Title :
Signal compression based on zonal selection methods
Author :
Dziech, Wiera ; Baran, Remigiusz ; Wiraszka, Dorota
Author_Institution :
Kielce Univ. of Technol., Poland
Abstract :
Compression of signals in the spectral domain consists of the rejection of related transform coefficients and reconstruction of signals by inverse transforms. There exist two basic methods used to select coefficients to be transmitted: threshold selection and zonal selection. In threshold selection the reconstruction is made with a subset of coefficients that are larger than a specified threshold. In the zonal method the reconstruction is made with a subset of coefficients lying in a predetermined zone. Only those coefficients are selected for further processing, the remaining coefficients are set to zero. In this paper, zonal compression techniques performed on chosen signals using different transforms are investigated. The mean square error (MSE) is used as a measure of signal reconstruction quality. Plots of the MSE versus compression percentage are included for comparison of methods
Keywords :
Haar transforms; Walsh functions; data compression; mean square error methods; piecewise linear techniques; signal reconstruction; spectral-domain analysis; transform coding; transforms; Haar functions; MSE; Walsh functions; digital signal compression; inverse transforms; mean square error; piecewise linear functions; signal reconstruction; spectral domain; threshold selection; zonal selection methods; Bit rate; Fourier transforms; Mean square error methods; Piecewise linear techniques; Signal analysis; Signal processing; Signal reconstruction; Transform coding; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 2000. MMET 2000. International Conference on
Conference_Location :
Kharkov
Print_ISBN :
0-7803-6347-7
DOI :
10.1109/MMET.2000.888563
