Reference Hub

This hub answers a different question from the rest of the site: not “how do I use the library?”, but “where does this project sit in the larger FFT, DSP, and GPU-compute landscape?”

Use this section when: you want to cross-check architectural choices against papers, understand how larger libraries differ, or build an interview-ready mental map of the ecosystem.

Quick navigation

[Academic Papers](/reference/papers)

Foundational FFT papers, GPU implementation research, and DSP references that anchor the project.

[Reference Implementations](/reference/implementations)

Compare the project against FFTW, cuFFT, VkFFT, TensorFlow.js, and other practical baselines.

[Learning Resources](/reference/learning)

Tutorials, videos, WebGPU learning material, and textbook-style resources for deeper study.

What this hub is for

1. Algorithm lineage: why radix-2 remains central, and what alternatives would cost.
2. Implementation context: how a browser-first WebGPU FFT differs from platform-specific giants.
3. Research credibility: which papers and standards the docs point to when they make claims.

Technical specifications worth keeping nearby

Spec	Link	Why it matters here
WebGPU spec	w3.org/TR/webgpu	Defines the compute API this project targets
WGSL spec	w3.org/TR/WGSL	Governs the shader language used by the FFT core
IEEE 754-2019	ieee.org	Frames floating-point behavior across JavaScript and shaders

Read this section alongside

• Architecture Overview
• Benchmarks
• Architecture Decisions