Title :
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
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;
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
DOI :
10.1109/ARTCom.2009.47
