#educational #spbstu #term_6 #think_dsp #gnu_radio
- Lab 1: Sounds and signals
- Lab 2: Harmonics
- Lab 3: Aperiodic signals
- Lab 4: Noise
- Lab 5: Autocorrelation
- Lab 6: Discrete cosine transformation
- Lab 7: Discrete Fourier transformation (DFT)
- Lab 8: Filtration and convolution
- Lab 9: Differentiation and integration
- Lab 10: Linear systems and signals
- Lab 11: Modulation and sampling
- Lab 12: Single Sideband transceiver
-
Lab notebooks use module
install_deps.py
, which is inlabs
folder.install_deps.require_think_dsp()
is used to providethinkdsp
module in case of lack it. You can run the code both on Windows and linux OS. For Windows OS local version ofwget.exe
is used. -
If you just want to see the code, you can open local .ipynb versions of notebooks or use Google Colab references.
-
If your purpose is to run and change the code, you can clone/download the repo and execute the code using Jupyter Notebook or PyCharm Professional.