Density Estimation and Wavelet Thresholding via Bayesian Methods: A Wavelet Probability Band and Related Metrics Approach to Assess Agitation and Sedation in ICU Patients
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چکیده
A wave is usually defined as an oscillating function that is localized in both time and frequency. A wavelet is a “small wave”, which has its energy concentrated in time providing a tool for the analysis of transient, non-stationary, or time-varying phenomena [1, 2]. Wavelets have the ability to allow simultaneous time and frequency analysis via a flexible mathematical foun‐ dation. Wavelets are well suited to the analysis of transient signals in particular. The localizing property of wavelets allows a wavelet expansion of a transient component on an orthogonal basis to be modelled using a small number of wavelet coefficients using a low pass filter [3]. This wavelet paradigm has been applied in a wide range of fields, such as signal processing, data compression and image analysis [4 -10].
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تاریخ انتشار 2013