Denoising of degraded audio signals using wavelet analysis

Aksu, Emre Barış


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Denoising and Outlier Removal from Permanent Downhole Gauge Using Nonlinear Regression Methods
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Disaggregation of time series data.
Sürmeli, M. Cengiz; Department of Economics (1979)
Denoising and guided upsampling of Monte Carlo pathtraced low resolution renderings
Alpay, Kadir Cenk; Akyüz, Ahmet Oğuz; Department of Computer Engineering (2021-2-15)
Monte Carlo path tracing is used to generate renderings by estimating the rendering equation using the Monte Carlo method. An extensive amount of ray samples per pixel is needed to be cast during this rendering process to create an image with a low enough variance to be considered visually noise-free. Casting that amount of samples requires an expensive time budget. Many studies focus on rendering a noisy image at the original resolution with a decreased sample count and then applying a post-process denoisi...
Stochastic modeling of biochemical systems with filtering and smoothing
Haksever, Merve; Uğur, Ömür; Department of Scientific Computing (2019)
Deterministic modeling approach is the traditional way of analyzing the dynamical behavior of a reaction network. However, this approach ignores the discrete and stochastic nature of biochemical processes. In this study, modeling approaches, stochastic simulation algorithms and their relationships to each other are investigated. Then, stochastic and deterministic modeling approaches are applied to biological systems, Lotka-Volterra prey-predator model, Michaelis-Menten enzyme kinetics and JACK-STAT signalin...
Citation Formats
E. B. Aksu, “Denoising of degraded audio signals using wavelet analysis,” Middle East Technical University, 1998.