Name
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 |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/78.193207 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
multiplicative constant,richer information,fourier analysis,image matching,completeness,stable result,zero crossing,image reconstruction,wfp-based image matching,signal reconstruction,windowed fourier phase,fourier transforms,image recognition,signal processing,frequency,band pass filters | Iterative reconstruction,Signal processing,Fourier analysis,Multiplicative function,Mathematical analysis,Control theory,Algorithm,Fourier transform,Harmonic analysis,Completeness (statistics),Mathematics,Signal reconstruction | Journal |
Volume | Issue | ISSN |
41 | 2 | 1053-587X |
Citations | PageRank | References |
4 | 0.55 | 8 |
Authors | ||
1 | ||