Question 1

How do I use go-dsp to analyze the frequency spectrum of an audio file?

Accepted Answer

First, use the wav package to read the audio data, then apply a window function from the window package (e.g., Hamming), and compute the FFT using the fft package. For power spectral density, use the spectral package's Pwelch method for estimation.

Question 2

go-dsp vs Python scipy for signal processing – which is better?

Accepted Answer

Choose go-dsp if you're embedded in a Go ecosystem and need native integration without language bridging. Python's scipy is better for rapid prototyping, extensive libraries, and community support, but go-dsp offers better performance and simplicity within Go applications.

Question 3

Does go-dsp support complex-valued FFT or only real-valued?

Accepted Answer

Based on the README example showing fft.FFTReal, it primarily supports real-valued FTT. For complex inputs, you might need to adapt the data or check the godoc for additional functions, but the key features emphasize real-valued data processing.

Question 4

What window functions are available in go-dsp and how do I apply them?

Accepted Answer

The window package includes Hamming, Hann, and Bartlett windows. Import the package and call functions like window.Hamming to generate coefficients, then multiply them with your signal data before FTT to reduce spectral leakage in frequency analysis.

Question 5

Is go-dsp suitable for real-time audio processing in Go?

Accepted Answer

It can be used for real-time processing, but consider Go's garbage collection and latency. For low-latency applications, you might need to optimize with buffering or concurrent routines, and it's not as tailored as dedicated real-time DSP libraries in C or C++.

Question 6

How to install go-dsp and handle dependencies in a Go project?

Accepted Answer

Use 'go get github.com/madelynnblue/go-dsp/fft' for the fft package or similar for others. Import the packages in your code, and manage dependencies via Go modules, as the README shows a simple setup without complex configuration.

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