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, ...

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 ...

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, ...

In an increasingly noisy world, it can be a struggle to hear clearly. And that is as true for electronic devices as it is for humans, which is a problem if they are designed to capture or respond to ...

Part 2 shows how to optimize filter banks using high-level synthesis tools, and reviews the results of each optimization. Filter banks are part of a group of signal processing techniques that ...

Fundamentals of processing multimedia signals: text, graphics, speech, audio, image, video; standards for multimedia coding, processing and compression. Related products and services will be discussed ...

Can technologies from the industry that put smartphones in nearly everyone’s hands help bring multiomics tools into every commercial and academic lab? Pleno thinks so. The San Diego startup has ...

The relentless demand for massive amounts of data is accelerating the pace of high-performance computing (HPC) within the high-speed Ethernet realm. This escalation, in turn, intensified the ...

Like every sector of cargo and passenger shipping, “digitalization”—where computerized processes are replacing onboard routines previously handled manually— is an ongoing trend coastwise, on the ...