Detecting transient light curves (e.g., transiting planets) requires high-precision data, and thus it is important to effectively filter systematic trends affecting ground-based wide-field surveys. We ...

Adaptive filtering and system identification techniques form a cornerstone in modern signal processing and control theory, providing dynamic methods for modelling and real-time adjustment in complex ...

A data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...

Digital signal processors (DSPs) continue to receive a great deal of attention in new product design. For example, digital filter design reflects the importance of understanding and using this ...