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0512-1203

Introduction to signal processing

Also listed as: מבוא לעיבוד אותות

Signals and systems, transforms and sampling. It is the prerequisite for anything diagnostic: vibration monitoring, sensor fusion, condition-based maintenance.

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

What it covers

Topics

  • Continuous and discrete signals and systems
  • Linear time-invariant systems and convolution
  • Fourier series and the Fourier transform, DTFT
  • Sampling and aliasing, the Nyquist criterion
  • Laplace and z-transforms
  • Filtering fundamentals

Results worth carrying out

  • Convolution

    y(t)=x(τ)h(tτ)dτy(t) = \int_{-\infty}^{\infty} x(\tau)\,h(t-\tau)\,d\tau
  • Nyquist criterion

    fs>2fmaxf_s > 2 f_{\max}
  • Fourier transform

    X(f)=x(t)ej2πftdtX(f) = \int_{-\infty}^{\infty} x(t)\,e^{-j2\pi f t}\,dt

Figures worth knowing

  • Spectra
  • 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.