Last edited by Kakazahn
Friday, May 8, 2020 | History

4 edition of Signal-processing algorithm development for the ACLAIM sensor found in the catalog.

Signal-processing algorithm development for the ACLAIM sensor

Signal-processing algorithm development for the ACLAIM sensor

final report: gust detection, under cooperative agreement no. NCC4-0014.

  • 107 Want to read
  • 19 Currently reading

Published by Alabama A&M University, Office of Research and Development, National Aeronautics and Space Administration, National Technical Information Service, distributor in Normal, Ala, [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Signal processing,
  • Message processing,
  • Optical radar,
  • Extrapolation,
  • Algorithms

  • Edition Notes

    Other titlesSignal processing algorithm development for the ACLAIM sensor.
    Series[NASA contractor report] -- 206359., NASA contractor report -- NASA CR-206359.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL17574795M
    OCLC/WorldCa40341289

    Digital signal processing Analog/digital and digital/analog converter, CPU, DSP, ASIC, FPGA. Advantages: → noise is easy to control after initial quantization → highly linear (within limited dynamic range) → complex algorithms fit into a single chip → flexibility, parameters can easily be varied in software → digital processing is insensitive to component tolerances, aging. Audio Signal Processing and Coding (Book) Method and system for determining an auditory pattern of an audio segment (Patent) A frequency/detector pruning approach for loudness estimation; Analysis of the MPEG-1 Layer-III (MP3) Algorithm using MATLAB (Book) MATLAB software for the Code Excited Linear Prediction Algorithm: The Federal Standard.

    This book is about the topic of signal processing, especially the topics of signal analysis and filtering. We will cover advanced filter theories, including adaptive Wiener and Kalman filters, stationary and non-stationary signals, beamforming, and wavelet analysis. The Digital Signal Processing book will lay many foundations about digital systems that will be used in this book. The reader is strongly encouraged to either read both these books simultaneously, or to read the beginning sections of Digital Signal Processing first before reading this book.

    Mathematics of Signal Processing: A First Course Charles L. Byrne Department of Mathematical Sciences University of Massachusetts Lowell Lowell, MA TÜLAY ADALI, PhD, is Professor of Electrical Engineering and Director of the Machine Learning for Signal Processing Laboratory at the University of Maryland, Baltimore County. Her research interests are in statistical and adaptive signal processing, with emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications.


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Signal-processing algorithm development for the ACLAIM sensor Download PDF EPUB FB2

Signal-Processing Algorithm Development for the ACLAIM Sensor. DEVELOPMENT FOR THE ACLAIM SENSOR. Final Report: in ACLAIM signal processing from a. Get this from a library. Signal-processing algorithm development for the ACLAIM sensor: final report: gust detection, under cooperative agreement no.

NCC [Scott Von Laven; United States. National Aeronautics and Space Administration.]. For example, in a cellular phone, the speech coding signal processing algorithm must be executed to match the speed of normal conversation. An implementation of a real-time signal processing application has three special characteristics: (1) Input signal samples are.

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– 14), divided by the number of documents in these three previous years (e.g. – 14). Abstract. This chapter provides an overview of a few signal processing techniques related to sensing phenomenon.

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As a result, the book’s emphasis is more on signal processing than discrete-time system theory, although the basic principles of the latter are adequately covered. The book teaches by example and takes a hands-on practical approach that empha-sizes the algorithmic, computational, and programming aspects of DSP.

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