Source Separation and Machine Learning - Jen-Tzung Chien
-30% koodiga BOOKS
Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model fo ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-30% koodiga BOOKS
Meie tarnija laos
TOP
We Are Not Machines: The Fight for the Future of Work
-30% koodiga BOOKS
Meie tarnija laos
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-30% koodiga BOOKS
Meie tarnija laos
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-30% koodiga BOOKS
Meie tarnija laos
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-30% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-30% koodiga BOOKS
Meie tarnija laos
TOP
Black Holes: The Key to Understanding the Universe
-30% koodiga BOOKS
Meie tarnija laos
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-30% koodiga BOOKS
Meie tarnija laos
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-30% koodiga BOOKS
Meie tarnija laos
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-30% koodiga BOOKS
Meie tarnija laos
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-30% koodiga BOOKS
Meie tarnija laos
TOP
Flowers For Algernon: A Modern Literary Classic
-30% koodiga BOOKS
Meie tarnija laos
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-30% koodiga BOOKS
Meie tarnija laos
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-30% koodiga BOOKS
Meie tarnija laos
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-30% koodiga BOOKS
Meie tarnija laos
TOP
Mastering the Arduino Uno R4: Programming and Projects for the Minima and WiFi
-30% koodiga BOOKS
Meie tarnija laos
Kirjeldus
Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS) and emphasizes the importance of machine learning perspectives. It illustrates how BSS problems are tackled through adaptive learning algorithms and model-based approaches using the latest information on mixture signals to build a BSS model that is seen as a statistical model for a whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative tensor factorization (NTF), and deep neural network (DNN), the book addresses how they have evolved to deal with multichannel and single-channel source separation.
Lisateave
| Autor | Jen-Tzung Chien |
|---|---|
| Kirjastaja | Elsevier Science |
| Väljalaskeaasta | 2018 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9780128177969 |