Spectra Library

A Python library for custom FFT, cross-spectrum, and PSD calculations, with support for optimized algorithms across multiple decades. In some signal processing computation specific spectrum tools can be really useful like a multipurpose Swiss Army knife.

Features

• FFT: Compute the Fast Fourier Transform (FFT) of a signal.
• CSD: Cross-spectral density estimation between two signals with support for averaging.
• PSD: Power Spectral Density estimation for a signal.

Installation

Clone the repository:

git clone https://github.com/modestinocarbone/Spectra_lib

Install dependencies first:

pip install -r requirements.txt

Install library:

pip install .

Usage

Use the following header in your project:

from Spectra_lib import Spectra 
spec = Spectra()

The file example.py is a perfect proof of concept of various kind of function implementations offered by the library