https://github.com/strath-sdr/dsp_notebooks

A collection of Digital Signal Processing notebooks with a wireless communications theme.
https://github.com/strath-sdr/dsp_notebooks

communication dsp filters frequency jupyter modulation notebook ofdm python quantisation spectrum wireless

Last synced: 4 days ago
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A collection of Digital Signal Processing notebooks with a wireless communications theme.

• Host: GitHub
• URL: https://github.com/strath-sdr/dsp_notebooks
• Owner: strath-sdr
• Archived: true
• Created: 2021-02-25T14:09:12.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-01-24T14:00:45.000Z (over 1 year ago)
• Last Synced: 2024-03-02T12:35:18.461Z (4 months ago)
• Topics: communication, dsp, filters, frequency, jupyter, modulation, notebook, ofdm, python, quantisation, spectrum, wireless
• Language: Jupyter Notebook
• Homepage:
• Size: 24.8 MB
• Stars: 86
• Watchers: 8
• Forks: 30
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-stars - dsp_notebooks - sdr | 93 | (Jupyter Notebook)

README

        


This repository has now been archived. See the new [RFSoC-Book](https://github.com/strath-sdr/RFSoC-Book/) repository that contains the same DSP Notebooks and more!

    

        

            

        

        

            Available Now! 
 Software Defined Radio with Zynq® UltraScale+ RFSoC 
 Free Download 
Printed Edition

        

    

# DSP Introductory Notebooks

This repository contains a collection of educational Jupyter Notebooks on DSP (Digital Signal Processing) theory. No special hardware required, just a computer that has Python and the Jupyter environment installed (we recommend [Anaconda](https://docs.anaconda.com/anaconda/install/) if you are setting up for the first time). If you are running this from a board running [PYNQ](https://github.com/Xilinx/PYNQ) you should already be all set.













## PYNQ Quick Start

The DSP notebooks can be installed on to your development board by running a simple line of code in a command terminal. **However, you will need to connect your board to the internet.** Follow the instructions below to install the notebooks now.

* Power on your development board with an SD Card containing a fresh PYNQ v2.7 image.

* Navigate to Jupyter Labs by opening a browser (preferably Chrome) and connecting to `http://:9090/lab`.

* We need to open a terminal in Jupyter Lab. Firstly, open a launcher window as shown in the figure below:



  



* Now open a terminal in Jupyter as illustrated below:



  



* Now simply run the code below that will install the package to your system.

```sh

pip3 install git+https://github.com/strath-sdr/dsp_notebooks

```

Once installation has complete you will find the DSP notebooks in the Jupyter workspace directory 'rfsoc-studio/dsp-notebooks'. The folder will be named 'dsp-notebooks'.