Signal Processing: Propaedeutics

Slides:



Advertisements
Similar presentations
For more ppt’s, visit Fourier Series For more ppt’s, visit
Advertisements

Z-Plane Analysis DR. Wajiha Shah. Content Introduction z-Transform Zeros and Poles Region of Convergence Important z-Transform Pairs Inverse z-Transform.
DCSP-11 Jianfeng Feng
Signals and Fourier Theory
Fourier Series 主講者:虞台文.
Fourier Transform (Chapter 4)
Fourier Transforms of Special Functions
Fourier Transform – Chapter 13. Image space Cameras (regardless of wave lengths) create images in the spatial domain Pixels represent features (intensity,
Basis beeldverwerking (8D040) dr. Andrea Fuster Prof.dr. Bart ter Haar Romeny dr. Anna Vilanova Prof.dr.ir. Marcel Breeuwer The Fourier Transform II.
Note To be transmitted, data must be transformed to electromagnetic signals.
Aristotle University of Thessaloniki – Department of Geodesy and Surveying A. DermanisSignals and Spectral Methods in Geoinformatics A. Dermanis Signals.
Fourier Transform – Chapter 13. Fourier Transform – continuous function Apply the Fourier Series to complex- valued functions using Euler’s notation to.
Leo Lam © Signals and Systems EE235. Fourier Transform: Leo Lam © Fourier Formulas: Inverse Fourier Transform: Fourier Transform:
Fourier Series.
Sep 15, 2005CS477: Analog and Digital Communications1 Modulation and Sampling Analog and Digital Communications Autumn
S. Mandayam/ ECOMMS/ECE Dept./Rowan University Electrical Communication Systems ECE Spring 2008 Shreekanth Mandayam ECE Department Rowan University.
Image Fourier Transform Faisal Farooq Q: How many signal processing engineers does it take to change a light bulb? A: Three. One to Fourier transform the.
S. Mandayam/ ECOMMS/ECE Dept./Rowan University Electrical Communication Systems ECE Spring 2009 Shreekanth Mandayam ECE Department Rowan University.
Lecture 25 Laplace Transform
Fourier Series. is the “fundamental frequency” Fourier Series is the “fundamental frequency”
S. Mandayam/ ECOMMS/ECE Dept./Rowan University Electrical Communication Systems ECE Spring 2008 Shreekanth Mandayam ECE Department Rowan University.
University of Texas at Austin CS395T - Advanced Image Synthesis Spring 2006 Don Fussell Fourier Transforms.
Time and Frequency Representation
Fourier Transform Comp344 Tutorial Kai Zhang. Outline Fourier Transform (FT) Properties Fourier Transform of regular signals Exercises.
EE D Fourier Transform.
The Nyquist–Shannon Sampling Theorem. Impulse Train  Impulse Train (also known as "Dirac comb") is an infinite series of delta functions with a period.
Fourier Series Or How I Spent My Summer Vacation (the 2 weeks after the AP Exam) Kevin Bartkovich Phillips Exeter Academy 1.
Fourier representation for discrete-time signals And Sampling Theorem
Signals and Systems Jamshid Shanbehzadeh.
EE D Fourier Transform. Bahadir K. Gunturk EE Image Analysis I 2 Summary of Lecture 2 We talked about the digital image properties, including.
Outline  Fourier transforms (FT)  Forward and inverse  Discrete (DFT)  Fourier series  Properties of FT:  Symmetry and reciprocity  Scaling in time.
Fourier’s Theorem Beats????. Fourier Series – Periodic Functions.
From Fourier Series to Fourier Transforms. Recall that where Now let T become large... and so ω becomes small... Fourier Transform of f(x) Inverse Fourier.
Fourier theory We know a lot about waves at a single  : n( , v p ( , R(  absorption(  … Analyze arbitrary in terms of these, because Fourier.
Chapter 4 Fourier transform Prepared by Dr. Taha MAhdy.
Chapter 2 Signals and Spectra (All sections, except Section 8, are covered.)
Fourier Analysis of Discrete Time Signals
11/20/2015 Fourier Series Chapter /20/2015 Fourier Series Chapter 6 2.
Part 4 Chapter 16 Fourier Analysis PowerPoints organized by Prof. Steve Chapra, University All images copyright © The McGraw-Hill Companies, Inc. Permission.
CH#3 Fourier Series and Transform
INTRODUCTION TO SIGNALS
ABE 463 Electro-hydraulic systems Laplace transform Tony Grift
1 “Figures and images used in these lecture notes by permission, copyright 1997 by Alan V. Oppenheim and Alan S. Willsky” Signals and Systems Spring 2003.
Chapter 2. Characteristics of Signal ※ Signal : transmission of information The quality of the information depends on proper selection of a measurement.
The Fourier Transform.
CH#3 Fourier Series and Transform 1 st semester King Saud University College of Applied studies and Community Service 1301CT By: Nour Alhariqi.
Dr S D AL_SHAMMA Dr S D AL_SHAMMA11.
Computer Vision – 2D Signal & System Hanyang University Jong-Il Park.
Math for CS Fourier Transform
Fourier Transform (Chapter 4) CS474/674 – Prof. Bebis.
Gravitational Wave Data Analysis  GW detectors  Signal processing: preparation  Noise spectral density  Matched filtering  Probability and statistics.
University of Texas at Austin CS384G - Computer Graphics Fall 2010 Don Fussell Fourier Transforms.
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,
Fourier Analysis Patrice Koehl Department of Biological Sciences National University of Singapore
EXAMPLE FORMULA DEFINITION 1.
Integral Transform Method
Section II Digital Signal Processing ES & BM.
Chapter 2 Data and Signals
Probability and Statistics
Discrete Fourier Transform (DFT)
Matched Filtering Junwei Cao (曹军威) and Junwei Li (李俊伟)
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
6. Time and Frequency Characterization of Signals and Systems
Software Implementation
Continuous-Time Fourier Transform
Fourier Transforms University of Texas at Austin CS384G - Computer Graphics Fall 2008 Don Fussell.
Discrete Fourier Transform
The Frequency Domain Any wave shape can be approximated by a sum of periodic (such as sine and cosine) functions. a--amplitude of waveform f-- frequency.
Presentation transcript:

Signal Processing: Propaedeutics Junwei Cao (曹军威) and Junwei Li (李俊伟) Tsinghua University Gravitational Wave Summer School Kunming, China, July 2009 1

Signals Signals: carriers in information transmitting Deterministic signals Random signals Deterministic Random

Time vs. Frequency

Unit Impulse Dirac delta definition

Fourier Series Periodic signal f(t) period: Angular frequency:

Euler Formula According to Euler formula Rewrite Fourier series

Discrete vs. Continuous When periodic non-periodic From discrete to continuous Discrete Continuous

Fourier Transformation From Fourier series Set

Fourier Inverse Transformation

An Example

An Exercise A periodic cosine signal Requirement: Its Fourier transform Draw the waveform of

Answers

Thank You ! Junwei Cao jcao@tsinghua.edu.cn http://ligo.org.cn 13