'Inverse fourier transform' presentation slideshows

Anti-Aliasing

Anti-Aliasing . Jian Huang, CS594, Fall 2008 This set of slides references our text book and the slides used at Ohio State by Prof. Roger Crawfis. Aliasing?. Aliasing. Aliasing comes from in-adequate sampling rates of the continuous signal

1.22k views • 106 slides

Speech Processing

Speech Processing. Short-Time Fourier Transform Analysis and Synthesis. Short-Time Fourier Transform Analysis and Synthesis Minimum-Phase Synthesis. Speech & Audio Signals are varying and can be considered stochastic signals that carry information.

1.2k views • 90 slides

CPSC 641 Computer Graphics: Fourier Transform

CPSC 641 Computer Graphics: Fourier Transform. Jinxiang Chai. Image Scaling. This image is too big to fit on the screen. How can we reduce it? How to generate a half- sized version?. Image Sub-sampling. 1/8. 1/4. Throw away every other row and column to create a 1/2 size image

949 views • 69 slides

Recap from Friday

Recap from Friday. linear Filtering convolution differential filters filter types boundary conditions. The Frequency Domain. Somewhere in Cinque Terre, May 2005. CS195g: Computational Photography James Hays, Brown, Spring 2010. Slides from Steve Seitz and Alexei Efros. Salvador Dali

836 views • 67 slides

Chapter 4 The Fourier Series and Fourier Transform

Chapter 4 The Fourier Series and Fourier Transform. Fourier Series Representation of Periodic Signals. Let x ( t ) be a CT periodic signal with period T, i.e., Example: the rectangular pulse train. The Fourier Series. Then, x ( t ) can be expressed as

3.88k views • 55 slides

Mr. A. Square Unbound

Mr. A. Square Unbound. Continuum States in 1-D Quantum Mechanics. With Apologies to Shelley. In the previous section, we assumed That a particle exists in a 1-d space That it experiences a real potential, V(x) That its wavefunction is a solution of the TISE or TDSE

502 views • 40 slides

SIGNAL PROCESSING WITH MATLAB

SIGNAL PROCESSING WITH MATLAB. Presented by: Farah Hani Nordin Dr. Farrukh Hafiz Nagi. What is signal Processing?. The scope of signal processing has grown so broad as to obviate a perfect and precise definition of what is entailed in it[1].

1.75k views • 39 slides

Image enhancement

Image enhancement. Antti Tuomas Jalava Jaime Garrido Ceca . Overview. Digital subtraction angiography. Dual-energy and energy-subtraction X-ray imaging. Temporal subtraction. Gray-scale transform. Convolution mask operators. High-frequency enhancement. Adaptive contrast enhancement.

1.2k views • 39 slides

EE 4780

EE 4780. 2D Fourier Transform. Fourier Transform. What is ahead? 1D Fourier Transform of continuous signals 2D Fourier Transform of continuous signals 2D Fourier Transform of discrete signals 2D Discrete Fourier Transform (DFT). Fourier Transform: Concept.

870 views • 38 slides

Reciprocal Space Fourier Transforms

784 views • 35 slides

Fundamentals of Audio Signals

Fundamentals of Audio Signals Two signals of different amplitudes A greater amplitude represents a louder sound. Fundamentals of Audio Signals Two signals of different frequencies A greater frequency represents a higher pitched sound. Fundamentals of Audio Signals

1.44k views • 34 slides

By: Dr. Uri Mahlab

Simulation in Digital Communication. By: Dr. Uri Mahlab. Chapter # 2 Random Processes. By: Dr. Uri Mahlab. Generation of Random Variables. Most computer software libraries include a uniform random number generator. Such a random number generator a number

556 views • 33 slides

By: Dr. Uri Mahlab

Simulation in Digital Communication. By: Dr. Uri Mahlab. Chapter # 2 Random Processes. By: Dr. Uri Mahlab. Generation of Random Variables. Most computer software libraries include a uniform random number generator. Such a random number generator a number

463 views • 33 slides

Unit 5

Unit 5. The Fourier Transform. Courtesy of Professor Alan M. Nathan, University of Illinois at Urbana-Champaign. Unit 5. Many, many different equations for Fourier Transforms . . . . . 1. Mathematician Approach 2. Engineering Approach Even within each approach there are many equations.

436 views • 30 slides

SUMS OF RANDOM VARIABLES

SUMS OF RANDOM VARIABLES. Changfei Chen. Sums of Random Variables. Let be a sequence of random variables, and let be their sum: . Mean and Variance of Sums of Random Variables.

1.37k views • 28 slides

Spectral Processing of Point-sampled Geometry

402 views • 23 slides

EM Diffraction

335 views • 21 slides

MA5238 Fourier Analysis

Lecture 3. Tuesday 19 Jan 2010. MA5238 Fourier Analysis. Wayne Lawton Department of Mathematics S17-08-17, 65162749 matwml@nus.edu.sg http://www.math.nus.edu.sg/~matwml/ http://arxiv.org/find/math/1/au:+Lawton_W/0/1/0/all/0/1. continuous and periodic with period. Fourier Series.

334 views • 18 slides

648 views • 11 slides

Audio Representation and Processing

Audio Representation and Processing. CIS 465 Multimedia. Fundamentals of Audio Signals. Two signals of different amplitudes A greater amplitude represents a louder sound. Fundamentals of Audio Signals. Two signals of different frequencies

157 views • 0 slides