SPEECH SIGNAL RECONSTRU BASED ON HIGHER ORDER SP
S. Seetharaman · 1988
Reconstruction of a signal from its Fourier Transform information, phase and magnitude, has been of interest in many signal processing and other related applications. Most of the work reported is based on second order statistics such he autocorrelation analysis and is “phase-blind” in that phase-information is not retained. In many applications ase information of a signal or a system is more important. When the signal is a mini ase or maximum-phase, and under other sets of conditions different from minimum or maximum phase, the n be reconstructed to within a scale factor from phase. Results on exact reconstruction of a signal f artial Fourier Transform information are summariz