Signal Separation Unraveling Hidden Structures In Data
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Signal Separation Unraveling Hidden Structures In Data
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-20
Signal Separation Unraveling Hidden Structures In Data written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Science categories.
In the era of big data, where information floods our lives from countless sources, the ability to extract meaningful patterns and insights from complex signals is more critical than ever. Signal separation, a powerful technique that decomposes a mixture of signals into its constituent parts, has emerged as a key tool in addressing this challenge. This comprehensive book provides a thorough exploration of signal separation, guiding readers through its fundamental principles, advanced algorithms, and diverse applications. Written in an engaging and accessible style, it is suitable for readers with a basic understanding of linear algebra and probability theory. The book begins with an intuitive introduction to signal separation, laying the foundation for understanding more advanced concepts. It then delves into the three main signal separation techniques: independent component analysis (ICA), projection pursuit, and complexity pursuit. Each technique is thoroughly explained, with detailed mathematical derivations and clear geometric interpretations. Moving beyond the theoretical foundations, the book explores the practical applications of signal separation in various domains. These applications include: * Speech enhancement in noisy environments * Brain signal separation for brain-computer interfaces * Source localization in sensor networks * Blind source separation in telecommunications * Anomaly detection in financial markets * Fault diagnosis in industrial systems Each application is illustrated with real-world examples and case studies, showcasing the transformative impact of signal separation in addressing real-world challenges. To cater to readers with diverse backgrounds and interests, the book also includes advanced topics in signal separation, such as sparse component analysis, non-negative matrix factorization, and tensor-based signal separation. These topics are presented in a clear and concise manner, making them accessible to readers with a solid foundation in linear algebra and probability theory. Additionally, the book provides practical guidance on implementing signal separation algorithms using popular software tools. This hands-on approach allows readers to gain hands-on experience and apply the techniques discussed in the book to their own research or projects. With its comprehensive coverage of theory, applications, and practical implementation, this book is an invaluable resource for researchers, practitioners, and students alike. Whether you are new to the field or seeking to deepen your understanding, this book will provide you with the knowledge and tools you need to harness the power of signal separation in your work. If you like this book, write a review on google books!
Big Data Analytics
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Author : Vasudha Bhatnagar
language : en
Publisher: Springer
Release Date : 2013-12-06
Big Data Analytics written by Vasudha Bhatnagar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-06 with Computers categories.
This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013. The 13 revised full papers were carefully reviewed and selected from 49 submissions and cover topics on mining social media data, perspectives on big data analysis, graph analysis, big data in practice.
Personalized Psychiatry
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Author : Ives Cavalcante Passos
language : en
Publisher: Springer
Release Date : 2019-02-12
Personalized Psychiatry written by Ives Cavalcante Passos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-12 with Medical categories.
This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.
Unravelling The Soil Microbiome
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Author : Rama Kant Dubey
language : en
Publisher: Springer
Release Date : 2019-05-24
Unravelling The Soil Microbiome written by Rama Kant Dubey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-24 with Technology & Engineering categories.
This book explores the significance of soil microbial diversity to understand its utility in soil functions, ecosystem services, environmental sustainability, and achieving the sustainable development goals. With a focus on agriculture and environment, the book highlights the importance of the microbial world by providing state-of-the-art technologies for examining the structural and functional attributes of soil microbial diversity for applications in healthcare, industrial biotechnology, and bioremediation studies. In seven chapters, the book will act as a primer for students, environmental biotechnologists, microbial ecologists, plant scientists, and agricultural microbiologists. Chapter 1 introduces readers to the soil microbiome, and chapter 2 discusses the below ground microbial world. Chapter 3 addresses various methods for exploring microbial diversity, chapter 4 discusses the genomics methods, chapter 5 provides the metaproteomics and metatranscriptomics approaches and chapter 6 details the bioinformatics tools for soil microbial community analysis, and chapter 7 concludes the text with future perspectives on further soil microbial uses and applications.
Independent Component Analysis
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Author : Aapo Hyvärinen
language : en
Publisher: John Wiley & Sons
Release Date : 2004-03-22
Independent Component Analysis written by Aapo Hyvärinen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-22 with Science categories.
A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model and its solution * Various extensions of the basic ICA model * Real-world applications for ICA models Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
Abstract Algebra Tensor Products
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Author : N.B. Singh
language : en
Publisher: N.B. Singh
Release Date :
Abstract Algebra Tensor Products written by N.B. Singh and has been published by N.B. Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.
"Abstract Algebra: Tensor Products" provides a comprehensive exploration of tensor products within the framework of abstract algebra. Beginning with foundational definitions and universal properties, the book progresses to elucidate their applications across diverse algebraic structures such as modules, vector spaces, and rings. Emphasizing clarity and depth, it navigates through advanced topics including categorical perspectives, functorial properties, and their relevance in fields like quantum mechanics and topology. Through numerous examples, and theoretical insights, this book equips readers with the tools to understand and leverage tensor products as powerful algebraic tools, fostering a deeper appreciation for their role in modern mathematics.
Warped Passages
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Author : Lisa Randall
language : en
Publisher: Harper Collins
Release Date : 2009-10-21
Warped Passages written by Lisa Randall and has been published by Harper Collins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-21 with Science categories.
A New York Times Notable Book: A particle physicist’s “engaging and remarkably clear” look at the dimensions that may exist beyond the ones we know (The New York Times Book Review). The universe has many secrets. It may hide additional dimensions of space other than the familiar three we recognize. There might even be another universe adjacent to ours, invisible and unattainable . . . for now. Warped Passages is a brilliantly readable and altogether exhilarating journey that tracks the arc of discovery from early twentieth-century physics to the razor’s edge of modern scientific theory. One of the world’s leading theoretical physicists, Lisa Randall provides astonishing scientific possibilities that, until recently, were restricted to the realm of science fiction. Unraveling the twisted threads of the most current debates on relativity, quantum mechanics, and gravity, she explores some of the fundamental questions posed by Nature—taking us into the warped, hidden dimensions underpinning the universe we live in, demystifying the science of the myriad worlds that may exist just beyond our own. “Randall brings much of the excitement of her field to life as she describes her quest to understand the structure of the universe.” —Publishers Weekly “A great read . . . I highly recommend it.” —Ira Flatow, host of NPR’s Science Friday “Randall, a professor of physics at Harvard, offers a tour of current questions in particle physics, string theory, and cosmology, paying particular attention to the thesis that more physical dimensions exist than are usually acknowledged . . . She’s honest about the limits of the known, and almost revels in the uncertainties that underlie her work—including the possibility that some day it may all be proved wrong.” —The New Yorker
Sparse And Redundant Representations
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Author : Michael Elad
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-12
Sparse And Redundant Representations written by Michael Elad and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-12 with Mathematics categories.
A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the “language” or “dictionary” used in them, and it became an extremely exciting area of investigation. It already yielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure you’ll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.
Digital Transformation And Sustainability Of Business
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Author : Sai Kiran Oruganti
language : en
Publisher: CRC Press
Release Date : 2025-05-20
Digital Transformation And Sustainability Of Business written by Sai Kiran Oruganti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Technology & Engineering categories.
It explores the integration of digital technologies into business models, offering innovative approaches for sustainable growth. This comprehensive guide delves into case studies and strategic frameworks that align digital transformation with environmental and economic sustainability. It presents actionable insights on overcoming challenges, leveraging technology for efficiency, and fostering a competitive edge. Designed for industry leaders, researchers, and policymakers, the book provides evidence-based strategies supported by real-world applications, making it an essential resource for those looking to drive meaningful change in today’s evolving business landscape.
Predictive Patterns In The Markets Uncover Trends And Profit From Dynamics
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-05-20
Predictive Patterns In The Markets Uncover Trends And Profit From Dynamics written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Business & Economics categories.
"Predictive Patterns in the Markets" unveils the transformative power of dynamic, non-linear time series, guiding investors towards a deeper understanding of market dynamics and providing practical tools for profiting from financial chaos. In this comprehensive guide, readers will embark on a journey into the complexities of market behavior, discovering the art of identifying patterns, embracing uncertainty and risk, and adapting to the ever-changing landscape of financial markets. Learn to harness the power of market feedback, master the psychology of market dynamics, and navigate the intricacies of predictive analytics. Uncover the hidden drivers of market behavior, from economic factors and geopolitical events to market sentiment and psychological influences. Explore risk management strategies that safeguard investments, ensuring survival and prosperity in turbulent economic waters. Chart your investment strategy with precision, defining objectives, selecting appropriate vehicles, and managing portfolios with finesse. Delve into the realm of technical analysis, unearthing chart patterns and trends that provide valuable insights into market direction. Master advanced trading strategies, including algorithmic and high-frequency trading, options, futures, and derivatives. Learn the art of market timing, and cultivate the emotional intelligence and resilience required for trading success. "Predictive Patterns in the Markets" is not just a book; it's a compass for navigating the turbulent seas of financial markets. It empowers readers with the knowledge and skills to make informed decisions, capitalize on emerging opportunities, and secure their financial futures. Embrace the transformative power of market dynamics and unlock the secrets to financial success. With clarity and precision, this book unveils the transformative power of dynamic, non-linear time series, a revolutionary approach that merges chaos theory with the realities of financial markets. It is a must-read for investors seeking to understand the underlying forces that drive price movements and profit from market dynamics. If you like this book, write a review on google books!