13min chapter

The InfoQ Podcast cover image

Generally AI Episode 5: Making Waves

The InfoQ Podcast

CHAPTER

Simplifying Signal Processing with Fourier Transform

The chapter delves into practical applications of streams, multiplication, convolution, and Fourier transform in simplifying complex mathematical operations related to signal processing. It explains the transition from traditional Fourier transform to digital signal processing, introduction of Discrete Fourier Transform (DFT), and the importance of sampling in signal conversion. Furthermore, it discusses the efficiency improvements made by mathematicians Cooley and Tukey in the development of the Fast Fourier Transform (FFT) and the significance of choosing the right sampling frequency for accuracy in signal processing.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode