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- W1440546804 abstract "Transformation of signals to the frequency domain is widely used in signal processing. This chapter highlights the widely used frequency domain transformations, which include fast Fourier transform (FFT), short-time Fourier transform (STFT), and discrete wavelet transform (DWT). These transformations provide an effective representation and much more computationally efficient processing of signals as compared to time domain processing. In order to obtain fast and real-time implementation of Discrete Fourier transform (DFT), FFT algorithm is used, which essentially makes use of the symmetry properties of DFT. STFT is defined as a sequence of Fourier transforms of a windowed signal. It provides the time localized frequency information for situations when frequency components of a signal vary over time. DWT offers a generalization of STFT and can be viewed as the projection of a signal into a set of basic functions named wavelets. In contrast to STFT having equally-spaced time-frequency localization, wavelet transform provides high frequency resolution at low frequencies and high time resolution at high frequencies." @default.
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- W1440546804 date "2005-01-01" @default.
- W1440546804 modified "2023-09-24" @default.
- W1440546804 title "Frequency Domain Processing" @default.
- W1440546804 doi "https://doi.org/10.1016/b978-075067914-5/50014-3" @default.
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