Abstract—G-networks with ordinary (positive) customers and signals are considered under the assumption that signal processing (activation) requires a random amount of time. Activated signals either move a customer from the node they arrive to another node or kill a positive customer. For a network in which positive customers are processed by a single server at every node and for a symmetrical n...

Abstrac t This paper presents a method for locating and measuring the size of cracks in beams by time of flight (ToF) of ultrasonic wave. The echo detected was processed using the stationary wavelet transform and the Hilbert transform. The accuracy of the information obtained from the processed signal depends on the selected mother wavelet. To select the best mother wavelet for signal processin...

This paper presents a comparative study of different wavelet denoising techniques and the results obtained were examined. The denoising process rejects noise by thresholding in the wavelet domain. It is observed that „rigrsure„ method gives optimum performance. Discrete wavelet transform has the benefit of giving a joint timefrequency representation of the signal. Also it is suitable for both s...

This paper presents a unified approach to the problem of blind separation of sources, based on the concept of mutual information. This concept is applied to the whole source sequences as stationary processes and thus provides a universal contrast applicable to both the instantaneous and convolutive mixture cases. For practical implementation, we introduce several degraded forms of this contrast...

In this part of the paper, a first application of the non-stationary TARMA approach to the problem of modeling and prediction of a strongly non-stationary mechanical signal is presented, and the approach’s suitability, along with the capability of the introduced polynomial-algebraic (P-A) estimation method, are assessed. The signal paradigm used in the study is the power consumption of an autom...

Harmonic retrieval is a classical signal processing problem but it has been almost invariably assumed that the additive noise is stationary. In this paper, we abandon this requirement and allow the additive noise to be nonstationary (but also non-cyclostationary in order to distinguish it from the information bearing signal). We show that various FFT based approaches can still be used on a sing...

In this paper, a novel blind separation approach using power spectral density(PSD) is presented. The power spectrum itself is the Fourier transform of the auto-correlation function. Auto-correlation function represents the relationship of long and short-term correlation within the signal itself. This paper using power spectral density and cross power spectral density separate blind mixed source...

We propose a new non-parametric adaptive detector for detecting an unknown broadband signal in interference consisting of non-stationary narrowband components and a locally stationary broadband component. An important feature of this detector is that it needs no prior information about the signal or interference. The proposed detector is based on the integration of the non-parametric power law ...

Non–stationarity relates to the variation over time of the statistics of a signal. Therefore, signals from practical applications which are realizations of non–stationary processes are difficult to represent and to process. In this paper, we provide a comprehensive discussion of the asynchronous representation and processing of non–stationary signals using a time-frequency framework. Power cons...

Non-stationary forced oscillations (FOs) have been observed in power system operations. However, most detection methods assume that the frequency of FOs is stationary. In this paper, we present a methodology for analysis non-stationary FOs. Firstly, Fourier synchrosqueezing transform (FSST) used to provide concentrated time-frequency representation signals allows identification and retrieval si...