'Fourier spectrum' presentation slideshows

Fourier Transform J.B. Fourier 1768-1830

Fourier Transform J.B. Fourier 1768-1830. Image Enhancement in the Frequency Domain 1-D. A. A. sin(x). 3 sin(x). B. + 1 sin(3x). A+B. + 0.8 sin(5x). C. A+B+C. + 0.4 sin(7x). D. A+B+C+D. A sum of sines and cosines. =. Fourier spectrum of step function.

2.35k views • 114 slides

DREAM

DREAM. IDEA. PLAN. IMPLEMENTATION. Introduction to Image Processing. Present to: Amirkabir University of Technology (Tehran Polytechnic) & Semnan University. Dr. Kourosh Kiani Email: kkiani2004@yahoo.com Email: Kourosh.kiani@aut.ac.ir Email : Kourosh.kiani@semnan.ac.ir

1.25k views • 102 slides

On the Trend, Detrend and the Variability of Nonlinear and Nonstationary Time Series

On the Trend, Detrend and the Variability of Nonlinear and Nonstationary Time Series. Norden E. Huang Research Center for Adaptive Data Analysis National Central University, Taiwan. Satellite Altimeter Data : Greenland. Two Sets of Data. IPCC Global Mean Temperature Trend.

1.12k views • 90 slides

1) Status of the Muon g-2 Experiment 2) EDM Searches in Storage Rings

791 views • 59 slides

Influence and Noise

Influence and Noise. Gil Kalai Hebrew University of Jerusalem, Yale University Microsoft R&D, Israel ICS2011, Beijing January 2011. Part I: Influence. Cause. When does event A cause event B?

798 views • 57 slides

Theoretical and Experimental Considerations of Past and Future Muon g-2 Measurements

593 views • 44 slides

The Fourier Transform

The Fourier Transform. Jean Baptiste Joseph Fourier. Image Operations in Different Domains. 3 X 3 Average. 5 X 5 Average. +. =. Original histogram. Equalized histogram. Noisy image (Salt & Pepper noise). Original image. Gradient magnitude. Blurry Image. Laplacian. Sharpened Image.

478 views • 29 slides

Learning Decision Trees using the Fourier Spectrum

Learning Decision Trees using the Fourier Spectrum. By Eyal Kushilevitz Yishay Mansour. What is Learning. What are we Learning?. Term (and of literals (. DNF (or of terms). DT , : See latter. Does always. All inputs. We Want:. Randomized Algorithm. Do we always succeed ?.

451 views • 27 slides

Transforms: Basis to Basis

444 views • 19 slides

Chapter-4 Synthesis and Analysis of Complex Waves

Chapter-4 Synthesis and Analysis of Complex Waves. Fourier Synthesis: The process of combining harmonics to form a complex wave. Fourier Analysis: Determining the harmonic content of a complex wave. Synthesis of Complex Waves. http://www.phy.ntnu.edu.tw/ntnujava/index.php?topic=17.

586 views • 18 slides

Computational Vision CSCI 363, Fall 2018 Lecture 19 Review for Exam 2

Computational Vision CSCI 363, Fall 2018 Lecture 19 Review for Exam 2. Intersection of Constraints. Consider the plaid grating drawn below. The velocity vector associated with one component is v1 = (-1, 1). The velocity vector associated with the second component is v2 = (2, 0).

119 views • 11 slides

TVF: Theoretical Basis

TVF: Theoretical Basis.

182 views • 6 slides

EOF Analysis

EOF Analysis. EOF analysis. The empirical orthogonal function (EOF) analysis is a decomposition of a signal or data set in terms of orthogonal base functions which are determined from the data. It is also called principal component analysis.

402 views • 6 slides