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Signals and Systems (col10064)
Maintainers: Richard Baraniuk, Prashant Singh, Mariyah Poonawala, Matthew Hutchinson, Mark Davenport, Stephen Kruzick, Dan Calderon, Matthew Moravec
Institution: Rice University
Keywords: continuous time, convolution, discrete time, elec 301, fast fourier transform, FFT, fourier series, fourier transform, frequency domain, impulse response, labview, laplace transform, linear algebra, reconstruction, rice university, sampling, signal, signal processing, system, time domain, transform, z-transform
Summary: This course deals with signals, systems, and transforms, from their theoretical mathematical foundations to practical implementation in circuits and computer algorithms. At the conclusion of ELEC 301, you should have a deep understanding of the mathematics and practical issues of signals in continuous and discrete time, linear time invariant systems, convolution, and Fourier transforms.
Subject: Science and Technology
Language: English
Popularity: 99.66%
Revised: 2011-10-11
Revisions: 14
Eigenvectors and Eigenvalues (m10736)
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
Continuous Time Impulse Function (m10059)
Maintainers: Melissa Selik, Richard Baraniuk, Justin Romberg, Ricardo Radaelli-Sanchez, Mariyah Poonawala, Prashant Singh, Matthew Hutchinson, Stephen Kruzick, Daniel Williamson, Dan Calderon
Keywords: dirac delta function, impulse, signals
Summary: Explains the use of the continuous time impulse function: the Dirac Delta Function.
Subject: Science and Technology
Language: English
Popularity: 99.10%
Revised: 2011-09-29
Revisions: 27
Properties of Continuous Time Convolution (m10088)
Maintainers: Richard Baraniuk, Stephen Kruzick, Justin Romberg, Michael Haag, Matthew Hutchinson, Marco F. Duarte, Daniel Williamson
Keywords: convolution, property, signals, systems
Summary: This module discusses the properties of continuous time convolution.
Subject: Mathematics and Statistics
Language: English
Popularity: 98.95%
Revised: 2010-09-11
Revisions: 18
Sampling Theorem (m10791)
Maintainers: Stephen Kruzick, Prashant Singh, Richard Baraniuk, Mariyah Poonawala, Matthew Hutchinson, Daniel Williamson
Keywords: dsp, Nyquist, Nyquist frequency, Nyquist theorem, reconstruction, sample, sampling, Shannon, theorem
Summary: This module builds on the intuition developed in the sampling module to discuss the Nyquist-Shannon sampling theorem, including a full statement and a proof.
Subject: Science and Technology
Language: English
Popularity: 98.92%
Revised: 2010-07-28
Revisions: 8
Linear Algebra: The Basics (m10734)
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
Continuous Time Complex Exponential (m10060)
Maintainers: Richard Baraniuk, Stephen Kruzick, Justin Romberg, Melissa Selik, Ricardo Radaelli-Sanchez, Mariyah Poonawala, Prashant Singh, Matthew Hutchinson, Daniel Williamson, Dan Calderon
Keywords: complex exponential, complex plane, signals
Summary: Describes the complex exponential function.
Subject: Science and Technology
Language: English
Popularity: 98.35%
Revised: 2011-09-29
Revisions: 25
Continuous Time Convolution (m10085)
Maintainers: Melissa Selik, Richard Baraniuk, Stephen Kruzick, Dan Calderon, Ricardo Radaelli-Sanchez, Mariyah Poonawala, Prashant Singh, Brent Hendricks, Matthew Hutchinson, Daniel Williamson
Keywords: continuous time, convolution, linear time invariant, LTI, signals, systems
Summary: Defines convolution and derives the Convolution Integral.
Subject: Mathematics and Statistics
Language: English
Popularity: 98.33%
Revised: 2011-09-30
Revisions: 35
Discrete Time Circular Convolution and the DTFS (m10786)
Maintainers: Prashant Singh, Mariyah Poonawala, Matthew Hutchinson, Catherine Elder, Dan Calderon
Keywords: circular, circular convolution, convolution, convolutions, convolve, dft, discrete fourier transform, fourier transform, system
Summary: This module describes the circular convolution algorithm and an alternative algorithm
Subject: Mathematics and Statistics
Language: English
Popularity: 97.80%
Revised: 2013-03-27
Revisions: 16
Haar Wavelet Basis (m10764)
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
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Total Collections: 1325
Total Modules: 22023