A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

Wavelets provide new capabilities for analyzing real-time signals. This introductory article provides an overview and presents the basic mechanisms involved in wavelets. In many signal processing ...

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 ...

Welcome to the ME 579 blog! A big thank you to Professors Jeff Rhoads and Chuck Krousgrill for getting this up and running, as well as training me on how to do stuff! The blog for the Spring 2018 ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Digital or vector modulation can provide increased spectral efficiency, higher data security, and higher quality communications. This comes at a cost of increased system complexity and a resultant ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Here you are going to write a function that uses the in-built functions pwelch and cpsd, and you are going to use the results to examine H1 and H2 estimates of H, and the coherence function. You will ...