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A list of open resources for learning and working with digital signal processing.

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# Open Resources for Digital Signal Processing

Open resources for learning and working with digital signal processing (DSP).

## Table of Contents

- [Online Materials](#online-materials)
- [Online Videos](#online-videos)
- [Online Courses](#online-courses)
- [Individual Topics](#individual-topics)

## Online Materials

The following are online guides, collections, and textbooks on the topic of DSP.

### Seeing Circles, Sines, and Signals

Seeing Circles, Sines, and Signals, by Jack Schaedler, is an interactive guide to the core concepts of DSP, including lots of interactive visualizations.

[Homepage](https://jackschaedler.github.io/circles-sines-signals/)

### The Scientist and Engineers Guide to Digital Signal Processing

This book is a free online textbook for learning DSP, tuned towards scientists & engineers.

[Homepage](https://www.dspguide.com/)

### DSP Guru

DSP Guru is a website with tutorials, guides, and links to other resources.

[Homepage](https://dspguru.com)

### Think DSP

An introductory textbook for learning DSP, by Allen Downey, with associated Python code.

[Homepage](https://greenteapress.com/wp/think-dsp/) -
[Github](https://github.com/AllenDowney/ThinkDSP) -
[Book PDF](https://greenteapress.com/thinkdsp/thinkdsp.pdf)

### Mathematics of the Discrete Fourier Transform

An in depth, mathematically oriented, textbook covering DSP and the mathematics of the Fourier transform.

[Homepage](https://ccrma.stanford.edu/~jos/mdft/mdft.html)

### Tutorials Point

An introductory set of materials on signals and DSP.

[Homepage](https://www.tutorialspoint.com/digital_signal_processing/index.htm)

## Online Videos

The following are collections of online videos related to DSP.

### AllSignalProcessing Videos

AllSignalProcessing is a Youtube channel, by Professor Barry Van Veen, covering topics across DSP.

[Homepage](https://www.youtube.com/user/allsignalprocessing/)

### Mike X Cohen Videos

Professor Mike X Cohen makes videos on technical topics related to electrophysiological data, often including DSP.

[Homepage](https://www.youtube.com/channel/UCUR_LsXk7IYyueSnXcNextQ/)

### Tutorial Videos

The following are general tutorial videos on DSP:
- A [DSP tutorial](https://www.youtube.com/watch?v=SrJq2AzXZME), by Allen Downey, using Python code, presented at PyCon 2018
- A [brief outline of DSP](https://www.youtube.com/watch?v=WgJMjDh0nLU), by Jim Pytel
- A [brief video series on Fourier Series](https://www.khanacademy.org/science/electrical-engineering/ee-signals), by Khan Academy

### Lecture Series Playlists

The following are some recorded lecture series on DSP:
- The [ECSE4530](https://www.youtube.com/watch?v=hVOA8VtKLgk&list=PLuh62Q4Sv7BUSzx5Jr8Wrxxn-U10qG1et) course, by Professor Rich Radke
- The [IIT DSP](https://www.youtube.com/watch?v=6dFnpz_AEyA&list=PL9567DFCA3A66F299) course, by Professor SC Dutta Roy

## Online Courses

The following are openly available online courses and course materials on the topic of DSP.

### Neural Signal Processing

An introductory course on DSP for neural signal processing, with materials in Python.

[Github](https://github.com/rdgao/COGS118C)

## Individual Topics

The following are resources for specific topics with DSP.

### Fourier Transforms

Resources about the Fourier transform:
- An [interactive guide](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/), by Better Explained
- An [explainer video](https://www.youtube.com/watch?v=spUNpyF58BY), by 3Blue1Brown
- A [physical Fourier machine](https://hackaday.com/2014/11/18/harmonic-analyzer-mechanical-fourier-computer/), by engineerguy
- A [filmed introductory lecture](https://www.youtube.com/watch?v=iTMn0Kt18tg) on the FFT, by MIT OpenCourseWare

### Filters

Resources about filters:
- An [overview of filters](https://martinos.org/mne/stable/auto_tutorials/discussions/plot_background_filtering.html), from MNE, with Python code
- An [introduction to filters](https://community.plm.automation.siemens.com/t5/Testing-Knowledge-Base/Introduction-to-Filters-FIR-versus-IIR/ta-p/520959), from Siemens
- An [article](https://app.dimensions.ai/details/publication/pub.1019839915) on digital filter design for electrophysiological data (includes open-access link)

### Wavelets

Resources about wavelets:
- An [introduction to wavelets](https://www.mathworks.com/help/wavelet/gs/what-is-a-wavelet.html) from MathWorks
- A [filmed lecture](https://www.youtube.com/watch?v=tMV61BZCrhk) by Ingrid Daubechies on 'wavelet bases: roots, surprises, and applications'

### Hilbert Transforms

Resources about the Hilbert transform:
- An [overview](http://www.scholarpedia.org/article/Hilbert_transform_for_brain_waves) of Hilbert transforms in the context of neural data, from scholarpedia
- A [deep dive](http://www.rdgao.com/roemerhasit_Hilbert_Transform/) into the Hilbert transform, by Richard Gao

### Aperiodic Signals

Resources about aperiodic signals:
- An [overview of 1/f noise](http://www.scholarpedia.org/article/1/f_noise), from scholarpedia

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