rsmarinho / pdscodes

Code snippets and notebooks used in PDS classes.

pdscodes

Code snippets and notebooks used in PDS classes.

All (almost) codes are in Python3 language.

If you want to run the examples locally, I recomend you to use an python environment as follows:

On linux

1. Create and enter virtual environment

• virtualenv --clear env
• source env/bin/activate

2. Install adam requirements to the virtual env

• `pip install -r requirements.txt

3. Install plugin requirements to the virtual env

• ufpbots example: pip install -r ufpbots/requirements.txt

---

Sampling and quantization

• quantization: 1d signal quantization examples
• quantization2: 2d signal quantization examples
• nyquist: Shannon-Nyquist Sampling Theorem examples

Signals and operations

• impulse: Impulse signal examples
• step: Step signal examples
• operations: Signal operations examples
• convolution: Convolution function example
• digital filters: Digital Filters notebook explanation

Discrete Fourier

• dft (jupyter notebook): Discrete Fourier Transform notebook
• fft (jupyter notebook): Fast Fourier Transform notebook

Homework (Trabalhos Práticos)

All home works are jupyter notebooks. These files can be opened using google-colab.

• TP01 - Convolução linear de duas dimensões.
• TP02 - Efeitos de operações lineares em sinais de audio
• TP03 - Quantização Lei-A e Lei-u
• TP04 - Fuções de Janelamento
• TP05 - Espectrograma
• TP07 - Processamento e Compactação de imagem
• TP08 - Comunicação Digital
• TP09 - Filtragem FIR (IIR - talvez)

---

Auxiliary files

• arroz e feijao: Audio wave file used in some examples (SPOLTECH audio file)
• barbara: Image (png) file used in some examples
• paganini: Audio wave file used in some examples (from wikimedia)
• table notes: Image containing the frequencies of musical tones. Don't know the author.
• transmission: Recorded example used in TP07
• lena: Image (png) file used in TP08

TODO

• Melhorar exemplo operations.py. Exemplo não está tão claro como deveria estar (pouco eficiente na apresentacao).
• TP02.ipynb: Adicionar/melhorar os comentários e comandos de questões.
• Colocar as aulas e arquivos utilizados por aula no README