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
Comes after
- Calculus
- Linear algebra
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
Nyquist criterion
Fourier transform
Figures worth knowing
- Spectra
- Pole-zero plots
Quick answers
When is Introduction to signal processing taught?
Introduction to signal processing (0512-1203) is taught in a semester that is not fixed in advance, 4 weekly hours. It counts toward “Faculty electives” in the Tel Aviv University Mechanical Engineering elective requirements.
What do I need before 0512-1203?
Before Introduction to signal processing you need: Calculus, Linear algebra.
What software is used in Introduction to signal processing?
Introduction to signal processing is normally taught with MATLAB, Python (SciPy).
Which jobs does Introduction to signal processing prepare you for?
Introduction to signal processing is part of the preparation for these roles: Mechatronics and embedded systems engineer, Algorithm engineer, from mechanical engineering.
Which interest areas include Introduction to signal processing?
Introduction to signal processing sits in these interest areas: Mechatronics and robotics, Miniaturised systems and materials.
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