Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...
Abstract: The electrooculogram (EOG) represents the electrical activity of the eye. Since most EOG-based applications need a large amount of data to be stored and transmitted, compression is required.
Abstract: The air-circular system of a vehicle depends on the proper circulation of cold air inside the car. This system should be robust enough to circulate the cold air to maintain the desired ...
In a series of recent articles on nonparametric regression, Donoho and Johnstone developed wavelet-shrinkage methods for recovering unknown piecewise-smooth deterministic signals from noisy data.
Electric vibrators find wide applications in reliability testing, waveform generation, and vibration simulation, making their noise characteristics a topic of significant interest. While Variational ...
Signal Analysis Research Group, Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada Neonatal electrocardiogram (ECG) monitoring is an ...
In this paper we discuss how to use wavelet decompositions to select a regression model. The methodology relies on a minimum description length criterion which is used to determine the number of ...
Stock index data generally has much noise and is non-stationary, which is a huge challenge for us using ML(Machine Learning) methods to predict the index. However wavelet transformation, an upgraded ...
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