Wolf population counting by spectrogram image processing

DOI10.1016/j.amc.2006.08.173zbMath1138.68631OpenAlexW1972155885MaRDI QIDQ876668

N. E. Zubov

Publication date: 26 April 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.08.173

zbMATH Keywords

noiseimage processingpartial differential equationinstantaneous frequencyspectrogrampopulation countingtime--frequency distribution

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Partial functional-differential equations (35R10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computer-aided design (modeling of curves and surfaces) (65D17)

Related Items

On a nonlocal spectrogram for denoising one-dimensional signals ⋮ Rearranged nonlocal filters for signal denoising ⋮ Implementation of a diffusive differential reassignment method for signal enhancement: an application to wolf population counting

Cites Work

• Unnamed Item
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• Adaptive spectrogram vs. adaptive pseudo-Wigner-Ville distribution for instantaneous frequency estimation
• An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment
• Nonnegative time-frequency distributions for parametric time-frequency representations using semi-affine transformation group
• On the Behavior of Minimax Relative Error FIR Digital Differentiators
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion. II
• User’s guide to viscosity solutions of second order partial differential equations
• A Mathematical Study of the Relaxed Optical Flow Problem in the Space $BV (\Omega)$
• IF estimation using higher order TFRs
• Dolphin whistle classification for determining group identities

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