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Fundamentals of Audio Signals

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

By jacob
(852 views)

Chapter 4 The Fourier Series and Fourier Transform

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

By Thomas
(1506 views)

SIGNAL PROCESSING WITH MATLAB

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].

By hao
(1064 views)

EE 4780

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.

By eugenia
(259 views)

Unit 5

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.

By ethelda
(133 views)

Lecture 4: Imaging Theory (2/6) – One-dimensional Fourier transforms

Lecture 4: Imaging Theory (2/6) – One-dimensional Fourier transforms

Lecture 4: Imaging Theory (2/6) – One-dimensional Fourier transforms. Fourier Transform:. Inverse Fourier Transform:. Review of 1-D Fourier Theory. You may have seen the Fourier transform and its inverse written as:. Why use the top version instead?

By alika
(306 views)

Reciprocal Space Fourier Transforms

Reciprocal Space Fourier Transforms

Reciprocal Space Fourier Transforms. Outline  Introduction to reciprocal space  Fourier transformation  Some simple functions • Area and zero frequency components • 2- dimensions  Separable  Central slice theorem  Spatial frequencies  Filtering

By flann
(200 views)

Image enhancement

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.

By ozzie
(365 views)

SUMS OF RANDOM VARIABLES

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.

By stevie
(360 views)

Spectral Processing of Point-sampled Geometry

Spectral Processing of Point-sampled Geometry

Spectral Processing of Point-sampled Geometry. Mark Pauly Markus Gross ETH Zürich. Outline. Introduction Spectral processing pipeline Results Conclusions. Introduction. Point-based Geometry Processing. Spectral Methods. Introduction. Model Acquisition Range scans

By elga
(128 views)

CPSC 641 Computer Graphics: Fourier Transform

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

By barto
(146 views)

By: Dr. Uri Mahlab

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

By terrel
(157 views)

MA5238 Fourier Analysis

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.

By evelien
(125 views)

Mr. A. Square Unbound

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

By capucine
(86 views)

Speech Processing

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.

By artie
(191 views)

Recap from Friday

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

By atalaya
(157 views)

EM Diffraction

EM Diffraction

EM Diffraction. As applied to proteins. Diffraction from a grating. Molecular Expressions. Bragg’s Law. N = 2d ∙ sin ( Ө )/ λ Derivation: http://www.eserc.stonybrook.edu/ProjectJava/Bragg/ Applies to electron diffraction from crystals

By betty_james
(123 views)

By: Dr. Uri Mahlab

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

By elina
(117 views)

Anti-Aliasing

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

By sebastien
(140 views)

Audio Representation and Processing

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

By pilis
(147 views)

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