Last edited by Nazahn
Monday, August 3, 2020 | History

1 edition of SPC Toolbox found in the catalog.

SPC Toolbox

Dennis W. Brown

SPC Toolbox

an interactive MATLAB package for signal modeling and analysis, and communications

by Dennis W. Brown

  • 217 Want to read
  • 33 Currently reading

Published by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English

    Subjects:
  • SCHOOLS,
  • COMPUTER GRAPHICS,
  • SIGNAL PROCESSING,
  • COMPUTER AIDED INSTRUCTION

  • About the Edition

    This report presents the Signal Processing and Communications (SPC) software package. SPC is an interactive package designed to provide the user with a series of data manipulation tools which use MATLAB version 4 graphical interface controls. SPC includes various filtering techniques, AutoRegressive (AR) and linear Moving Average AutoRegressive (ARMA) modeling methods, speech processing and communication functions. SPC can be used in the classroom to illustrate and to reinforce basic concepts in signal processing and communications. It allows the user to concentrate on the principles presented in class instead of the details related to software usage. It can also be used as a basic analysis and modeling tool for research in signal processing. SPC was designed for Electrical Engineering applications. As a result, it is well suited to reinforce basic concepts presented in the following courses offered at the Naval Postgraduate School: EC 4410: Speech Processing, EC 4420: Modern Spectral Estimation, EC 3420: Statistical Digital Signal Processing, EC 3400: Digital Signal Processing, EC 2500: Communication Theory. We hope that users will find this package useful, and we welcome any comments and suggestions regarding this software at browndw ece.nps.navy.mil (until 6/94), or fargues ece.nps.navy.mil. AR Modeling, ARMA Modeling, Filtering, Signal processing, Communications, Speech processing, Engineering software, Educational software.

    Edition Notes

    Other titlesNPS-EC-93-017.
    Statementby Dennis W. Brown and Monique P. Fargues
    ContributionsFargues, Monique P., Naval Postgraduate School (U.S.). Dept. of Electrical and Computer Engineering
    The Physical Object
    Pagination4, 2, 113. p. :
    Number of Pages113
    ID Numbers
    Open LibraryOL25498632M

    International Shoppers, AIAG has established a global network of Certified Publication Distributors. You can now order publications direct from our Certified Distributors in most countries to save on freight and duty charges. AIAG's Core Tools SupportTM (CTS) software was designed with industry feedback every step of the way.   The Quality Toolbox is a comprehensive reference to a variety of methods and techniques: those most commonly used for quality improvement, many less commonly used, and some created by the author and not available elsewhere. The reader will find the widely used seven basic quality control tools (for example, fishbone diagram, and Pareto chart) as well as /5(3).

    The Toolbox book. Read 22 reviews from the world's largest community for readers. Anne and Harlow Rockwell's preschool classic still shines with a well-c /5. Statistical Pattern Recongition Toolbox for Matlab. Release history. Version , jan Removed XTAL regression package which truned out to contain proprietary code.

    The Quality Toolbox, Second Edition is a digital reference to a variety methods and techniques to improve quality in the workplace. Shop ASQ for discounts! Member Price: $ .   SPC is a tool. I think if you have a continuous improvement philosophy of PDCA without SPC you are “more lean” (again, I hesitate to say that) than if you have SPC without the right mindset. An SPC chart. We used SPC, badly, at .


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SPC Toolbox by Dennis W. Brown Download PDF EPUB FB2

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SPC is an interactive package designed to provide the user with a series of data manipulation tools which use MATLAB version 4 graphical interface controls.

SPC includes various filtering techniques, AutoRegressive (AR) and linear Moving Average AutoRegressive (ARMA) modeling methods, speech processing and communication : The book includes broad coverage of SPC, adjustments, and time series.

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