Title :
Windowed Fourier phase: completeness and signal reconstruction
fDate :
2/1/1993 12:00:00 AM
Abstract :
It is established that a signal, either continuous or discrete, is determined up to a multiplicative constant by its windowed Fourier phase (WFP) at any frequency. This result indicates that the WFP contains richer information than zero crossings and peaks. It also provides insight into why WFP-based image matching may achieve highly accurate and stable results. To experimentally demonstrate the completeness of the WFP, an algorithm is developed to reconstruct signals from the WFP
Keywords :
Fourier analysis; image reconstruction; completeness; image matching; multiplicative constant; signal reconstruction; windowed Fourier phase; Band pass filters; Filtering theory; Fourier transforms; Frequency; Image matching; Image recognition; Image reconstruction; Signal processing; Signal reconstruction; Stereo image processing;
Journal_Title :
Signal Processing, IEEE Transactions on
