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:

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

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

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

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

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)

• 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

• 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