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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 display tagshide tags

    This module is included inLens: Rice University ELEC 301 Project Lens
    By: Rice University ELEC 301As a part of collection:"ELEC 301 Projects Fall 2007"

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Module by: Jason Holden. E-mail the author

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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).

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Summary: The results of our implementation of the remote sound detection system.

Both the inverse filter and the vocal band filter performed well at improving the quality of the transmitted signal by compensating for the observed distortion and removing additive noise. The inverse filter successfully boosted the high frequencies that were absorbed by the window. The vocal band filter isolated the speech portion of the signal and successfully removed much of the noise produced by the low-frequency window vibrations. The spectrum of the filtered signal appears similar in shape to the human voice spectrum in the pass band.

Possible Improvements

In order to improve the quality of the recorded signal, we’d like to explore ways of improving the transmission process to get better results. One method that we conceived is to modulate the laser beam at its source with a carrier frequency. We could then demodulate the recorded signal digitally. In theory, this scheme could considerably reduce the amount of additive noise in the transmitted signal by moving the transmitted speech band away from the strong low-frequency noise and into the high-frequency range.

Conclusion

This project was an enjoyable experience for all the members in our group. We got to experiment with a technology that was new to us, and we got to learn a lot about digital speech processing. Overall we are proud of the project.

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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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