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Books on the topic 'Power Spectral Density'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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1

Shinozuka, Masanobu. Power spectral density functions compatible with NRC regulatory guide 1.60 response spectra. Division of Engineering, Division of Reactor Accident Analysis, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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2

Noback, R. The deterministic power-spectral-density method for linear systems. National Aerospace Laboratory, 1992.

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3

Noback, R. The deterministic power-spectral-density-method for nonlinear systems. National Aerospace Laboratory, 1992.

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4

S, Pototzky Anthony, Woods Jessica A, and Langley Research Center, eds. An investigation of the "overlap" between the Statistical Discrete Gust and the Power Spectral Density analysis methods. National Aeronautics and Space Administration, Langley Research Center, 1989.

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5

Obarski, Gregory E. NIST Measurement Services: Measurement Assurance Program for the spectral density of relative intensity noise of optical fiber sources near 1550 nm. U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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6

1952-, Bernhard Robert, and United States. National Aeronautics and Space Administration., eds. Vibrational power flow analysis of rods and beams. Purdue University, 1988.

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7

F, Shandarin Sergei, Weinberg David Hal, and United States. National Aeronautics and Space Administration., eds. A test of the adhesion approximation for gravitational clustering. National Aeronautics and Space Administration, 1995.

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8

Adrian, Melott, Wei A. G, and United States. National Aeronautics and Space Administration., eds. Testing higher-order Lagrangian perturbation theory against numerical simulations. National Aeronautics and Space Administration, 1995.

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9

L, Melott A., Wei A. G, and United States. National Aeronautics and Space Administration., eds. Testing higher-order Lagrangian perturbation theory against numerical simulations. National Aeronautics and Space Administration, 1995.

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10

Power spectral density analysis of wind-shear turbulence for related flight simulations. Michigan Technological University, 1988.

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11

Carbone, Chris. Power Spectral Density Estimation by Example: Fundamentals of PSD Estimation Using R. Carbone, Chris, 2022.

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12

Signal Synthesis With Dynamically-Changed Power Spectral Density in a Software Defined Radio Transmitter. Storming Media, 2003.

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13

Howard, Roy M. Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and Its Applications. Wiley & Sons, Incorporated, John, 2004.

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14

Howard, Roy M. Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and Its Applications. Wiley & Sons, Incorporated, John, 2008.

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15

Principles of random signal analysis and low noise design: The power spectral density and its applications. Wiley-Interscience, 2002.

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16

Principles of Random Signal Analysis and Low Noise Design: The Power Spectral Density and Its Applications. Ieee, 2003.

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17

Wright, A. G. Environmental considerations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0012.

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Magnetic fields, with a magnitude comparable with that of the earth (10−4 tesla), affect trajectories of electrons and hence gain and collection efficiency. The inclusion of a high-permeability shield usually offers sufficient protection. Photomultiplier (PMT) performance is affected by electric field gradients generated by the proximity of a metal housing. The design criteria of such housings are discussed. Strong magnetic fields of the order of a tesla require special devices. Operation in harsh environments such as those encountered in oil well logging requires performance at high temperatu
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18

Testing higher-order Lagrangian perturbation theory against numerical simulations. National Aeronautics and Space Administration, 1995.

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19

Berber, Stevan. Discrete Communication Systems. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.001.0001.

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The book present essential theory and practice of the discrete communication systems design, based on the theory of discrete time stochastic processes, and their relation to the existing theory of digital communication systems. Using the notion of stochastic linear time invariant systems, in addition to the orhogonality principles, a general structure of the discrete communication system is constructed in terms of mathematical operators. Based on this structure, the MPSK, MFSK, QAM, OFDM and CDMA systems, using discrete modulation methods, are deduced as special cases. The signals are processe
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