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A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

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Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

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  • Rice University ELEC 301 Projects

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2006"

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The Team and Thanks

Module by: Chris Pasich. E-mail the author

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Summary: An overview of the team and our personal thanks.

The Team

Our group is:

  • Damen Hattori: A junior ELEC from Will Rice, Damen enjoys physics, adores linear algebra, and is currently working on proving calculus. He also wrote the code for the formant analysis and autoregressive model.
  • Josh Long: A junior ELEC from Sid, Josh enjoys arts and crafts, long walks on the beach, and watching train wrecks. Josh helped create the beautiful poster for the presentation, in addition to doing background research.
  • Matt McDonell: A junior ELEC from Jones College, Matt wrote the MATLAB language. All of "it". "It", of course, is the envelope detector used in this project. But he did that just for fun.
  • Chris Pasich: A junior ELEC from Lovett, Chris helped start up connexions along with Richard Baraniuk (Chris 0%, RichB 100%). He also helped the Short Bus get back on track by writing their connexions modules and documenting the results from the actual testing.

Thanks and Recognition

The team would also like to thank Professor Richard Barniuk and Mark Davenport, who helped teach us the material that got us started on out project. We also would like to thank a few groups from previous years, who we looked at for ideas: the Introduction to Methods for Voice Conversion ELEC 301 group project for a backgroup on speech signals, and the Formant Analysis and Vowel Detection ELEC 431 group project for a background on formants.

In addition, we also found help online from two other key sources: The Speech Processing Workstation, which helped in pretty much everything, especially envelopes, and HyperPhysics Vowel Sounds site, a huge resource when examining formants.

Finally, we want to thank MATLAB - without it, the time in lab would have been in vain.

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Rating system

Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

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'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.

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Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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