Connexions

Sections
You are here: Home » Content » Concise Signal Models

About: Concise Signal Models

Collection by: Michael Wakin. E-mail the author

View the content: Concise Signal Models

Metadata

Name: Concise Signal Models
ID: col10635
Language: English (en)
Summary: This collection reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, compression, dimensionality reduction, and Compressed Sensing.
Subject: Science and Technology
License: Creative Commons Attribution License CC-BY 2.0
Authors: Michael Wakin (mwakin@mines.edu)
Copyright Holders: Michael Wakin (mwakin@mines.edu)
Maintainers: Michael Wakin (mwakin@mines.edu), Daniel Williamson (dcwill@cnx.org)
Latest version: 1.4 (history)
First publication date: Dec 3, 2008 4:39 pm US/Central
Last revision to collection: Sep 14, 2009 3:15 pm GMT-5

Downloads

PDF: col10635_1.4.pdf PDF file, for viewing content offline and printing. Learn more.
EPUB: col10635_1.4.epub Electronic book format file, for viewing on mobile devices. Learn more.
Collection Structure XML: col10635_1.4_collection.xml XML that defines the structure of the collection. Cannot be reimported in the editing interface. Learn more.
Source Export ZIP: col10635_1.4_complete.zip The Collection Structure XML, plus the CNXML and included media files for each module in the collection. Cannot be reimported. Learn more.
Offline ZIP: col10635_1.4_offline.zip An offline HTML copy of the content. Also includes XML, included media files, and other support files. Learn more.

Version History

Version: 1.4 Sep 14, 2009 3:15 pm GMT-5 by Daniel Williamson
Changes: 
added google analytics tracking code
Version: 1.3 Apr 14, 2009 11:07 pm GMT-5 by Michael Wakin
Changes: 
no changes, just republishing so it will regenerate the collection pdf
Version: 1.2 Apr 14, 2009 6:47 pm GMT-5 by Michael Wakin
Changes: 
moved general math preliminaries into other modules, and put manifolds module after dictionaries module
Version: 1.1 Jan 26, 2009 4:24 pm US/Central by Daniel Williamson
Changes: 
initial publication

How to Reuse and Attribute This Content

If you derive a copy of this content using a Connexions account and publish your version, proper attribution of the original work will be automatically done for you.

If you reuse this work elsewhere, in order to comply with the attribution requirements of the license (CC-BY 2.0), you must include

  • the authors' names: Michael Wakin
  • the title of the work: Concise Signal Models
  • the Connexions URL where the work can be found: http://cnx.org/content/col10635/1.4/

See the citation section below for examples you can copy.

How to Cite and Attribute This Content

The following citation styles comply with the attribution requirements for the license (CC-BY 2.0) of this work:

American Chemical Society (ACS) Style Guide:

Wakin, M. Concise Signal Models, Connexions Web site. http://cnx.org/content/col10635/1.4/, Sep 14, 2009.

American Medical Assocation (AMA) Manual of Style:

Wakin M. Concise Signal Models [Connexions Web site]. September 14, 2009. Available at: http://cnx.org/content/col10635/1.4/.

American Psychological Assocation (APA) Publication Manual:

Wakin, M. (2009, September 14). Concise Signal Models. Retrieved from the Connexions Web site: http://cnx.org/content/col10635/1.4/

Chicago Manual of Style (Bibliography):

Wakin, Michael. "Concise Signal Models." Connexions. September 14, 2009. http://cnx.org/content/col10635/1.4/.

Chicago Manual of Style (Note):

Michael Wakin, "Concise Signal Models," Connexions, September 14, 2009, http://cnx.org/content/col10635/1.4/.

Chicago Manual of Style (Reference, in Author-Date style):

Wakin, M. 2009. Concise Signal Models. Connexions, September 14, 2009. http://cnx.org/content/col10635/1.4/.

Modern Languages Association (MLA) Style Manual:

Wakin, Michael. Concise Signal Models. Connexions. 14 Sep. 2009 <http://cnx.org/content/col10635/1.4/>.