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
- 0512-1203Introduction to signal processing
- Electrical Engineering approval
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
z-transform
FIR difference equation
Figures worth knowing
- Magnitude and phase responses
- Pole-zero plots
Quick answers
When is Introduction to digital signal processing taught?
Introduction to digital signal processing (0512-4200) 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 0512-4200?
Before Introduction to digital signal processing you need: Introduction to signal processing, Electrical Engineering approval.
What software is used in Introduction to digital signal processing?
Introduction to digital signal processing is normally taught with MATLAB, Python (SciPy), DSP toolchains.
Which jobs does Introduction to digital signal processing prepare you for?
Introduction to digital signal processing is part of the preparation for these roles: Algorithm engineer, from mechanical engineering.
Which interest areas include Introduction to digital signal processing?
Introduction to digital signal processing sits in these interest areas: Mechatronics and robotics, Miniaturised systems and materials.
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