The Signal and the Noise

The Signal and the Noise


  • Release: 2012-09-27
  • Publisher: Penguin
  • Price: FREE
  • File: PDF, 544 page
  • ISBN: 9781101595954
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"One of the more momentous books of the decade."—The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that the most accurate forecasters tend to have a superio

Signal to Noise

Signal to Noise


  • Release: 2015-02-10
  • Publisher: Solaris
  • Price: FREE
  • File: PDF, 272 page
  • ISBN: 9781849978903
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Magic will break your heart. Mexico City, 1988: Meche is fifteen, awkward, and obsessed with music. Her world revolves around her two misfit friends, Sebastian and Daniela, and a stack of records. Then Meche discovers how to turn music into magic, and things takes a turn for the strange... Mexico City, 2009: Meche returns home for her estranged father’s funeral. Her family are trouble enough, but when she runs into Sebastian, long-buried childhood memories resurface. What really happened back then – and is there any magic left?

Signal to Noise

Signal to Noise


  • Release: 2016-11-30
  • Publisher: Dark Horse Comics
  • Price: FREE
  • File: PDF, 96 page
  • ISBN: 9781630089658
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A film director is dying of cancer. His greatest film would have told the story of a European village as the last hour of 999 AD approached—bringing Armageddon. Now that story will never be told. But he’s still working it out in his head, making a film that no one will ever see.

Introduction to Random Signals and Noise

Introduction to Random Signals and Noise


  • Release: 2006-02-03
  • Publisher: John Wiley & Sons
  • Price: FREE
  • File: PDF, 270 page
  • ISBN: 9780470024126
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Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.

Random Signals and Noise

Random Signals and Noise


  • Release: 2018-10-03
  • Publisher: CRC Press
  • Price: FREE
  • File: PDF, 216 page
  • ISBN: 9781420007770
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Understanding the nature of random signals and noise is critically important for detecting signals and for reducing and minimizing the effects of noise in applications such as communications and control systems. Outlining a variety of techniques and explaining when and how to use them, Random Signals and Noise: A Mathematical Introduction focuses on applications and practical problem solving rather than probability theory. A Firm Foundation Before launching into the particulars of random signals and noise, the author outlines the elements of probability that are used throughout the book and includes an appendix on the relevant aspects of linear algebra. He offers a careful treatment of Lagrange multipliers and the Fourier transform, as well as the basics of stochastic processes, estimation, matched filtering, the Wiener-Khinchin theorem and its applications, the Schottky and Nyquist formulas, and physical sources of noise. Practical Tools for Modern Problems Along with these traditional topics, the book includes a chapter devoted to spread spectrum techniques. It also demonstrates the use of MATLAB® for solving complicated problems in a short amount of time while still building a sound knowledge of the underlying principles. A self-contained primer for solving real problems, Random Signals and Noise presents a complete set of tools and offers guidance on their effective application.

Signal to Noise

Signal to Noise


  • Release: 1999-06-01
  • Publisher: Harper Collins
  • Price: FREE
  • File: PDF, 400 page
  • ISBN: 0380792923
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Jack Potter puts computer cryptography to work for the highest bidder: sometimes for private corporations, sometimes for the government. Sometimes the work is legal; if not, Jack simply raises his price. But one day, Jack discovers something cloaked in the hiss of background radiation streaming past the Earth from deep space: a message from an alien civilization. One that's eager to do business with humanity -- and its representative. Before he knows it, Jack has entered into a partnership that will open a Pandora's Box of potential profit and loss. The governments, the multinationals, and mysterious players more powerful still, all want a piece of the action -- and they're willing to kill, even wage war, to get it. Now Jack is entangled shifting web of deceit and intrigue in which no one, not even his closest friends, can be trusted. For Earth's cloak-and-dagger business practices are writ large in the heavens...and hostile takeovers are just as common across light years as they are across boardroom tables.

Animal Communication and Noise

Animal Communication and Noise


  • Release: 2013-12-16
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 453 page
  • ISBN: 9783642414947
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The study of animal communication has led to significant progress in our general understanding of motor and sensory systems, evolution, and speciation. However, one often neglected aspect is that signal exchange in every modality is constrained by noise, be it in the transmission channel or in the nervous system. This book analyses whether and how animals can cope with such constraints, and explores the implications that noise has for our understanding of animal communication. It is written by leading biologists working on different taxa including insects, fish, amphibians, lizards, birds, and mammals. In addition to this broad taxonomic approach, the chapters also cover a wide array of research disciplines: from the mechanisms of signal production and perception, to the behavioural ecology of signalling, the evolution of animal communication, and conservation issues. This volume promotes the integration of the knowledge gained by the diverse approaches to the study of animal communication and, at the same time, highlights particularly interesting fields of current and future research.

Electronic Noise and Interfering Signals

Electronic Noise and Interfering Signals


  • Release: 2006-01-17
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 709 page
  • ISBN: 9783540265108
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Electronic Noise and Interfering Signals is a comprehensive reference book on noise and interference in electronic circuits, with particular focus on low-noise design. The first part of the book deals with mechanisms, modelling, and computation of intrinsic noise which is generated in every electronic device. The second part analyzes the coupling mechanisms which can lead to a contamination of circuits by parasitic signals and provides appropriate solutions to this problem. The last part contains more than 100 practical, elaborate case studies. The book requires no advanced mathematical training as it introduces the fundamental methods. Moreover, it provides insight into computational noise analysis with SPICE and NOF, a software developed by the author. The book addresses designers of electronic circuits as well as researchers from electrical engineering, physics, and material science. It should also be of interest for undergraduate and graduate students.

Detection of Signals in Noise

Detection of Signals in Noise


  • Release: 2013-09-11
  • Publisher: Academic Press
  • Price: FREE
  • File: PDF, 428 page
  • ISBN: 9781483220543
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Detection of Signals in Noise serves as an introduction to the principles and applications of the statistical theory of signal detection. The book discusses probability and random processes; narrowband signals, their complex representation, and their properties described with the aid of the Hilbert transform; and Gaussian-derived processes. The text also describes the application of hypothesis testing for the detection of signals and the fundamentals required for statistical detection of signals in noise. Problem exercises, references, and a supplementary bibliography are included after each chapter. Students taking a graduate course in signal detection theory.

Signal Detection in Non Gaussian Noise

Signal Detection in Non Gaussian Noise


  • Release: 2012-12-06
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 234 page
  • ISBN: 9781461238348
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This book contains a unified treatment of a class of problems of signal detection theory. This is the detection of signals in addi tive noise which is not required to have Gaussian probability den sity functions in its statistical description. For the most part the material developed here can be classified as belonging to the gen eral body of results of parametric theory. Thus the probability density functions of the observations are assumed to be known, at least to within a finite number of unknown parameters in a known functional form. Of course the focus is on noise which is not Gaussian; results for Gaussian noise in the problems treated here become special cases. The contents also form a bridge between the classical results of signal detection in Gaussian noise and those of nonparametric and robust signal detection, which are not con sidered in this book. Three canonical problems of signal detection in additive noise are covered here. These allow between them formulation of a range of specific detection problems arising in applications such as radar and sonar, binary signaling, and pattern recognition and classification. The simplest to state and perhaps the most widely studied of all is the problem of detecting a completely known deterministic signal in noise. Also considered here is the detection random non-deterministic signal in noise. Both of these situa of a tions may arise for observation processes of the low-pass type and also for processes of the band-pass type.