This course focuses on analyzing signals (sound, voltage, communication transmissions, pressure, images, etc.) and the systems that act on them (circuits, physical echos, mechanical dynamics, ...

Sub-Nyquist sampling and Finite Rate of Innovation (FRI) signal processing represent a paradigm shift in the acquisition and reconstruction of signals. Traditional sampling theories require adherence ...

A study of signals and linear systems and their applications in modern engineering. Representation of continuous and discrete time signals and systems in the time and frequency domains. Stability, ...

Recent advances in high-speed data converters now digitize or generate signals directly at radio frequencies up to several gigahertz, replacing traditional radio-frequency (RF) components like mixers, ...

Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

As higher resolution data converters that can perform direct IF sampling come to market, system designers need help making performance-versus-cost trade-off decisions on low-jitter clock circuits.

Modern SDRs evolve from configurable platforms into intelligent wideband sensing systems combining high dynamic range, ...

This course focuses on analyzing signals (sound, voltage, communication transmissions, pressure, images, etc.) and the systems that act on them (circuits, physical echos, mechanical dynamics, ...

Signals and Systems research broadly covers signals, including images and other forms of information and their acquisition, representation, processing, analysis and interpretation, coding, ...