Paulo S.R. Diniz – författare
Visar alla böcker från författaren Paulo S.R. Diniz. Handla med fri frakt och snabb leverans.
4 produkter
4 produkter
E-bok
Engelska, 20132 748 kr
Läs direkt efter köp
This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.With this reference source you will:- Quickly grasp a new area of research- Understand the underlying principles of a topic and its application- Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved- Quick tutorial reviews of important and emerging topics of research in machine learning- Presents core principles in signal processing theory and shows their applications- Reference content on core principles, technologies, algorithms and applications- Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge- Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Häftad, Engelska, 2023
1 580 kr
Skickas inom 5-8 vardagar
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods References content on core principles, technologies, algorithms and applications Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
E-bok
Engelska, 20232 247 kr
Läs direkt efter köp
Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.- Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools- Presents core principles in signal processing theory and shows their applications- Discusses some emerging signal processing tools applied in machine learning methods- References content on core principles, technologies, algorithms and applications- Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge
E-bok
PDF, Engelska, 20131 100 kr
Läs direkt efter köp
Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference.This second edition contains a substantial amount of new material:
-Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms.