A pulse noise detection algorithm using phase scattering

• Autorzy: Kardasz P.

Identyfikatory

DOI

10.21008/j.1897-0737.2017.91.0016

• Konferencja: Computer Applications in Electrical Engineering (10-11.04.2017 ; Poznań, Polska)
• Języki publikacji: EN

Abstrakty

EN

One of the most difficult problems that appears during the process of archival sound restoration is the detection and reduction of the pulse type noise. This kind of noise is the result of contamination or damage to the analog record material. Pulse interference detection algorithms are prone to false positive results. Therefore, to ensure high reliability of the pulse detection process, more than one algorithm should be used and then the results of these algorithms should be analyzed using advanced methods, including intelligent algorithms. The paper presents the pulse detection algorithm based on the phase scattering. Since the Dirac impulse and white noise have the same amplitude part of their spectra, the phase scattering transforms the pulse to the noise. Then a pulse can be detected by comparing the envelope of the original and processed signals. The proposed algorithm has been tested using synthetic test signals as well as a fragment of the archival recording on the damaged record. The directions of further research are outlined.

Słowa kluczowe

EN

signal processing; audio reconstruction; noise reduction

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2017
• Tom: No. 91
• Strony: 165--173
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Kardasz P.

• Bialystok University of Technology

Bibliografia

• [1] Czyżewski A., Kupryjanow A., Kostek B., Online Sound Restoration for Digital Library Applications, Intelligent Tools for Building a Scientific Information Platform, Springer–Verlag, 2012.
• [2] Kardasz P., Wykorzystanie metod nierównomiernego próbkowania i inteligentnych algorytmów przetwarzania sygnałów do rekonstrukcji archiwalnych nagrań dźwięku. PhD dissertation, Bialystok University of Technology, Department of Electrical Engineering, Bialystok, 2016 (in Polish).
• [3] Kardasz P., The algorithm for the impulse noise detection in archival recordings on analog records, Poznan University of Technology Academic Journals. Electrical Engineering, Nr 84 (2015), pp. 225–230 (in Polish).
• [4] Czyżewski A., Learning Algorithms for Audio Signal Enhancement, Part 1: Neural Network Implementation for the Removal of Impulse Distortions, JAES, Volume 45, Issue 10, October 1997, pp. 815–831.
• [5] Zieliński T.P., Cyfrowe przetwarzanie sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa 2005 (in Polish).
• [6] Chu P.P., FPGA Prototyping by Verilog Examples, Wiley, 2008.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).

Publikację sfinansowano ze środków na naukę MNiSW w ramach pracy statutowej S/WE/1/