordings

  Publication

  • A. Czyżewski
  • P. Maziewski
  • A. Kupryjanow

  - SIGNAL PROCESSING - Year 2010

  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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• A self-optimization mechanism for generalized adaptive notch smoother

  Publication

  • M. Meller

  - SIGNAL PROCESSING - Year 2016

  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

  Publication

  • M. Meller
  • M. Niedźwiecki

  - SIGNAL PROCESSING - Year 2014

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

  Publication

  • K. Czarnecki
  • D. Fourer
  • F. Auger
  • M. Rojewski

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

  Publication

  • M. Dzwonkowski
  • B. Czaplewski

  - SIGNAL PROCESSING - Year 2022

  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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