https://github.com/scikit-signal/tftb

A Python module for time-frequency analysis
https://github.com/scikit-signal/tftb

matplotlib numpy python scipy signal-processing time-frequency-analysis

Last synced: 1 day ago
JSON representation

A Python module for time-frequency analysis

• Host: GitHub
• URL: https://github.com/scikit-signal/tftb
• Owner: scikit-signal
• Created: 2014-10-10T13:40:21.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2023-01-23T11:56:45.000Z (almost 2 years ago)
• Last Synced: 2024-12-14T04:05:22.604Z (9 days ago)
• Topics: matplotlib, numpy, python, scipy, signal-processing, time-frequency-analysis
• Language: Python
• Homepage:
• Size: 1010 KB
• Stars: 264
• Watchers: 17
• Forks: 56
• Open Issues: 31
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
[![Documentation Status](https://readthedocs.org/projects/tftb/badge/?version=latest)](https://tftb.readthedocs.io/en/latest/?badge=latest)

[![Build Status](https://travis-ci.org/scikit-signal/tftb.svg)](https://travis-ci.org/scikit-signal/tftb)

# tftb

tftb (Time-frequency toolbox) is a Python module for time-frequency analysis and visualization

build with SciPy and matplotlib.

The tftb project began as a Python implementation of the TFTB toolbox developed by

François Auger, Olivier Lemoine, Paulo Gonçalvès and Patrick Flandrin. While this project and the

MATLAB implementation (henceforth referred to as TFTB) are similar in the core algorithms and the

basic code organization, the very nature of the Python programming language has motivated a very

different approach in architecture of PyTFTB (differences between the two packages have been

discussed in detail [here](https://tftb.readthedocs.io/en/latest/introduction.html#comparison-of-tftb-and-pytftb)).

## Installation

tftb requires:

  - Python (>= 3.5)

  - NumPy

  - SciPy

  - Matplotlib

Install tftb with pip as follows:

```bash

$ pip install tftb

```