Signal processing in the mixed time-frequency domain using svd and Wigner-Ville transform techniquesTomasz ZielinskiBorislav D Donevsky
applies frequency 2108 THE BELL SYSTEM TECHNICAL JOURNAL, NOVEMBER 1981 Once the pitch is known, the time-domain operations are simple and result in good quality scaled and reconstructed speech." Frequency- domain techniques are typically much more complex but do not require explicit pitch tracking....
For instance, spectral clustering can be shown to be using filters in the GFT domain [67] and, combining that with graph sampling techniques, efficient algorithms have been developed [44], [68]. Multiscale representations offered by spectral graph wavelets lead to the development of new multi...
since linear filtering and enhancement (Chapters 10 and 11), restoration (Chapter 14), and reconstruction (Chapter 25) all depend on these concepts, as do concepts and applications of wavelet-based image processing (Chapters 6 and 11) which extend the ideas of Fourier techniques in very powerful...
transform based on wavelet over-lap save convo- lution (WOSC) and wavelet overlap-add convolution (WOAC) techniques [6], SegWT, is naturally to allow signal processing by its segment, so that in this manner we get the same result (same wavelet coefficients) as in the ordinary DTWT case...
Some extensions of these techniques to the more general case of non stationary operation have been proposed. They are based on signal processing advances such as time–frequency representations and adaptive filtering. The technique proposed in this paper is based on the observation that, when under ...
Recent advances in techniques for hyperspectral image processing. Remote Sensing of Environment 113, S110–S122 (2009). Article Google Scholar Kim, I. H. et al. A simple, sensitive and non-destructive technique for characterizing bovine dental enamel erosion:attenuated total reflection Fourier ...
FFT is also sometimes used as an intermediate step for more complex signal processing techniques. In image processing, FFT is used for filtering and image compression. FFT is also used in physics and mathematics to solve partial differential equations (PDEs)....
The signal is contaminated by various level of white Gaussian noises to estimate the Rényi entropy as shown in Figure 7. The STFT is the grey curve on the top. It has the highest entropy value suggesting the worst signal energy concentration among the four TFA techniques. The TSET and SET...
voltageof 1.8V. The implementation results show that the proposed architectures significantly reduces thehardware costandpower consumptionin comparison to existing 64-point FFT architectures. Introduction Orthogonal frequency-division multiplexing (OFDM) [1] is one of the techniques for parallel transmission...