Sampling, windowing and quantification of one-dimensional and two-dimensional signals.
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- Sampling, Nyquist theorem, reconstruction filter.
- 2D sampling, concept of resolution vs. sampling frequency. 2D reconstruction.
- Windowing in 1D and 2D.
- Uniform quantization. A/D conversion . Quantization noise.
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Time-frequency analysis of sound and image signals.
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- Sound and image characteristics in time and double spatial dimension, respectively.
- Windowing and Discrete Fourier Transform (DFT). DFT in 2D.
- Frequency characteristics. Spatial frequencies, physical interpretation.
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Acoustics: basics. Measurement of acoustic signals.
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- The sound: acoustic variables, generation, combination of sources, sound sensations
- Measurement levels.
- Sound level meter
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Practices |
Audio
-Localized analysis of audio signals
-Spectrogram
-Calculation of sound pressure levels
-Calibration of sound pressure levels
Image
-Image processing in Matlab
-Filtering and restoration of images |