Comments on "A high-resolution quadratic time-frequency distribution for multicomponent signals analysis"
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A high-resolution quadratic time-frequency distribution for multicomponent signals analysis
The paper introduces a new kernel for the design of a high resolution time–frequency distribution (TFD). We show that this distribution can solve problems that the Wigner–Ville distribution (WVD) or the spectrogram cannot. In particular, the proposed distribution can resolve two close signals in the time–frequency domain that the two other distributions cannot. Moreover, we show that the propos...
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This paper presents the essential elements for developing objective methods of assessment of the performance of time-frequency signal analysis techniques. We define a measure for assessing the resolution performance of time-frequency distributions (TFDs) in separating closely spaced components in the time-frequency domain. The measure takes into account key attributes of TFDs, such as component...
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In this paper, we propose a novel time-frequency distribution (TFD) for the analysis of multi-component signals. In particular, we use synthetic as well as real-life speech signals to prove the superiority of the proposed TFD in comparison to some existing ones. In the comparison, we consider the cross-terms suppression and the high energy concentration of the signal around its instantaneous fr...
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Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...
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High-resolution time-frequency (TF) images of multicomponent signals are of great interest for visualization, feature extraction and estimation. The matched Gaussian multitaper spectrogram has been proposed to optimally resolve multicomponent transient functions of Gaussian shape. Hermite functions are used as multitapers and the weights of the different spectrogram functions are optimized. For...
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عنوان ژورنال:
- IEEE Trans. Signal Processing
دوره 52 شماره
صفحات -
تاریخ انتشار 2004