dr inż. Marcin Ciołek
- Adiunkt at Department of Automatic Control
- adaptive signal processing
- outlier detection and elimination
- sparse autoregressive models
- elimination of clicks
- elimination of impulsive disturbances
- identification of nonstationary processes determination of estimation bandwidth model order selection
- restoration of audio signals
- adaptive estimation
- adaptive kalman filtering
- adaptive signal processing.
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In this application-oriented paper we consider the problem of elimination of impulsive disturbances, such as clicks, pops and record scratches, from archive audio recordings. The proposed approach is based on bidirectional processing—noise pulses are localized by combining the results of forward-time and backward-time signal analysis. Based on the results of specially designed empirical tests (rather than on the results of theoretical analysis),...
When estimating the correlation/spectral structure of a locally stationary process, one has to make two important decisions. First, one should choose the so-called estimation bandwidth, inversely proportional to the effective width of the local analysis window, in the way that complies with the degree of signal nonstationarity. Too small bandwidth may result in an excessive estimation bias, while too large bandwidth may cause excessive...
Elimination of Impulsive Disturbances From Stereo Audio Recordings Using Vector Autoregressive Modeling and Variable-order Kalman Filtering
This paper presents a new approach to elimination of impulsive disturbances from stereo audio recordings. The proposed solution is based on vector autoregressive modeling of audio signals. Online tracking of signal model parameters is performed using the exponential ly weighted least squares algo- rithm. Detection of noise pulses an d model-based interpolation of the irrevocably distorted sampl es is realized using an adaptive, variable-order...
Obtained scientific degrees/titles
Obtained science degreedr inż. Automatic control and robotics (Technology)
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