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Friday, February 7, 2020 | History

3 edition of Advanced detectors and signal processing found in the catalog.

Advanced detectors and signal processing

Advanced detectors and signal processing

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Published by National Aeronautics and Space Administration, Langley Research Center in Hampton, Va .
Written in English

    Subjects:
  • Detectors.,
  • Signal processing.

  • Edition Notes

    StatementD.W. Greve, P.H.L. Rasky, and M.H. Kryder.
    SeriesNASA contractor report -- 178045., NASA contractor report -- NASA CR-178045.
    ContributionsRasky, P. H. L., Kryder, M. H., Langley Research Center.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15391791M

    This book is suited for final year graduate students, engineers and researchers in biomedical engineering and practicing engineers in biomedical science and medical physics. Zaman ed. This book was written to fill a void in the technical literature on radar. The book offers useful information both to engineers and physicians interested in bioacoustics, clearly demonstrating the current trends in lung sound analysis. Gardner - Prentice HallThis book is intended to serve as both a graduate-level textbook and a technical reference.

    Poor, G. The material motivates signals and systems through sound and images, as opposed to circuits. Anderson, J. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. This aids the reader in selecting the right method for his process application. Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications.

    Vaidyanathan - Morgan and Claypool PublishersLinear prediction theory has had a profound impact in the field of digital signal processing. Keywords Elektroenzephalografie Radiologieinformationssystem biomedical engineering classification detection electrocardiogram fuzzy heuristics metaheuristic modeling network optimization science signal processing wavelets Editors and affiliations. More information is available at Dr. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. Sidney Burrus, at al.


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Advanced detectors and signal processing book

Advanced denoising techniques that effectively circumvent the noise presence e. This book provides highlights of the current research in the area. Two new chapters on MIMO systems, correlation and Eigen analysis and independent component analysis Comprehensive coverage of advanced digital signal processing and noise reduction methods for communication and information processing systems Examples and applications in signal and information extraction from noisy data Comprehensive but accessible coverage of signal processing theory including probability models, Bayesian inference, hidden Markov models, adaptive filters and Linear prediction models Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis.

These materials assist considerably the user in evaluating the performances of their developed algorithms. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

Gray, L. Smith - California technical PublishingDigital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century.

Computer programs are provided. She has a patent granted to her credit related to generation of mother wavelet from speech signal. This book was written to fill a void in the technical literature on radar. Written for electrical engineers, communication engineers, etc.

It provides a description of the features of the slice as well as multiple examples that show you how to harness the power and flexibility of this IP block. In the present investigation, the frequency signature of some asymmetrical motor faults are well identified using advanced signal processing techniques, such as high-resolution spectral analysis.

In fact, experimental results clearly illustrate that stator current high-resolution spectral analysis is very sensitive to induction motor faults modifying main spectral components, such as voltage unbalance and single-phasing effects.

Matlab programming examples are included. Keywords chemometrics classification fault detection fault diagnosis multivariate statistics neural network neural networks process monitoring safety Authors and affiliations.

Now civilian enterprises can use government innovations to facilitate optimal functionality of complex real-time systems. The latter were traditionally analyzed and characterized by morphological changes in the time domain using statistical measures, by spectral properties in the frequency domain using simple spectral analysis, or by nonstationary properties in a joint time-frequency domain using short-time Fourier transform.

Richards' personal and Georgia Tech web pages.

Detection and Signal Processing

Rockmore, Jr, Dennis M. The book offers useful information both to engineers and physicians interested in bioacoustics, clearly demonstrating the current trends in lung sound analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the Tennessee Eastman plant simulator - demonstrating the strengths and weaknesses of each approach in detail.

Her Ph. Smith III - W3K PublishingAn introduction to digital filters, it covers mathematical theory, useful examples, audio applications, and some software starting points and Matlab programming examples. Orfanidis - Prentice HallAn applications-oriented introduction to digital signal processing.

This helps the reader, interested in a specific field, to assimilate easily the techniques dedicated to a given class of biosignals. Shaila Dinkar Apte completed her M. Readers are assumed to have basic grounding in probability and systems theory. Varaiya - Addison WesleyAn introduction to signals and systems for electrical engineering, computer engineering, and computer science students.

Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications. This paper takes the initial step to investigate the efficiency of current monitoring for diagnostic purposes.Master the signal processing knowledge and skillsessential to understand today's advanced radar signal processing in general radar systems books to seek more detailed treatments of signal models, waveforms, interference reduction, and detection, as well as to gain the foundation needed with the advanced topics of CFAR Detection.

Book. TOC. Actions. Share. Detection, Estimation, and Modulation Theory: Radar‐Sonar Signal Processing and Gaussian Signals in Noise. Provides a highly-readable discussion of Signal Processing and Noise; Features numerous problems and illustrations to help promote understanding of the topics; Contents are highly applicable to current.

Books shelved as signal-processing: Signals and Systems by Alan V. Oppenheim, Understanding Digital Signal Processing by Richard G.

Lyons, Digital Signal. Advanced Digital Signal Processing and Noise Reduction is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. For signal processing applocations, the monograph treats in detail the operational amplifier, signal averagers, waveform analyzers, correlation techniques and heterodyne detection.

Several original extensions are reported, especially for correlation devices and heterodyne detection with noise rejection. ment the signal processing algorithms discussed in Chapter 4, in real-time, for their software radio platform.

Signal Processing

I would like to thank many of my students for their valuable feedback on the first edition of this book. Finally, I thank my colleagues at IIT Kanpur, in particular Dr. S. C.

Random Signal Processing

Srivastava, Dr. V. Sinha (now retired from IITK), Dr.