https://www.youtube.com/watch?v=DCOqVC34o94&list=PLLlTVphLQsuMO2HsKm9I72gFcuBFlBSP6&index=1
The Convolution Sum explained step by step with intuitive examples and numerical illustrations.
In this video, we dive deep into the convolution sum, a core concept in discrete-time signal processing. You will learn how to represent discrete signals, understand the kernel (x2[n]), and calculate the output sequence y[n] using the convolution process.
We cover the four essential steps of convolution: flipping (folding) the kernel, shifting it across the signal, multiplying overlapping samples, and summing the results. This video includes both sequential and graphical representations of discrete signals to make the concept easier to visualize. By the end, you will understand convolution both mathematically and intuitively.
If this video helped clarify convolution, like, subscribe, and comment your questions or topics for future signal processing tutorials.
