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Saturday, July 25, 2020 | History

1 edition of Digital Functions and Data Reconstruction found in the catalog.

Digital Functions and Data Reconstruction

Digital-Discrete Methods

by Li M. Chen

  • 381 Want to read
  • 20 Currently reading

Published by Springer New York, Imprint: Springer in New York, NY .
Written in English

    Subjects:
  • Computer Imaging, Vision, Pattern Recognition and Graphics,
  • Mathematics,
  • Computer vision,
  • Image and Speech Processing Signal,
  • Computer science

  • About the Edition

    Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformation, and data reconstruction. This new method has a unique feature in that it is mainly built on discrete mathematics with connections to classical methods in mathematics and computer sciences.

    Digitally continuous functions and gradually varied functions were developed in the late 1980s. A. Rosenfeld (1986) proposed digitally continuous functions for digital image analysis, especially to describe the “continuous” component in a digital image, which usually indicates an object. L. Chen (1989) invented gradually varied functions to interpolate a digital surface when the boundary appears to be continuous. In theory, digitally continuous functions are very similar to gradually varied functions. Gradually varied functions are more general in terms of being functions of real numbers; digitally continuous functions are easily extended to the mapping from one digital space to another.

    This will be the first book about digital functions, which is an important modern research area for digital images and digitalized data processing, and provides an introduction and comprehensive coverage of digital function methods. Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these topics.

    Edition Notes

    Statementby Li M. Chen
    ContributionsSpringerLink (Online service)
    Classifications
    LC ClassificationsT385, TA1637-1638, TK7882.P3
    The Physical Object
    Format[electronic resource] :
    PaginationXIX, 207 p. 64 illus., 22 illus. in color.
    Number of Pages207
    ID Numbers
    Open LibraryOL27032405M
    ISBN 109781461456384

    SlideBook comes standard with drivers to control hundreds of instruments in and around the microscope. Online, data is acquired in a native-3D format over time, color and specimen locations in customizable experiment protocols. Offline, data can be analyzed by a wide variety of tools for image processing including mathematical operations, statistics functions, analysis . a hardware device or software program that prevents a computer from writing data to an evidence drive. Software ___ typically alter interrupt write functions to a drive in a PC's BIOS. Hardware write-blockers are usually bridging devices between a drive and the forensic workstation.

    Sampling and Reconstruction in Digital Signal Processing CD converter digital signal processor DC converter Fig Ideal digital processing of analog signal CD converter produces a sequence from is processed in discrete-time domain to give DC converter creates from according to (): ()File Size: KB. Functions, Data, and Models helps undergraduates use mathematics to make sense of the enormous amounts of data coming their way in today's Information Age.. Drawing on the authors' extensive mathematical knowledge and experience, this textbook focuses on fundamental mathematical concepts and realistic problem-solving techniques that students must have to .

    Google Scholar Digital Library {HDD*92} Hoppe H., DeRose T., Duchamp T., McDonald J., Stuetzle W.: Surface reconstruction from unorganized points. Computer Graphics 26 (), Google Scholar Digital Library {Kaz05} Kazhdan M.: Reconstruction of solid models from oriented point sets. SGP (), Google Scholar Digital Library. List the five (5) categories of functions that are meant as guidelines for evaluating digital forensic tools, with subfunctions for refining data analysis and recovery and ensuring data quality. 1) Acquisition 2) Validation and Discrimination 3) Extraction 4) Reconstruction 5) Reporting.


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Digital Functions and Data Reconstruction by Li M. Chen Download PDF EPUB FB2

Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these by: 1.

Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these : Springer-Verlag New York.

Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these topics.

Digital Functions and Data Reconstruction: Digital-Discrete Methods presents scientists and engineers who cope with digital data a extremely accessible, sensible, and mathematically sound introduction to the highly effective theories of digital topology and practical evaluation, whereas avoiding the extra abstruse features of those subjects.

Based on discretely sampled data points, we want to build a continuous curve, surface, or solid data volume. Even though numerical methods such as Bezier polynomials and B-Splines are the most popular in computer graphics, we first introduce discrete functions and its applications to digital function interpolation here due to the nature of this : Li M.

Chen. The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. The book is divided into five sections: basic geometry; digital curves, surfaces and manifolds; discretely represented objects; geometric computation and processing; and advanced : Springer International Publishing.

The 7 Basic Functions of a Digital Library - Analysis of Focus Groups about the Usefulness of a Thematic Digital Library on the History of European Integration Conference Paper. ABB Robotics Technical reference manual RAPID Instructions, Functions and Data types.

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- Digital Functions and Data Reconstruction: Digital-Discrete Methods Stay safe and healthy. Please practice hand-washing and social distancing, and check out our resources for adapting to these times.

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signals, where an exact reconstruction of the source data is not required. The practically relevant bit rate reduction thatCited by: Digital image reconstruction using Zernike moments. for a few of them the reconstruction of the input function, in general, is poor.

as the Influenza data are digital images on disc, and. This chapter discusses sampling, quantization, and reconstruction aspects of analog-to-digital and digital-to-analog signal conversion processes with the help of suitable examples. The aliasing effect becomes evident, when the normalized frequency f/fs of the discrete signal becomes greater than or the Nyquist frequency.

where () T and ()-1 denote the transpose and the inverse of the given matrix. The operations ()-and () † stand for the left and right inverses, both are equal to the Moore-Penrose inverse, and are unique.

Among the multiple inverse solutions it chooses the one with minimum norm. When considering image reconstruction from moments, the number of moments required for accurate reconstruction Cited by: 2. Search the world's most comprehensive index of full-text books.

My library. The data is then multiplied by the filter function and inverse transformed. This allows multiple readouts of the forward transformed data from the TSM and multiple filtering of the same data set; the output of each filter will appear sequentially.

Drawback The data at the output of the forward FFT are in digit reverse order, it is then corrected by. Nicholas J. Horton and Ken Kleinman Incorporating the latest R packages as well as new case studies and applica-tions, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statisti-cal analysts.

New users of R will find the book’s simple approach easy to under.Digital Evidence and Computer Crime, Third Edition, provides the knowledge necessary to uncover and use digital evidence effectively in any kind of investigation.

It offers a thorough explanation of how computer networks function, how they can be involved in crimes, and how they can be used as a source of evidence.Reconstruction from Digital Holograms by Statistical Methods Saowapak Sotthivirat and Jeffrey A.

Fessler Abstract Conventional 'numerical reconstruction for digital holography using a filter applied in the spatial fre- quency domain to eztract the primanJ surement data recorded on a digital camera, where N is the number of measurement.