New dimensions in wavelet analysis
Richard G. Baraniuk, Douglas L. Jones
Abstract
Richard G. Baraniuk, Douglas L. Jones
Abstract
A new class of signal analysis tools that generalizes the popular wavelet and short-time Fourier transforms is introduced. The class allows skews and rotations of the analyzing wavelet in the time-frequency plane, in addition to the time and frequency translations and scalings used by conventional transforms. In addition to providing a unifying framework for studying existing time-frequency representations, the general class provides a systematic method for designing new representations with properties useful for certain types of signals.>
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A new class of signal analysis tools that generalizes the popular wavelet and short-time Fourier transforms is introduced. The class allows skews and rotations of the analyzing wavelet in the time-frequency plane, in addition to the time and frequency translations and scalings used by conventional transforms. In addition to providing a unifying framework for studying existing time-frequency representations, the general class provides a systematic method for designing new representations with properties useful for certain types of signals.>
Key concepts: Wavelet, Class (philosophy), Computer science, Time–frequency analysis, Wavelet transform, Fourier transform, SIGNAL (programming language), Signal processing