Articoli correlati a Applied Topological Signal Processing with Python:...

Applied Topological Signal Processing with Python: Persistent Homology and Feature Extraction for Temporal Data - Brossura

Marwood, Helena K.

 
9798176996296: Applied Topological Signal Processing with Python: Persistent Homology and Feature Extraction for Temporal Data
Brossura
ISBN 13: 9798176996296
Casa editrice: Independently published, 2026

Sinossi

Reactive Publishing

Traditional signal processing relies heavily on Fourier transforms and time-frequency methods—tools that often fail when dealing with non-stationary, noisy, or high-dimensional real-time data. Applied Topological Signal Processing with Python bridges the gap between abstract mathematical topology and practical engineering, providing a hands-on guide to analyzing complex temporal data streams.

This book delivers a concrete framework for implementing Topological Data Analysis (TDA) directly in real-world signal workflows. Through complete Python examples, you will learn how to transform raw physical measurements and time-series arrays into persistence diagrams, extract robust structural features, and strip out background noise without losing critical phase information.

Inside, you will explore:

  • Fundamentals of Persistent Homology: Construct Vietoris-Rips and filtration complexes from numerical time-series.

  • Noise Reduction & Filtering: Separate true topological signal signatures from random ambient noise.

  • Feature Vectorization: Convert persistence landscapes and diagrams into ML-ready inputs for Scikit-Learn and PyTorch models.

  • Real-Time Signal Workflows: Implement sliding-window algorithms designed for streaming data pipelines.

  • Python Tooling: Practical implementations using Gudhi, Ripser, SciPy, and NumPy.

Whether you are a data scientist working with sensor networks, a biomedical engineer analyzing ECG/EEG signals, or a quantitative developer processing financial ticks, this text provides the exact code patterns and mathematical foundations needed to deploy topological methods into production.

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Editore
Independently published
Data di pubblicazione
2026
Lingua
Inglese
ISBN 13 
9798176996296
Rilegatura
Copertina flessibile
Numero di pagine
444
Redattore
Schwartz Alice
Contatto del produttore
Printed by Amazon on behalf of the author
https://www.amazon.it/hz/contact-us

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