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dc.contributor.authorHoyer, E.A.en_US
dc.contributor.authorStork, R.en_US
dc.identifier.citationHoyer, E.; Stork, R.; , "The zoom FFT using complex modulation," Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77. , vol.2, no., pp. 78- 81, May 1977 doi: 10.1109/ICASSP.1977.1170177en_US
dc.descriptionThe full text of this article is not available on SOAR. WSU users can access the article via IEEE Xplore database licensed by University Libraries:
dc.description.abstractA recent paper by Yip discussed the zoom transform as derived from the defining equation of the FFT. This paper simplifies the concepts and removes some of the restrictions assumed by Yip; ie., the total number of points need not be a power of 2. The technique is based on first specifying the desired center frequency, bandwidth, and frequency resolution. The signal is then sampled, modulated, and lowpass filtered. This result is purposely aliased, then transformed using an FFT algorithm. The result is an M-point frequency spectra of the desired bandwidth centered about the center frequency with a higher degree of resolution than could be directly obtained using an M-point transform.en_US
dc.relation.ispartofseriesAcoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '77. , vol.2, no., pp. 78- 81en_US
dc.subjectDiscrete Fourier transformsen_US
dc.subjectDiscrete transformsen_US
dc.subjectFast Fourier transformsen_US
dc.subjectSampling methodsen_US
dc.subjectSignal resolutionen_US
dc.subjectSpectral analysisen_US
dc.subjectSpeech analysisen_US
dc.titleThe zoom FFT using complex modulationen_US
dc.typeConference paperen_US
dc.description.versionPeer reviewed articleen_US
dc.rights.holder© IEEE,1977en_US

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