Biorthogonal Wavelet Filtration of Signals Used in the Industrial Automation Systems
Mariyana Todorova, Reneta Parvanova
Abstract
Mariyana Todorova, Reneta Parvanova
Abstract
Compared to orthogonal wavelets, biorthogonal wavelet functions allow more degrees of freedom. In the present work the application of biorthogonal and reverse biorthogonal functions for signal filtration is analyzed. Signals with high notch noise-to-signal ratio are filtered. The obtained results are compared based on different criteria, and corresponding conclusions are made.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Compared to orthogonal wavelets, biorthogonal wavelet functions allow more degrees of freedom. In the present work the application of biorthogonal and reverse biorthogonal functions for signal filtration is analyzed. Signals with high notch noise-to-signal ratio are filtered. The obtained results are compared based on different criteria, and corresponding conclusions are made.
Key concepts: Biorthogonal system, Biorthogonal wavelet, Wavelet, SIGNAL (programming language), Mathematics, Filtration (mathematics), Wavelet transform, Orthogonal wavelet