Adaptive thresholding of DFT coefficients based on probability distribution of additive noise

Authors:
Ondrej Raso;Miroslav Balik
Affiliations:
Department of Telecommunications, The Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic;Department of Telecommunications, The Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
Venue:
WSEAS Transactions on Signal Processing
Year:
2009

Citing 5
Cited 0

Topics in Acoustic Echo and Noise Control: Selected Methods for the Cancellation of Acoustical Echoes, the Reduction of Background Noise, and Speech Processing (Signals and Communication Technology)

Topics in Acoustic Echo and Noise Control: Selected Methods for the Cancellation of Acoustical Echoes, the Reduction of Background Noise, and Speech Processing (Signals and Communication Technology)
Design and implementation of digital FIR equiripple notch filter on ECG signal for removal of power line interference

WSEAS Transactions on Signal Processing
Inharmonic dispersion tunable comb filter design using modified IIR band pass transfer function

WSEAS Transactions on Signal Processing
A locally tuned nonlinear technique for color image enhancement

WSEAS Transactions on Signal Processing
Analytical solution of spectrum changes in simple nonlinear systems without memory, used in digital audio signal processing

CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The proposed method of adaptive thresholding uses probability distribution of additive noise signal, by which the input signal is corrupted. The additive noise with non-uniformly distributed power spectral density can be reduced via normalization process. The method is focused on musical signal corrupted by the noise with relative high input signal-to-noise ratio ranging between 20 and 30 dB. The method uses the thresholding of coefficients of Discrete Fourier transform (DFT). Minimal signal distortion should be introduced by this method. In conclusion the method is tested for noise reduction efficiency and size of degradation of processed signal.