Lecture 10: Visualizing Convolution as Smoothing and Averaging Operation and its Fourier Transform @bahgalabiitdelhi7797

Uploaded April 2020 | Updated September 2026, 1 day ago

In this lecture, we discuss how to intuitively understand the convolution function.We discuss that the convolution operation can be viewed as a smoothing and an averaging operation. We also look at an example of the moving average (running average) filter as an application of convolution to experimental science. (c) Supreet Singh Bahga

The online demo of convolution used in this lecture can be found at: https://lpsa.swarthmore.edu/Convolution/CI.html

Lecture 10: Visualizing Convolution as Smoothing and Averaging Operation and its Fourier Transform

Lecture 9: Hele-Shaw Flows (Part 3, More on Boundary Conditions)

Lecture 25: Electro-osmotic flow over a flat plate

Lecture 16: First Law for Steady State Flow Processes; examples of heat exchanger, nozzle & turbine

Lecture 16: Steady-State Advection-Diffusion

Lecture 12: Heat Capacity & application of First Law to obtain the difference in heat capacities

Lecture 34: Vapour-Compression Refrigeration Cycle with Example (Engineering Thermodynamics)

Lecture 31: Capillarity and Surface Tension (Introduction)

Lecture 5: The Fourier Transform (Derivation of Fourier Transform from Fourier Series)

Lecture 8: Work, Path & Point Functions, Exact & Inexact Differentials (Engineering Thermodynamics)

Lecture 16: Fast Fourier Transform (FFT), Aliasing, and Sampling Theorem with MATLAB Example

Lecture 31: T-s, h-s, p-h diagrams, Gibbs Phase Rule, and Clausius-Clayperon Equation