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, ...

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.

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

Researchers have developed a microwave photonic chip that is capable of performing ultrafast analog electronic signal processing and computation using optics. A research team led by Professor Wang ...

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

Fig 1. Density addition and subtraction can easily separate these audio channels before digitalization. Fig 2. Density multiplication can easily be used to multiply these two inputs in several ...

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 ...

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 ...

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 ...