Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...

A discrete-time signal is a sequence of numbers defined only at integer values of time. Addition combines two signals sample by sample. y[n] = x₁[n] + x₂[n] Used in mixing and superposition of signals ...

Cognitive neuroscience is the field of study focusing on the neural substrates of mental processes. It is at the intersection of psychology and neuroscience, but also overlaps with physiological ...

Abstract: Automatic processing and analysis of electrocardiogram (ECG) signals are related to various applications and aspects of cardiovascular system research. One of such tasks is ECG monitoring, ...

Maxx Seminario is a PhD student studying int egrated circuit design at the University of Nebraska–Lincoln, and is responsible for creating and curating this course - Digital Signal Processing - ECEN ...

Abstract: Exploring temporal activity in the brain, often performed using electroencephalography (EEG), includes data analysis, signal processing and visualization. In conventional surface EEG data ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Christy Grinton's split-second capture of a bedraggled mother earned finalist honors in the Nikon Comedy Wildlife Awards.