Paper Info
Title
Signal transformation and interpolation based on modified DCT synthesis
Abstract
This paper proposes a novel signal transformation and interpolation approach based on the modification of DCT (Discrete Cosine Transform). The proposed algorithm can be applied to any periodic or quasi periodic waveform for time scale and/or pitch modification purposes in addition to signal reconstruction, compression, coding and packet lost concealment. The proposed algorithm has two advantages:(i)Since DCT does not have the explicit phase information, one does not need the cubic spline interpolation of the phase component of the sinusoidal model. (ii)The parameters to be interpolated can be reduced because of the energy packing efficiency of the DCT. This is particularly important if signal synthesis is carried out on a remote location from the transmitted parameters. The results are presented on periodic waveforms and on speech signal in order to appreciate the fidelity of the proposed algorithm. In addition, the proposed method is compared with TD-PSOLA, sinusoidal model and phase vocoder algorithms. The results are presented in objective PESQ scores for time scale modification and output files are provided as supplementary material, for subjective evaluation, for packet lost concealment. Results prove that the proposed modification of the DCT synthesis provides a favorable algorithm for specialists working in the signal processing area.
Year
DOI
Venue
2011
10.1016/j.dsp.2011.01.008
Digital Signal Processing
Keywords
Field
DocType
prototype interpolation,pitch modification,speech signal,sinusoidal model,proposed algorithm,proposed modification,signal synthesis,favorable algorithm,packet lost concealment,modified dct synthesis,signal reconstruction,duration modification,novel signal transformation,signal processing area,dct synthesis,signal processing,discrete cosine transform,cubic spline
Signal processing,Spline interpolation,Pattern recognition,Discrete cosine transform,Interpolation,Phase vocoder,Artificial intelligence,Sinusoidal model,Signal reconstruction,Mathematics,PESQ
Journal
Volume
Issue
ISSN
21
6
Digital Signal Processing
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
H. G. Ilk1176.13
Saadettin Güler2101.12