2D Wavelet Transform Based Compression of Pseudo-periodic Signals

Author

Mathew, Dominic ; Devassia, V.P. ; Thomas, Tessamma

Author_Institution

Dept. of Electron., CUSAT, Cochin, India

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

724

Lastpage

726

Abstract

This paper attempts to utilize the pitch synchronous property of Pseudo-periodic signals to increase the efficiency of compression, to minimize losses and thus to enhance the quality of the reconstruction. Results show higher signal to noise ratio, higher compression ratio and lower percentage distortion with the new method of 2-D compression as compared to 1-D compression. A new method is used for pitch peak detection of voiced signals using k-means clustering algorithm.

Keywords

pattern clustering; signal processing; wavelet transforms; 1D compression; 2D compression; 2D wavelet transform; k-means clustering algorithm; pitch peak detection; pitch synchronous property; pseudo-periodic signal; signal to noise ratio; voiced signals; Clustering algorithms; Communications technology; Discrete wavelet transforms; Educational institutions; Euclidean distance; Filters; Frequency; Signal resolution; Speech; Wavelet transforms; 2-D wavelet transform; Pitch Synchronous; compression; k-means clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.47

Filename

5328872