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6791 results in Communications and signal processing

Page 91 of 340

The Probability Companion for Engineering and Computer Science
  • Adam Prügel-Bennett
  • Published online:
    03 January 2020
    Print publication:
    23 January 2020
  • This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

Advanced Digital Signal Processing of Seismic Data
  • Wail A. Mousa
  • Published online:
    24 December 2019
    Print publication:
    16 January 2020
  • Seismic data must be interpreted using digital signal processing techniques in order to create accurate representations of petroleum reservoirs and the interior structure of the Earth. This book provides an advanced overview of digital signal processing (DSP) and its applications to exploration seismology using real-world examples. The book begins by introducing seismic theory, describing how to identify seismic events in terms of signals and noise, and how to convert seismic data into the language of DSP. Deterministic DSP is then covered, together with non-conventional sampling techniques. The final part covers statistical seismic signal processing via Wiener optimum filtering, deconvolution, linear-prediction filtering and seismic wavelet processing. With over sixty end-of-chapter exercises, seismic data sets and data processing MATLAB codes included, this is an ideal resource for electrical engineering students unfamiliar with seismic data, and for Earth Scientists and petroleum professionals interested in DSP techniques.

  • 1 - The Why and How of Machines

  • Benoît Turquety
  • Book:
    Inventing Cinema
    Published by:
    Amsterdam University Press
    Published online:
    21 November 2020
    Print publication:
    17 October 2019, pp 25-74

  • Summary

    Abstract

    This chapter first establishes the fundamental definitions necessary to the construction of the approach: technique and technology, machine and dispositif. It discusses Foucault, Simondon, Crary, and Albera/ Tortajada in the process. It then argues that there is a fundamental link between machines, images, and movement within the history of culture. It analyses the apparatuses invented by Filippo Brunelleschi during the Renaissance, before exploring the depiction of machines from the Renaissance to industrial drawing. Given these relations, this chapter argues that machines should be considered as archives, materializing the history of performance gestures, and of the system they have been a part of. A detailed analysis of the camera obscura and its historical variants, connecting the histories of art, of spectacles and of science, exemplifies the approach.

    Keywords: Machine, technology, dispositif, Gilbert Simondon, camera obscura, media epistemology

    Today's proliferation of media, their base and equipment, has given urgency to the need to theorize the issues they raise and, consequently, have brought about the return to film theory and to media theory more generally of a vocabulary borrowed from a description of what Gilbert Simondon called ‘technical objects’: devices; instruments; machines; technologies; techniques; dispositifs. Because of the structural importance of these terms to the approach taken in this volume, it is important that we establish distinctions between them.

    A Few Definitions

    Technique/Technology

    Historically, ‘technology’ is a term initially used to describe a field of study that began in English- and German-speaking milieux, first by Christian Wolff in 1728 in his Preliminary Discoujrse on Philosophy in General, in which he invented the concept in its modern sense. His work had no concrete consequences, but was adopted more successfully as a simultaneously theoretical and pedagogical project by Johann Beckmann in 1772 and then in 1776 in the latter's Anleitung zur Technologie. Traces of it can be found in English in Jacob Bigelow's Elements of Technology of 1829. The goal of technology was to describe, classify, and analyse the technical operations of the mechanical arts, or ‘the science of the arts and of the works of art,’3 in the words of Christian Wolff.

Page 91 of 340