Demonstrating that you can filter data to smooth out the numbers, but whether it's weather data, stock market information or Taylor Swift, the math is the same! David Domminney Fowler takes us through it. 

Find out more from Dave at https://www.youtube.com/c/DavidDomminneyFowler 

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This video was filmed and edited by Sean Riley.

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Computerphile is a YouTube channel and platform dedicated to computer science education, featuring videos on a wide range of topics, from algorithms and data structures to computer hardware and software engineering. Readers can learn about computer science concepts, programming languages, and the history of computing. With engaging videos, expert interviews, and educational content, Computerphile provides a resource for students, educators, and technology enthusiasts.

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Digital Signal Processing (DSP) fundamentals are explained through audio equalization examples. The tutorial demonstrates how filtering works by implementing moving averages in C code using Formula VST plugin. Starting with basic low-pass and high-pass filters, it shows how averaging samples removes high frequencies while subtracting averaged signals isolates treble. The code progresses from simple two-sample averaging to more sophisticated one-pole filters with logarithmic frequency scaling. All concepts apply beyond audio to any time-series data like financial or weather information.

Digital Signal Processing With Audio Data - Computerphile