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Matthew Hutchinson
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Discrete-Time Signals
(m0009)
Author:
Don Johnson
Maintainers:
Don Johnson
,
Roy Ha
,
Benjamin Fite
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
alphabet
,
complex
,
complex-valued
,
decompose
,
discrete-time
,
exponential
,
real-valued
,
sequences
,
signals
,
sine
,
sinusoid
,
symbolic-valued signals
,
systems
,
unit sample
Summary:
Signals can be represented by discrete quantities instead of as a function of a continuous variable. These discrete time signals do not necessarily have to take real number values. Many properties of continuous valued signals transfer almost directly to the discrete domain.
Subject:
Science and Technology
Language:
English
Popularity:
97.51%
Revised:
2009-06-04
Revisions:
25
Discrete-Time Systems in the Time-Domain
(m10251)
Author:
Don Johnson
Maintainers:
Don Johnson
,
CJ Ganier
,
John Cottrell
,
Matthew Hutchinson
Keywords:
difference equation
,
digital signal processing
,
discrete-time systems
,
DSP
,
shift-invariant systems
,
superposition
,
time domain
Summary:
Discrete-time systems allow for mathematically specified processes like the difference equation.
Subject:
Science and Technology
Language:
English
Popularity:
93.41%
Revised:
2013-05-18
Revisions:
26
Eigenvectors and Eigenvalues
(m10736)
Authors:
Michael Haag
,
Justin Romberg
Maintainers:
Michael Haag
,
Justin Romberg
,
Richard Baraniuk
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
determinant
,
eigenfunction
,
eigenvalue
,
eigenvalues
,
eigenvector
,
fourier
,
fourier series
,
linear system
Summary:
This module defines eigenvalues and eigenvectors and explains a method of finding them given a matrix. These ideas are presented, along with many examples, in hopes of leading up to an understanding of the Fourier Series.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
99.18%
Revised:
2010-07-29
Revisions:
9
Fourier Series Wrap-Up
(m10749)
Authors:
Michael Haag
,
Justin Romberg
Maintainers:
Michael Haag
,
Justin Romberg
,
Richard Baraniuk
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
fourier
,
fourier series
,
signal
,
system
Summary:
(Blank Abstract)
Subject:
Mathematics and Statistics
Language:
English
Popularity:
76.10%
Revised:
2010-07-29
Revisions:
7
Fourier Series: Eigenfunction Approach
(m10496)
Author:
Justin Romberg
Maintainers:
Justin Romberg
,
Richard Baraniuk
,
Michael Haag
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
coefficient
,
eigenfunctions
,
fourier
,
fourier coefficients
,
fourier series
,
inverse transform
,
LTI
,
LTI system
,
signals
,
transform
Summary:
This module will introduce the Fourier Series and its Fourier coefficients using the concepts of eigenfunctions and basis. We will show several examples of how to decompose a signal and find the Fourier coefficients.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
95.82%
Revised:
2010-07-29
Revisions:
24
Gibbs Phenomena
(m10092)
Authors:
Ricardo Radaelli-Sanchez
,
Richard Baraniuk
Maintainers:
Ricardo Radaelli-Sanchez
,
Mariyah Poonawala
,
Prashant Singh
,
Justin Romberg
,
Melissa Selik
,
Matthew Hutchinson
,
Dan Calderon
Keywords:
almost everywhere
,
fourier series
,
gibbs phenomenon
,
nonuniform convergence
Summary:
The Fourier Series is the representation of continuous-time, periodic signals in terms of complex exponentials. The Dirichlet conditions suggest that discontinuous signals may have a Fourier Series representation so long as there are a finite number of discontinuities. This seems counter-intuitive, however, as complex exponentials are continuous functions ... of discontinuities.
[Expand Summary]
The Fourier Series is the representation of continuous-time, periodic signals in terms of complex exponentials. The Dirichlet conditions suggest that discontinuous signals may have a Fourier Series representation so long as there are a finite number of discontinuities. This seems counter-intuitive, however, as complex exponentials are continuous functions. It does not seem possible to exactly reconstruct a discontinuous function from a set of continuous ones. In fact, it is not. However, it can be if we relax the condition of exactly and replace it with the idea of almost everywhere. This is to say that the reconstruction is exactly the same as the original signal except at a finite number of points. These points, not necessarily suprisingly, occur at the points of discontinuities.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
96.79%
Revised:
2011-09-29
Revisions:
15
Haar Wavelet Basis
(m10764)
Authors:
Roy Ha
,
Justin Romberg
Maintainers:
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
,
Dan Calderon
Keywords:
basis
,
expansion
,
fourier
,
fourier series
,
haar
,
haar wavelet
,
hilbert
,
hilbert spaces
,
wavelet
,
wavelets
Summary:
This module gives an overview of wavelets and their usefulness as a basis in image processing. In particular we look at the properties of the Haar wavelet basis.
Subject:
Science and Technology
Language:
English
Popularity:
97.72%
Revised:
2011-09-02
Revisions:
10
Inner Products
(m10755)
Authors:
Michael Haag
,
Justin Romberg
Maintainers:
Michael Haag
,
Justin Romberg
,
Richard Baraniuk
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
dot product
,
inner product
,
inner products
,
norm
,
orthogonal
,
projection
Summary:
This module describes the concept of inner products, which leads into our introduction of Hilbert spaces. Examples and properties of both of these concepts are discussed.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
91.87%
Revised:
2010-07-29
Revisions:
9
Linear Algebra: The Basics
(m10734)
Authors:
Michael Haag
,
Justin Romberg
Maintainers:
Michael Haag
,
Justin Romberg
,
Richard Baraniuk
,
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Keywords:
bases
,
basis
,
independence
,
linear algebra
,
linear independence
,
span
Summary:
This module will give a very brief tutorial on some of the basic terms and ideas of linear algebra. These will include linear independence, span, and basis.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
98.39%
Revised:
2010-07-29
Revisions:
7
Matrix Diagonalization
(m10738)
Author:
Michael Haag
Maintainers:
Mariyah Poonawala
,
Prashant Singh
,
Matthew Hutchinson
Summary:
(Blank Abstract)
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.61%
Revised:
2010-07-29
Revisions:
7
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