Książki na temat „Signal to noise ratio”

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1

Sivathevan, T. Signal to quantization noise ratio. London: University of East London, 1994.

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2

Curran, Paul J. Estimating the signal-to-noise ratio of AVIRIS data. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1989.

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3

J, Curran Paul. Estimating the signal-to-noise ratio of AVIRIS data. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1989.

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4

J, Curran Paul. Estimating the signal-to-noise ratio of AVIRIS data. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1989.

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5

United States. National Telecommunications and Information Administration., red. Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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6

Robinson, A. P. The relationship between vision carrier-to-noise ratio and picture signal-to-noise ratio ina system 1 television receiver. London: BBC, 1987.

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7

Halford, Donald. Transparent metrology of signal to noise ratios of noisy band-limited digital signals. Washington, D.C: U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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8

Walsh, Norman J. Bandwidth and signal-to-noise ratio enhancement of the NPS Transient Electromagnetic Scattering Laboratory. Monterey, Calif: Naval Postgraduate School, 1989.

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9

Jones, Michael G. A comparison of signal enhancement methods for extracting tonal acoustic signals. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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10

Matthew, Sneddon, i Langley Research Center, red. Laboratory study of the noticeability and annoyance of sounds of low signal-to-noise ratio. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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11

Manning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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12

Manning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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13

Manning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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14

Manning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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15

S, Daugherty Elaine, Kramarchuk Ihor i United States. National Aeronautics and Space Administration., red. Automated measurement of the bit-error rate as a function of signal-to-noise ratio for microwave communications systems. [Washington, D.C.]: National Aeronautics and Space Administration, 1987.

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16

Meadows, Michael E. An evaluation of using the noise-to-signal ratio to determine the smoothing constant in exponential smoothing for inventory control. Monterey, Calif: Naval Postgraduate School, 1996.

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17

United States. National Aeronautics and Space Administration., red. Optical correlation of images with signal-dependent noise using constrained-modulation filter devices. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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18

United States. National Aeronautics and Space Administration., red. REAL-TIME IN SITU SIGNAL-TO-NOISE RATIO ESTIMATION FOR THE ASSESSMENT OF OPERATIONAL..., NASA/TM--2002-211703... NATIONAL AERONAUTICS AND SP. [S.l: s.n., 2003.

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19

United States. National Aeronautics and Space Administration., red. Atmospherically related studies of O(¹D) and O₂(b¹[Sigma, subscript g, superscript +]): Annual report. [Menlo Park, Calif.]: SRI International, 1998.

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20

B, Statham Richard, i Langley Research Center, red. Performance assessment of the Digital Array Scanned Interferometer (DASI) concept. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.

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21

W, Spencer Roy, McNider Richard T i United States. National Aeronautics and Space Administration., red. Reducing noise in the MSU daily lower-tropospheric global temperature dataset. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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22

W, Spencer Roy, McNider Richard T i United States. National Aeronautics and Space Administration., red. Reducing noise in the MSU daily lower-tropospheric global temperature dataset. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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23

Dilsavor, Ronald Louis. Analysis of modified SMI method for adaptive array weight control. Washington, DC: National Aeronautics and Space Administration, 1989.

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24

United States. National Aeronautics and Space Administration., red. Semi-annual status report: Error control techniques for sattellite and space communications : NASA grant number NAG5-557. [Washington, DC: National Aeronautics and Space Administration, 1989.

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25

United States. National Aeronautics and Space Administration., red. Advanced water vapor lidar detection system: Final report. [Washington, DC: National Aeronautics and Space Administration, 1998.

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26

Signal & noise. New York: Picador, 2003.

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27

R, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.

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28

Hinedi, Sami M. High-dynamic GPS tracking: Final report. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1988.

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29

A, Landgrebe D., National Science Foundation (U.S.) i United States. National Aeronautics and Space Administration., red. HIRIS performance study. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1989.

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30

1938-, Huijsing Johan H., Plassche Rudy van de, Sansen Willy M. C i Workshop of Advances in Analogue Circuit Design (7th : 1998 Copenhagen, Denmark), red. Analog circuit design: Volt electronics, mixed-mode systems, low-noise and RF power amplifiers for telecommunication. Boston, Mass: Kluwer Academic Publishers, 1999.

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31

Dave, McKean, red. Signal to Noise. London: Gollancz, 1992.

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32

Dave, McKean, red. Signal to noise. Wyd. 2. Milwaukie, Or: Dark Horse, 2007.

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33

Signal to noise. New York: Avon Eos, 1999.

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34

Signal to noise. New York: Avon/Eos, 1998.

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35

Signal processing noise. Boca Raton, FL: CRC Press, 2003.

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36

Sinclair, Carla. Signal to noise. [San Francisco]: HarperEdge, 1997.

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37

Veshkurtsev, Yury. THE FOUNDATIONS OF THE THEORY OF CONSTRUCTION OF NEW-GENERATION MODEMS. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_628a8925151ca0.71125494.

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Streszczenie:
The monography presents the fundamentals of the theory of construction new-generation modems. Modems are built on the principles of statistical communication theory, based on the use of a random signal (chaos) as a carrier of information. In such a signal, a characteristic function is modulated, which is a fundamental characteristic of a random process. The signal modulation and demodulation method is patented and allows you to create modems with efficiency and noise immunity indicators several orders of magnitude higher than those of the known devices of the same name. New-generation modems immediately improve the technical characteristics of digital IT equipment by several orders of magnitude, since they work without errors in wired and radio channels when receiving one hundred duodecillion of binary symbols. The book is recommended for scientists and specialists in the field of digital communication systems, statistical radio engineering and instrumentation, and may be useful for graduate students, masters and students of relevant specialties.
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38

United States. National Aeronautics and Space Administration., red. Ultra-high bypass ratio jet noise. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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39

United States. National Aeronautics and Space Administration., red. Ultra-high bypass ratio jet noise. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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40

United States. National Aeronautics and Space Administration., red. Ultra-high bypass ratio jet noise. [Washington, D.C.]: National Aeronautics and Space Administration, 1994.

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41

Trauth, Martin H. Signal and Noise in Geosciences. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74913-2.

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42

Electronics, noise, and signal recovery. London: Academic Press, 1993.

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43

Boon, Tan ja. The photographic: Signal or noise. Redaktorzy Germann Martin 1974- i Stedelijk Museum voor Actuele Kunst (Ghent, Belgium). Amsterdam: Roma Publications, 2019.

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44

John, Vallerga, i United States. National Aeronautics and Space Administration., red. A search for EUV emission from the O4f star Zeta Puppis: EUVE final report, 16 March 1995-12 November 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.

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45

John, Vallerga, i United States. National Aeronautics and Space Administration., red. A search for EUV emission from the O4f star Zeta Puppis: EUVE final report, 16 March 1995-12 November 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.

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46

John, Vallerga, i United States. National Aeronautics and Space Administration., red. A search for EUV emission from the O4f star Zeta Puppis: EUVE final report, 16 March 1995-12 November 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.

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47

Robertson, Brady. Signal to Noise Ratio. Independently Published, 2017.

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48

Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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49

Estimation of system gain and bias using noisy observations with known noise power ratio. [Boulder, Colo.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2002.

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50

Taguchi, Genichi. Taguchi Methods: Signal-To-Noise Ratio for Quality Evaluation (Taguchi Methods Series). Irwin Professional Publishing, 1993.

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