Accurate estimation of seismocardiographic (SCG) signal features can help successful signal characterization and classification in health and disease. This may lead to new methods for diagnosing and monitoring heart function. Time-frequency distributions (TFD) were often used to estimate the spectrotemporal signal features. In this study, the performance of different TFDs (e.g., short-time Four...

one of the common problems in reflective seismic records is the existence of coherent linear and random noises which cause covering of the most important parts of reflective signals; therefore, it is necessary to attenuate them by processing methods. several processing techniques have been devised for attenuation of coherent linear noises and linear radon or ?-? transform is a powerful techniqu...

Analysis of signals with oscillatory modes crossover instantaneous frequencies is a challenging problem in time series analysis. One way to handle this lifting the 2-dimensional time-frequency representation 3-dimensional representation, called time-frequency-chirp rate (TFC) by adding one extra chirp parameter so that are disentangled higher dimension. The chirplet transform an algorithm for i...

<p style='text-indent:20px;'>The Laplace transform is a popular approach in solving ordinary differential equations (ODEs), particularly initial value problems (IVPs) of ODEs. Such stereotype may confuse students when they face task ODEs without explicit condition(s). In this paper, four case studies by the are used to demonstrate that, firstly, how much influence was on student's percept...

Acoustic fault diagnosis technology equipment is non-contact, and the acoustic signal easy to access. However, it difficult extract feature information of with low signal-to-noise ratio (SNR). In this paper, a model (FDM) axle box bearing based on Chirplet transform (CT) support vector machine (SVM) established diagnose signal. The availability verified by comparing vibration acceleration resul...