Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Pavol DOLINSKÝ"'
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 3, Pp 3-8 (2018)
This paper proposes a mathematical model for generating synthetic artificial ECG signal based on geometrical features of a real ECG signal. By variation of its parameters each particular wave of PQRST complex can be adjusted as needed allowing the g
Externí odkaz:
https://doaj.org/article/54dfd090b3f243618b0de80e958ed7a1
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
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
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
Publikováno v:
Acta Electrotechnica et Informatica, Vol 18, Iss 3, Pp 3-8 (2018)
This paper proposes a mathematical model for generating synthetic artificial ECG signal based on geometrical features of a real ECG signal. By variation of its parameters each particular wave of PQRST complex can be adjusted as needed allowing the ge