Signals and systems theory is a tough topic. Terms like convolution and impulse response can be hard to understand on a visceral level and most books that talk about these things emphasize math over ...

Today, we are surrounded by digital electronics. Devices that work with analog electronics are very rare. Computers, telephones, cameras, CD players, printers, radios, and TVs all operate with digital ...

Use networks and communications systems in engineering applications. Design computer communication systems for use in many industrial sectors, such as automotive, manufacturing, and power generation ...

Basic communication engineering concepts: signals, spectra, and bandwidth; attenuation, distortion, and noise; filtering, equalizing, and companding; modulation and ...

Signals that carry information play a central role in technology and engineering — signals ranging from sound and images to sensors, radar, communication, MRI, ultrasound, touch-screens, GPS, and ...

Course Objective: To understand the theory and architecture of modern remote sensing systems, including both active and passive systems operating in the microwave, infrared and optical portions of the ...

The EA math sequence, some Signals and Systems course covering Fourier concepts (co-registration in BME 305 is OK) Note: the text’s Appendix G has a review of Fourier Transforms and Convolution; ...

Dr. Kevin M. Passino was my doctoral research adviser at the Ohio State University, where I did my PhD. As a control systems researcher, I have long felt that control systems – and systems science in ...

As the number of higher-throughput applications grows, so does the need for a wider bandwidth and network coverage in wireless systems. Given limited spectrum allocation, wireless communication ...