Think DSP is an educational Python project that teaches digital signal processing through executable examples rather than starting with heavy mathematical formalism. It accompanies Allen B. Downey’s book and organizes most lessons as Jupyter notebooks. Readers work directly with waves, spectra, harmonics, filtering, convolution, and other signal-processing concepts. Early exercises show how to decompose sounds, modify frequency components, and synthesize new audio. The repository includes chapter notebooks, solution notebooks, sample sound files, book sources, and reusable Python code. Lessons can run online through Google Colab or Binder, or locally with Conda or Poetry. Its top-down approach is intended for learners who already know basic programming and want a practical route into DSP.

Features

  • Interactive digital signal processing lessons
  • Chapter notebooks with completed solutions
  • Waveform and frequency-spectrum analysis
  • Sound decomposition, modification, and synthesis
  • Included audio samples and reusable Python tools
  • Colab, Binder, Conda, and Poetry support

Project Samples

Project Activity

See All Activity >

Categories

Education

Follow ThinkDSP

ThinkDSP Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ThinkDSP!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

3 days ago