Publications
Talk · IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering · January 1, 2018
Application of adaptive matching based on wavelets for spectral analysis of signals
Dmitrii Kaplun, Dmitry M. Klionskiy, Alexander S. Voznesensky
Abstract
In this paper we will discuss the matching pursuit algorithm and its application for spectral analysis of signals. We will illustrate several experiments with different algorithm parameters. Also we will estimate the performance time for different algorithm modifications and parameters.
Mathematical Analysis and Transform MethodsSparse and Compressive Sensing TechniquesDigital Filter Design and Implementationmatching pursuitwavelet transformspectral analysis
More by Dmitry Kaplun
- Codewithsayanjib/slm-systematic-review: v1.1Zenodo · 2026
- Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosisScientific Data · 2026
- Microscopy Image Dataset of pulmonary vessels for Deep Learning-Based Quantitative assessment of fibrosisFigshare · 2026
- MA2MU-Net++: A Mahalanobis distance and Ackley function based multi-modal U-Net++ model for breast nuclei segmentation in histopathology imagesBiomedical Signal Processing and Control · 2026
