Title :
Phase in speech and pictures
Author :
Oppenheim, Alan V. ; Lim, Jae S. ; Kopec, Gary ; Pohlig, Stephen C.
Author_Institution :
Massachusetts Institute of Technology, Lexington, Massachusetts
Abstract :
It is generally known that preservation of phase information in images is important as evidenced by the fact that modifying an image such that phase is preserved but the magnitude of all the spectral components is set to unity generally preserves many of the features of the original image. A similar experiment has been carried out with speech, showing that preservation of only the long-time phase retains many important features of the original speech. An interpretation of these results, and their potential application to blind deconvolution, is suggested.
Keywords :
Additive noise; Convolution; Filtering; Fourier transforms; Frequency; Image recognition; Printing; Signal processing; Spectrogram; Speech;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170798