Convolution is a mathematical operation used to combine two functions to produce a third function. It is integral in analyzing linear systems and filters, particularly in signal processing.

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Welcome to EHB206E: Signal Processing and Linear Systems! The Spring 2023 course information, materials, and links are recorded below.

We present a procedure for computing the convolution of (analog-time) exponential signals without the need of solving integrals. The procedure is algebraic and requires the resolution of a system of ...

The paper challenges the common approach of teaching key concepts of a Signals and Systems course in continuous time since they are easier to explain and more intuitive to understand when introduced ...

Learn how to perform convolution and correlation of signals on a DSP, and how to handle noise and interference using different methods.

A tensor multi-linear (TML) system can be used to model and represent processes where two tensor signals are coupled through a multi-linear functional. Among various other applications, the use of ...

Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous time and discrete time Fourier transforms; Laplace transform; z-transform.

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 ove… ...