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  • 1
    Monograph available for loan
    Monograph available for loan
    New York : Wiley
    Call number: MOP 46630 / Mitte
    Type of Medium: Monograph available for loan
    Pages: Seite 1-183, 218-239, 247-281
    ISBN: 047189804X
    Series Statement: A Wiley-Interscience publication
    Language: English
    Note: Contents Chapter 1. Major Fields of Application [1.1] Introduction [1.2] Medicine; X-ray Computed Tomography [1.3] Medicine; Emission Computed Tomography [1.4] Medicine; Ultrasound CT [1.5] Astronomy [1.6] Electron Microscopy [1.7] Nuclear Magnetic Resonance [1.8] Optics [1.9] Stress Analysis, Geophysics, and Other Areas [1.10] References Chapter 2. Definition of the Radon Transform [2.1] Introduction [2.2] Two Dimensions [2.3] Three Dimensions [2.4] Extension to Higher Dimensions [2.5] Some Important Examples Chapter 3. Basic Properties [3.1] Introduction [3.2] Homogeneity [3.3] Linearity [3.4] Transform of a Linear Transformation [3.5] Shifting Property [3.6] Transform of Derivatives [3.7] Transforms Involving Hermite Polynomials [3.8] Transforms Involving Laguerre Polynomials [3.9] Derivatives of the Transform [3.10] Transform of Convolution Chapter 4. Relation to Other Transforms [4.1] Introduction [4.2] Relation to the Fourier Transform [4.3] Relation to the Gegenbauer Transform [4.4] Relation to the Hough Transform Chapter 5. Inversion [5.1] Introduction [5.2] Odd Dimension [5.3] Even Dimension [5.4] Unification and the Adjoint [5.5] Fourier Methods Chapter 6. Recent Development of Inversion Methods [6.1] Introduction [6.2] Projection-Slice Theorem [6.3] Backprojection [6.4] Backprojection of Filtered Projections [6.5] Filter of Backprojections [6.6] Iterative Methods [6.7] Three-dimensional Methods [6.8] Categorized References Chapter 7. Series Methods [7.1] Introduction [7.2] Gegenbauer Transform Pair [7.3] Circular Harmonic Expansion ( n = 2) [7.4] Spherical Harmonic Expansion (n = 3) [7.5] A Tchebycheff Transform Pair of the Second Kind [7.6] Orthogonal Function Expansions on the Unit Disk [7.7] Orthogonal Function Expansions Over the Entire Plane [7.8] Other Approaches Chapter 8. More Properties, Applications, and Generalizations [8.1] Introduction [8.2] Characterization of the Transform [8.3] A Discrete Version [8.4] Picture Restoration [8.5] Transformations in Geophysics [8.6] The Integral Equation of Potential Scattering [8.7] Partial Differential Equations [8.8] Generalizations and Other Uses Appendix A. Translation of Radon's 1917 Paper Appendix B. Generalized Functions Appendix C. Special Functions References Index
    Location: MOP - must be ordered
    Branch Library: GFZ Library
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  • 2
    Publication Date: 1978-11-01
    Print ISSN: 0022-2488
    Electronic ISSN: 1089-7658
    Topics: Mathematics , Physics
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  • 3
    Publication Date: 2011-08-19
    Description: Various methods for detecting narrow-band signals are evaluated. The characteristics of synchronized and unsynchronized pulses are examined. Synchronous, square law, regular pulse, and the general form detections are discussed. The CW, single pulse, synchronous, and four pulse detections are analyzed in terms of false alarm rate and threshold relative to average noise power. Techniques for saving memory and retaining sensitivity are described. Consideration is given to nondrifting CW detection, asynchronous pulse detection, interpolative and extrapolative pulse detectors, and finite and infinite pulses.
    Keywords: SPACE SCIENCES (GENERAL)
    Format: text
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  • 4
    Publication Date: 2019-06-28
    Description: The Search for Extraterrestrial Intelligence (SETI), currently being planned at NASA, will require that an enormous amount of data (on the order of 10 exp 11 distinct signal paths for a typical observation) be analyzed in real time by special-purpose hardware. Even though the SETI system design is not based on maximum entropy and Bayesian methods (partly due to the real-time processing constraint), it is expected that enough data will be saved to be able to apply these and other methods off line where computational complexity is not an overriding issue. Interesting computational problems that relate directly to the system design for processing such an enormous amount of data have emerged. Some of these problems are discussed, along with the current status on their solution.
    Keywords: SPACE SCIENCES (GENERAL)
    Type: ; : Astrophysical mase
    Format: text
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  • 5
    Publication Date: 2019-06-28
    Description: The Search for Extraterrestrial Intelligence, currently being planned by NASA, will require that an enormous amount of data be analyzed in real time by special purpose hardware. It is expected that overlapped Hann data windows will play an important role in this analysis. In order to understand the statistical implication of this approach, it has been necessary to compute detection statistics for overlapped Hann spectra. Tables of signal detection statistics are given for false alarm rates from 10(exp -14) to 10(exp -1) and signal detection probabilities from 0.50 to 0.99; the number of computed spectra ranges from 4 to 2000.
    Keywords: STATISTICS AND PROBABILITY
    Type: NASA-TM-103830 , A-91037 , NAS 1.15:103830
    Format: application/pdf
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  • 6
    Publication Date: 2019-07-13
    Description: The purpose of the research reported here is to provide a rapid computational method for computing various statistical parameters associated with overlapped Hann spectra. These results are important for the Targeted Search part of the Search for ExtraTerrestrial Intelligence (SETI) Microwave Observing Project.
    Keywords: COMMUNICATIONS AND RADAR
    Type: NASA-CR-193602 , NAS 1.26:193602
    Format: application/pdf
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  • 7
    Publication Date: 2019-07-12
    Description: A system and method for analyzing a medical image to determine whether an abnormality is present, for example, in digital mammograms, includes the application of a wavelet expansion to a raw image to obtain subspace images of varying resolution. At least one subspace image is selected that has a resolution commensurate with a desired predetermined detection resolution range. A functional form of a probability distribution function is determined for each selected subspace image, and an optimal statistical normal image region test is determined for each selected subspace image. A threshold level for the probability distribution function is established from the optimal statistical normal image region test for each selected subspace image. A region size comprising at least one sector is defined, and an output image is created that includes a combination of all regions for each selected subspace image. Each region has a first value when the region intensity level is above the threshold and a second value when the region intensity level is below the threshold. This permits the localization of a potential abnormality within the image.
    Keywords: Instrumentation and Photography
    Format: application/pdf
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