Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ján Šaliga"'
Publikováno v:
Sensors, Vol 21, Iss 10, p 3543 (2021)
A novel method of analog-to-information conversion—the random interval integration—is proposed and studied in this paper. This method is intended primarily for compressed sensing of aperiodic or quasiperiodic signals acquired by commonly used sen
Externí odkaz:
https://doaj.org/article/09c32f6989914446864b103d61990ff9
Publikováno v:
Measurement Science Review, Vol 19, Iss 1, Pp 35-42 (2019)
Compressive sensing is a processing approach aiming to reduce the data stream from the observed object with the inherent sparsity using the optimal signal models. The compression of the sparse input signal in time or in the transform domain is perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2fda8bfba0d5ed473d5b96b32de0b40
https://doi.org/10.2478/msr-2019-0006
https://doi.org/10.2478/msr-2019-0006
Publikováno v:
Sensors, Vol 21, Iss 3543, p 3543 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
A novel method of analog-to-information conversion—the random interval integration—is proposed and studied in this paper. This method is intended primarily for compressed sensing of aperiodic or quasiperiodic signals acquired by commonly used sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79db2d22119adf4b604c4692b881cce1
https://www.mdpi.com/1424-8220/21/10/3543
https://www.mdpi.com/1424-8220/21/10/3543
This work presents a novel unconventional method of signal reconstruction after compressive sensing. Instead of usual matrices, continuous models are used to describe both the sampling process and acquired signal. Reconstruction is performed by findi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93ec3ce46be095053f391a8e873314d3
https://zenodo.org/record/4638369
https://zenodo.org/record/4638369
Publikováno v:
Measurement Science Review, Vol 18, Iss 5, Pp 175-182 (2018)
This paper presents a way of acquiring a sparse signal by taking only a limited number of samples; sampling and compression are performed in one step by the analog to information conversion. The signal is recovered with minimal information loss from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c196f59a1528e494a4965fc8c79341
https://doaj.org/article/7132b5cd0707451b81056e16ef031ec8
https://doaj.org/article/7132b5cd0707451b81056e16ef031ec8
Publikováno v:
Measurement. 127:68-77
In this paper stochastic sampling as a method of frequency sparse signal acquisition is presented. Basic principle of compressed sensing is reviewed, with emphasis on nonuniform sampling and signal reconstruction methods. A robust time domain reconst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b136761ccd42596d36cd7c5f571c4ef0
https://doi.org/10.1016/j.measurement.2018.05.065
https://doi.org/10.1016/j.measurement.2018.05.065
Publikováno v:
Scopus-Elsevier
Compressed sensing (CS), due to its computational simplicity is a perspective data reduction technique for remote ECG monitoring applications. In this paper, a novel method of reconstruction for CS of ECG signal is proposed, which uses a time-normali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::609940b10b22b7df15dc7dbcef0bda18
https://doi.org/10.23919/measurement47340.2019.8779960
https://doi.org/10.23919/measurement47340.2019.8779960
Publikováno v:
ACTA IMEKO. 9:3
This article introduces a new electrocardiogram (ECG) signal model based on geometric signal properties. Instead of the artificial functions used in common ECG models, the proposed model is based on the modelling of real ECG signals divided into time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f5ffde7ad25186b424e8f777e228f6
https://doi.org/10.21014/acta_imeko.v9i2.760
https://doi.org/10.21014/acta_imeko.v9i2.760
Publikováno v:
2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA).
This paper presents an approach to QRS complex detection in ECG signals using Hilbert transform and zero-phase filters to locate the R wave peaks. A newly proposed peak equalization and normalization method is used for signal conditioning prior to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f33f987fde7e0b3a4800d4c3ac6c8cd
https://doi.org/10.1109/radioelek.2018.8376373
https://doi.org/10.1109/radioelek.2018.8376373
Publikováno v:
2018 28th International Conference Radioelektronika (RADIOELEKTRONIKA).
This article deals with beamforming in conjunction with 34mm diameter 7-element circular microphone array using MEMS microphones. The main possibilities provided by beamforming are reviewed with emphasis on speech sensing. Problems that are associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f56b75e1a86c24732f73f72037b9b5a
https://doi.org/10.1109/radioelek.2018.8376368
https://doi.org/10.1109/radioelek.2018.8376368