{"product_id":"hands-on-mastering-independent-component-analysis","title":"Hands On Mastering Independent Component Analysis For Signal Separation A Practical Guide To Theory Algorithms And Real World Applications In Data Science And Signal Processing","description":"\u003cdiv\u003eHands-On ICA Mastery: Practical Guide for Signal Separation\u003cbr\u003e ✔️ Theory and algorithms for blind source separation in ICA \u003cp\u003eIndependent Component Analysis (ICA) is a signal-processing method to extract independent sources from mixtures. This book covers ICA theory, practical algorithms, and real-world applications across speech, telecommunications, biomedical signal processing, and data mining.\u003c\/p\u003e \u003cp\u003e✅ Author: Te-Won Lee\u003cbr\u003e✅ Edition: 1998\u003cbr\u003e✅ Pages: 244\u003cbr\u003e✅ Language: English\u003cbr\u003e✅ Topics: ICA theory, probabilistic models, information theory, unsupervised learning algorithms\u003cbr\u003e✅ Applications: speech, biomedical signals, image analysis\u003c\/p\u003e \u003cp\u003e💡 What is independent component analysis used for in signal processing?\u003c\/p\u003e\n\u003cp\u003eICA is a method used to separate mixed signals into independent sources, enabling applications in audio processing, brain signal analysis, and image feature extraction. It relies on probabilistic models and learning algorithms to recover underlying sources.\u003c\/p\u003e\n- source separation in audio, biomedical signals, and image analysis\u003cbr\u003e\n- used with infomax, maximum likelihood, negentropy-based methods, and cumulant techniques\u003cbr\u003e\n- supports unsupervised learning and feature extraction for pattern recognition\u003cbr\u003e\n✝️\u003c\/div\u003e","brand":"Amazon","offers":[{"title":"Default Title","offer_id":49079273947371,"sku":"VXB-0792382617","price":244.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/3268\/0683\/files\/61bCmhIkpKL.jpg?v=1784584847","url":"https:\/\/vxb.com\/products\/hands-on-mastering-independent-component-analysis","provider":"VXB Bearings","version":"1.0","type":"link"}