Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle
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چکیده
منابع مشابه
Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle
The analysis of electroencephalographic signals in frequency is usually not performed by transforms that can extract the instantaneous characteristics of the signal. However, the non-steady state nature of these low voltage electrical signals makes them suitable for this kind of analysis. In this paper a novel tool based on Stockwell transform is tested, and compared with techniques such as Hil...
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The Stockwell transform (ST) is a time-frequency signal decomposition that is gaining in popularity, likely because of its direct relation with the Fourier Transform (FT). A discrete and non-redundant version of the ST, denoted the Discrete Orthonormal Stockwell Transform (DOST), has made the use of the ST more feasible. However, the matrix multiplication required by the DOST can still be a for...
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To improve the accuracy and speed of the fabric defect detection, a novel and automated algorithm is proposed in this paper. The method is based on the Stcokwell transform (or S-transform, ST), a mathematical operation that provides the frequency content at each time point within a time-varying signal. Firstly, gray level integral projection is performed on the fabric image data to obtain a one...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2017
ISSN: 1662-453X
DOI: 10.3389/fnins.2017.00660