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Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations. T. S. Bastian NRAO. Observation: use of an instrument to acquire signals Data reduction: conversion of signals to conventional (e.g., international system) units - Always involves calibrations

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891 views • 71 slides
Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations. T. S. Bastian NRAO. Observation: use of an instrument to acquire signals Data reduction: conversion of signals to conventional (e.g., international system) units - Always involves calibrations

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860 views • 71 slides
Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations

Reduction and Analysis of Solar Radio Observations. T. S. Bastian NRAO. Notes available on Summer School website: Continuum Radiative Transfer and Emission Mechanisms Electromagnetic Waves in a Plasma Radio Interferometry and Fourier Synthesis Imaging

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748 views • 71 slides
Fourier Analysis of Stochastic Sampling For Assessing Bias and Variance in Integration

Fourier Analysis of Stochastic Sampling For Assessing Bias and Variance in Integration

Fourier Analysis of Stochastic Sampling For Assessing Bias and Variance in Integration. Kartic Subr , Jan Kautz University College London. g reat sampling papers. Spectral analysis of sampling must be IMPORTANT!. BUT WHY?. numerical integration, you must try.

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607 views • 60 slides
Antialiasing

Antialiasing

Antialiasing. CS 319 Advanced Topics in Computer Graphics John C. Hart. Aliasing. Aliasing occurs when signals are sampled too infrequently, giving the illusion of a lower frequency signal alias noun (c. 1605) an assumed or additional name f (t) = sin 1.9 ? t Plotted for t ? [1,20]

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465 views • 35 slides
Channel State Estimation in Rapidly Time-Varying Environments Michael Larsen, A. Lee Swindlehurst

Channel State Estimation in Rapidly Time-Varying Environments Michael Larsen, A. Lee Swindlehurst

Channel State Estimation in Rapidly Time-Varying Environments Michael Larsen, A. Lee Swindlehurst Brigham Young University Haran Arasaratnam, Simon Haykin McMaster University MURI Annual Review September 14, 2006. Background. Joint work between BYU & McMaster University

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251 views • 19 slides
Signals and Systems Fall 2003 Lecture #13 21 October 2003

Signals and Systems Fall 2003 Lecture #13 21 October 2003

Signals and Systems Fall 2003 Lecture #13 21 October 2003. 1. The Concept and Representation of Periodic Sampling of a CT Signal 2. Analysis of Sampling in the Frequency Domain 3. The Sampling Theorem —the Nyquist Rate 4. In the Time Domain: Interpolation

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309 views • 16 slides
Natural Sampling Spectrum

Natural Sampling Spectrum

Natural Sampling Spectrum. Instantaneous Sampling (Flat-Top PAM) . Transform of a Sa(t). Using the sampling function. Example 3-3. Binary Signaling . Multilevel Signaling .

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439 views • 7 slides

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