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0512-4200

Introduction to digital signal processing

Also listed as: מבוא לעיבוד ספרתי של אותות

The digital half of signal processing: DFT and FFT, filter design, spectral analysis. It is what makes vibration and acoustic data into a diagnosis.

Semester
Not fixed
Weekly hours
4h
Counts as
Faculty electives
Interest areas
Mechatronics and robotics · Miniaturised systems and materials

Comes after

Opens up

  • Machine-learning and diagnostics research

What it covers

Topics

  • Discrete Fourier transform and the FFT
  • Digital filter design, FIR and IIR
  • The z-domain in practice
  • Windowing and spectral leakage
  • Introduction to multirate processing
  • Applications in vibration, acoustics and imaging

Results worth carrying out

  • Discrete Fourier transform

    X[k]=n=0N1x[n]ej2πkn/NX[k] = \sum_{n=0}^{N-1} x[n]\,e^{-j 2\pi k n / N}
  • z-transform

    X(z)=n=x[n]znX(z) = \sum_{n=-\infty}^{\infty} x[n]\,z^{-n}
  • FIR difference equation

    y[n]=k=0Mbkx[nk]y[n] = \sum_{k=0}^{M} b_k\, x[n-k]

Figures worth knowing

  • Magnitude and phase responses
  • Pole-zero plots

We also write the summaries.

This map tells you what a course contains. The summaries, the tutoring and the people who already took it are the part you get by joining.

The topic outlines are not official syllabi. The university publishes a catalogue blurb per course, not lecture-by-lecture material, so each outline describes what a course of that name, at those hours, with those prerequisites teaches at engineering schools generally, cross-checked against the standard textbook for the subject. Treat it as an informed map, not as a transcript of the lectures.