'Sampling theory' diaporamas de présentation

Class 2 Statistical Inference

1.31k views • 110 slides

CSCE 641 Computer Graphics: Image Sampling and Reconstruction

CSCE 641 Computer Graphics: Image Sampling and Reconstruction. Jinxiang Chai. Review: 1D Fourier Transform. A function f(x) can be represented as a weighted combination of phase-shifted sine waves How to compute F(u) ?. Inverse Fourier Transform. Fourier Transform. Review: Box Function.

1.28k views • 107 slides

Observational procedures and data reduction Lecture 2: Sampling images

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Digital Coding of Analog Signal

Digital Coding of Analog Signal. Electronics Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat-395007. Prepared By: Amit Degada Teaching Assistant. Outline. Analog To Digital Converter Review of sampling Nyquist sampling theory: frequency and time domain

368 views • 36 slides

Reconciling Spacetime Continuity and Discreteness using Information Theory

Reconciling Spacetime Continuity and Discreteness using Information Theory. Achim Kempf Departments of Applied Mathematics and Physics, University of Waterloo Perimeter Institute for Theoretical Physics Waterloo, Ontario, Canada Napoli, October 17, 2008. Summary. Problem:

419 views • 35 slides

Antialiasing

Antialiasing. CMSC 435/634. Original Scene. Luminosity. Pixel Sampling. Samples. Displayed Image. Luminosity. What went wrong?. Aliasing. Visual artifacts Jagged lines and edges High frequencies appearing as low Small objects missed T exture distortions Strobing and popping

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PSY 402

259 views • 14 slides

Media format

232 views • 13 slides

Welcome to ECE6580 DSP Implementation

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Chapter 14

Chapter 14. Sampling. Learning Objectives. Understand . . . The two premises on which sampling theory is based. The accuracy and precision for measuring sample validity. The five questions that must be answered to develop a sampling plan. Learning Objectives. Understand . . .

97 views • 5 slides