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A new method for linear FM (LFM) signals detection in the time-frequency plane using Teager-Huang Transform (THT) is proposed. Time-Frequency Representation (TFR) is viewed as an image where image processing techniques are applied to detect frequency patterns of interest. THT is used in conjunction with Hough Transform (HgT) called (THHT), where the output is a TFR free of cross-terms. THHT is applied...
The theory of belief functions has been formalized in continuous domain for pattern recognition. Some applications use assumption of Gaussian models. However, this assumption is reductive. Indeed, some data are not symmetric and present property of heavy tails. It is possible to solve these problems by using a class of distributions called α-stable distributions. Consequently, we present in this paper...
In this paper we point out new properties, composition, wideband filtering and quadratic principle, of the cross-PsiB-energy operator which measures the interaction between two non- stationary signals. These properties are useful for some signal processing applications. We show that due to its bilinearity, PsiB satisfies the quadratic superposition principle that can be used efficiently for transient...
In this paper, a signal-filtering method based on empirical mode decomposition is proposed. The filtering method is a fully data-driven approach. A noisy signal is adaptively decomposed into intrinsic oscillatory components called intrinsic mode functions (IMFs) by means of an algorithm referred to as a sifting process. The basic principle of the method is to make use of partial reconstructions of...
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