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Introduction to Signal Processing 
Course: 361.1.3321 

 

🗎 Syllabus

Lectures recordings:

Recorded lectures - English 2023

Recorded lectures - Hebrew 2022

Lectures notes:

🗎 Lecture 1 - Introduction

🗎 Lecture 2 - Uniform sampling

🗎 Lecture 3 - Reconstruction

🗎 Lecture 4 - Non-uniform sampling, functional analysis

🗎 Lecture 5 - Discrete Fourier transform (DFT)

🗎 Lecture 6 - Discrete Fourier transform (DFT): Long sequences, matrix notation

🗎 Lecture 7 - Discrete Fourier transform (DFT): more matrix formulations, circular convolution

🗎 Lecture 8 - Discrete Fourier transform (DFT): Circular convolution, zero-padding

🗎 Lecture 9 - Fast Fourier transform (FFT)

🗎 Lecture 10 - Applications of FFT: filtering of long sequences

🗎 Lecture 11 - Windowing and filtering: FIR and IIR

🗎 Lecture 12 - FIR linear phase response, summary

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