Introduction to Signal Processing
Course: 361.1.3321
🗎 Syllabus
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Lectures recordings:
Recorded lectures - English 2023
Recorded lectures - Hebrew 2022
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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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