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Richard Baraniuk
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Content by Richard Baraniuk
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An Introduction to MATLAB: Vectors and Matrices
(m21398)
Author:
Louis Scharf
Maintainers:
Louis Scharf
,
Daniel Williamson
,
C. Sidney Burrus
,
Richard Baraniuk
Keywords:
electrical engineering
,
engineering
,
MATLAB
Subject:
Mathematics and Statistics
Language:
English
Popularity:
87.07%
Revised:
2009-09-16
Revisions:
5
Linear Algebra: Direction Cosines
(m21449)
Author:
Louis Scharf
Maintainers:
Louis Scharf
,
Daniel Williamson
,
C. Sidney Burrus
,
Richard Baraniuk
Keywords:
electrical engineering
,
engineering
,
linear algebra
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.88%
Revised:
2009-09-16
Revisions:
8
Signal Denoising using Wavelet-based Methods
(m18931)
Authors:
Isaac Hernandez-Fajardo
,
Georgios Evangelatos
,
Ioannis Kougioumtzoglou
,
Xin Ming
Maintainers:
Isaac Hernandez-Fajardo
,
Matthew Moravec
,
Richard Baraniuk
Keywords:
Denoising
,
Orthogonal Decomposition
,
Signal Processing
,
Wavelets
Summary:
Wavelets are an alternative tool for signal decomposition using orthogonal functions. Unlike basic Fourier analysis, wavelets do not lose completely time information, a feature that makes the technique suitable for applications where the temporal location of the signal’s frequency content is important. One of the fields where wavelets have ... are presented.
[Expand Summary]
Wavelets are an alternative tool for signal decomposition using orthogonal functions. Unlike basic Fourier analysis, wavelets do not lose completely time information, a feature that makes the technique suitable for applications where the temporal location of the signal’s frequency content is important. One of the fields where wavelets have been successfully applied is data analysis. In particular, it has been demonstrated that wavelets produce excellent results in signal denoising i.e. the removal of noise from an unknown signal. Shrinkage methods for noise removal, first introduced by Donoho in 1993, have led to a variety of approaches combining wavelets with probabilistic concepts leading to new efficient denoising procedures. This work presents a summary of basic methods for noise removal. Their main features and limitations are discussed and a comparison study is developed. A signal contaminated with Gaussian additive noise is used as testbed for the methods. Conclusions on the performance of the methods, based upon computational efficiency and number of terms used for decomposition, are presented.
[Collapse Summary]
Subject:
Science and Technology
Language:
English
Popularity:
86.82%
Revised:
2008-12-16
Revisions:
2
Fourier Series in a Nutshell
(m10751)
Authors:
Michael Haag
,
Justin Romberg
Maintainers:
Michael Haag
,
Justin Romberg
,
Richard Baraniuk
,
Mariyah Poonawala
,
Prashant Singh
Keywords:
eigenfunction
,
eigenfunctions
,
fourier
,
fourier series
,
LTI system
,
system
Summary:
This module will give a brief over of the key concepts involving the Fourier series and the tools used to decompose and approximate a given signal.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.70%
Revised:
2010-07-29
Revisions:
6
Complex Numbers: Roots of Quadratic Equations
(m21415)
Author:
Louis Scharf
Maintainers:
Louis Scharf
,
Daniel Williamson
,
C. Sidney Burrus
,
Richard Baraniuk
Keywords:
complex numbers
,
electrical engineering
,
engineering
,
quadratic equations
,
roots
Subject:
Mathematics and Statistics
Language:
English
Popularity:
86.67%
Revised:
2009-09-16
Revisions:
6
The Principal’s Role in Improving and Sustaining Parent Involvement
(m12925)
Authors:
Angus MacNeil
,
Melissa Patin
Maintainers:
Angus MacNeil
,
Richard Baraniuk
Keywords:
Parent Involvement
,
Principal's role
,
Teachers role
,
volunteering
Summary:
Principals and teachers need parental involvement in order to successfully educate students.
Subject:
Science and Technology
Language:
English
Popularity:
86.62%
Revised:
2005-07-24
Revisions:
2
DFT: Fast Fourier Transform
(m0504)
Author:
Don Johnson
Maintainers:
Prashant Singh
,
Richard Baraniuk
,
Mariyah Poonawala
Keywords:
Cooley-Tukey
,
fast Fourier transform
,
FFT
Summary:
The DFT can be reduced from exponential time with the Fast Fourier Transform algorithm.
Subject:
Science and Technology
Language:
English
Popularity:
86.30%
Revised:
2004-08-04
Revisions:
9
Code for Voice Conversion
(m12477)
Author:
Matthew Hutchinson
Maintainers:
Matthew Hutchinson
,
Adan Galvan
,
Richard Baraniuk
Keywords:
matlab code
,
praat code
,
speech processing in matlab
,
voice conversion code
,
voice converstion in matlab
Summary:
The MATLAB and Praat code files for performing voice conversion.
Subject:
Science and Technology
Language:
English
Popularity:
85.78%
Revised:
2010-05-07
Revisions:
6
DirectShow Filter Design for Laugh Track Removal
(m15641)
Author:
Justin Nordin
Maintainers:
Justin Nordin
,
Richard Baraniuk
Keywords:
Canned Laughter
,
DirectShow
,
Filtering
,
Finite State Machine
,
FSM
,
Laugh Track
,
Real-time
,
Signal Processing
Summary:
This module discusses the implementation of a DirectShow filter designed to remove laugh tracks from audio streams. It is part of a series discussing the implementation of a real-time laugh track removal system. A link containing a working version of the filter is provided.
Subject:
Mathematics and Statistics
Language:
English
Popularity:
85.72%
Revised:
2009-11-02
Revisions:
5
Deriving the Fast Fourier Transform
(m0528)
Author:
Don Johnson
Maintainers:
Prashant Singh
,
Richard Baraniuk
,
Mariyah Poonawala
Keywords:
butterfly
,
complexity
,
Cooley-Tukey
,
fast fourier transform
,
fft
,
order
Summary:
Using the Cooley-Tukey algorithm to derive fast transforms.
Subject:
Science and Technology
Language:
English
Popularity:
85.72%
Revised:
2004-08-04
Revisions:
8
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