By Joshua Tanner and Ronald Doung Math 320 3/15/10

Slides:



Advertisements
Similar presentations
Signals and Fourier Theory
Advertisements

The Fourier Transform I
Computer Vision Lecture 7: The Fourier Transform
Wavelets and Data Compression
Basic Properties of signal, Fourier Expansion and it’s Applications in Digital Image processing. Md. Al Mehedi Hasan Assistant Professor Dept. of Computer.
Digital Image Processing
Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L  ) L -L L  -L  - 
中華大學 資訊工程系 Fall 2002 Chap 5 Fourier Series. Page 2 Fourier Analysis Fourier Series Fourier Series Fourier Integral Fourier Integral Discrete Fourier Transform.
Chapter 3 The Fourier Series EE 207 Adil S. Balghonaim.
Linear Filtering – Part II Selim Aksoy Department of Computer Engineering Bilkent University
Fourier Transforms - Solving the Diffusion Equation.
Math for CSTutorial 101 Fourier Transform. Math for CSTutorial 102 Fourier Series The series With a n and b n generated by Is called a Fourier series.
The Fourier Transform Jean Baptiste Joseph Fourier.
Digital Image Processing Chapter 4: Image Enhancement in the Frequency Domain.
Analyzing Sound Mary Ellen Connor Kathy Crowley Judith Doherty Ginny Giordano Cat MacDonald JUNE 2002 WPI Mathematics in Industry Institute.
Digital Image Processing Chapter 4: Image Enhancement in the Frequency Domain.
Variable Phenomena Nyquist Sampling Harry Nyquist (1889 – 1976)
The Fourier Transform Jean Baptiste Joseph Fourier.
Basics of Signal Processing. frequency = 1/T  speed of sound × T, where T is a period sine wave period (frequency) amplitude phase.
Computer Vision Spring ,-685 Instructor: S. Narasimhan Wean 5403 T-R 3:00pm – 4:20pm.
University of Ioannina - Department of Computer Science Filtering in the Frequency Domain (Fundamentals) Digital Image Processing Christophoros Nikou
Basics of Signal Processing. SIGNALSOURCE RECEIVER describe waves in terms of their significant features understand the way the waves originate effect.
G Practical MRI 1 The Fourier Transform
Fourier Analysis Fourier Series: A Fourier series is a representation of a function using a series of sinusoidal functions of different “frequencies”.
Fourier (1) Hany Ferdinando Dept. of Electrical Eng. Petra Christian University.
Jean Baptiste Joseph Fourier
Fourier series. The frequency domain It is sometimes preferable to work in the frequency domain rather than time –Some mathematical operations are easier.
Fourier Series and Transforms Clicker questions. Does the Fourier series of the function f converge at x = 0? 1.Yes 2.No 0 of 5 10.
Japan Earthquake 3/11/2011 Climate and Milankovich Cycles.
Signals And Systems Chapter 3 Fourier Transform 2.
Digital Image Processing Chapter 4 Image Enhancement in the Frequency Domain Part I.
October 29, 2013Computer Vision Lecture 13: Fourier Transform II 1 The Fourier Transform In the previous lecture, we discussed the Hough transform. There.
2009/10/26 System Arch 1 OUTLINE Periodic Signal Fourier series introduction Sinusoids Orthogonality Integration vs inner product.
Pre-Class Music Paul Lansky Six Fantasies on a Poem by Thomas Campion.
Verfahrenstechnische Produktion Studienarbeit Angewandte Informationstechnologie WS 2008 / 2009 Fourier Series and the Fourier Transform Karl Kellermayr.
CE Coding and Transformations Sept - Nov 2010.
CS559: Computer Graphics Lecture 3: Digital Image Representation Li Zhang Spring 2008.
Superposition. Fourier Series Constructive Interference of a pulse.
2D Fourier Transform.
The Spectrum n Jean Baptiste Fourier ( ) discovered a fundamental tenet of wave theory.
Jean Baptiste Joseph Fourier 1768 – 1830 Jean Baptiste Joseph Fourier 1768 – 1830 Fourier studied the mathematical theory of heat conduction. He established.
The Frequency Domain Digital Image Processing – Chapter 8.
SUB: ADVANCEDE EN GINEERING MATHEMATICS ( ).
MEASUREMENTS IN FREQUENCY DOMAIN: GENERAL ASPECTS.
The Fourier Transform.
CE Coding and Transformations April – June 2011.
Then,  Fourier Series: Suppose that f(x) can be expressed as the following series sum because Fourier Series cf. Orthogonal Functions Note: At this point,
Jean Baptiste “Joseph Fourier” By Muhammed Al-walker.
Fourier Analysis Patrice Koehl Department of Biological Sciences National University of Singapore
Digital Image Processing Lecture 8: Fourier Transform Prof. Charlene Tsai.
Present by SUBHRANGSU SEKHAR DEY
Fourier Transforms - Solving the Diffusion Equation
The Fourier Transform Jean Baptiste Joseph Fourier.
Image Enhancement and Restoration
Lecture 1.26 Spectral analysis of periodic and non-periodic signals.
The Fourier Transform Jean Baptiste Joseph Fourier.
Fourier Series.
The Time of Lagrange, Fourier, and Cauchy
Frequency domain analysis and Fourier Transform
MA 527 Dr. Park.
Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L) -L L -L- L
Life in the frequency domain
Characteristics of Sturm-Liouville Problems
The Fourier Transform Jean Baptiste Joseph Fourier.
The Fourier Transform Intro: Marisa, Nava, Compression Scheme project. Relies heavily on Fourier Transform.
Multimedia Processing
The Fourier Transform Jean Baptiste Joseph Fourier.
Filtering in the Frequency Domain
Intensity Transformation
Something more about…. Standing Waves Wave Function
Presentation transcript:

By Joshua Tanner and Ronald Doung Math 320 3/15/10 Fourier Analysis By Joshua Tanner and Ronald Doung Math 320 3/15/10

Types of Waves

Slinky Wave

Interference Constructive Destructive

Analog waves and Digital Waves Analog to Digital Analog waves and Digital Waves The Nyquist limits – Making sure you have enough points to show the wave.

Waves and Numbers

Who is Fourier Jean Baptiste Joseph Fourier, 1768 - 1830 He was a French mathematician and physicist during the reign of emperor Napoleon In 1822 he published the Théorie analytique de la chaleur His work claimed that any periodic function f(x) can be expressed as a series of sine functions Fourier transformations, Fourier series and Fourier analysis was later named in his honor

What is Fourier Analysis? Given any periodic function, a function can be written as a sum of trigonometric functions This idea is based on prior knowledge of constructive and destructive interference Basic idea: “taking the limit of the sum of the trig functions to infinity will produce the desired graph”

Fourier Analysis in the Real World Fourier analysis and transformations have many applications in the real world. Some of these include: Touch-tone dialing The dialing pad acts as a matrix, each key corresponds to two frequencies Sound editing Given an audio recording, we can separate unwanted sound frequencies from initial recording Image processing Can remove unwanted wave patterns from radio frequency caught by a digital camera