Applications range from medical imaging to autonomous vehicle technology. Learn data manipulation techniques to improve signal or image fidelity. Understand the theory of probability and stochastic ...

Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

Additionally, signal processing requires more knowledge of mathematical techniques, such as DFTs, FFTs, digital filtering, and convolution. These differences were tolerable while signal processing ...

Nishit Agarwal exemplifies excellence in Biomedical AI and Signal Processing with extensive experience in developing ...

Ever wondered how Digital Signal Processing (DSP) works? Digital Signal Processing is everywhere. It's in your TV, your phone, your in-car entertainment system, in hospitals, radar systems and ...

A research team led by Professor Wang Cheng from the Department of Electrical Engineering (EE) at City University of Hong Kong (CityUHK) has developed a world-leading microwave photonic chip that is ...

How analog signal engineering is performed, in broad strokes. What are the component-selection considerations for new designs? What are VFAs and how are they used? Analog signal engineers specialize ...