Digital Signal Processing Software

Summer of Content 2007 +/-

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• Interns - If you are interested in this project, add your name to the Interested interns section below along with a brief description of why you're interested and why you'd be a good mentor for this project, along with any specific ideas for execution you might have beyond the project description.
• Mentors - If you are interested in this project, add your name to the Interested mentors section below along with a brief description of why you're interested and why you'd be a good mentor for this project, along with any specific ideas for execution you might have beyond the project description.
• Others - If you are interested in this project in a role other than that of potential mentor or potential intern (example: you are an organization, a potential end-user/tester, may have helpful resources, or want to be notified if the project is chosen), add your name to the Other interested parties section below with contact information and details.
• Everyone - Contribute to the project description on this page, or discuss this project on the associated talk page (click the "discussion" tab on top).

The deadline for editing this proposal or adding yourself to the list is 11:59pm EST (GMT-5) on August 6, 2007.

Digital Signal Processing Software for OLPC

Objective

Develop a simple and scalable Digital Signal Processing [DSP] application for OLPC using python/C++.

Description

The DSP application will provide the users with the following capabilities:

•Ability to load/record audio files which must be processed using DSP filters.

•Provide pre-configured filters which will process the loaded audio files.

•Provide a method to save and playback the processed audio files.

Target Audience

•Young Students – The application will provide the young students various ways to experiment with some standard DSP filters which transform the recorded sound signal. Eg: Change of pitch/speed or special effects like that of a robot, Donald Duck etc.

•Engineering Students – The application can also be used by students enrolled in DSP courses to analyze the effect of various filters on the recorded voice as part of their lab experiments.

Plan

1.Gaining basic knowledge about DSP, which would be sufficient for the application development phase. Revision of mathematical operations specifically required for development of DSP algorithms.

2.Fixing the DSP effects and algorithms that will be provided as pre-configured filters within the application.

3.Understanding how DSP can be done through Python/C++.

4.Building a framework/algorithm class of all DSP algorithms we intend to incorporate in the application.

5.Use the classes developed in the previous step within an application for the OLPC.

Existing Tools Present

•Signal Processing using C++ - SF.NET Project Page - The project provides reusable DSP algorithms that we can use for making an application for OLPC.

Interested interns

Intern name

Contact information, why you'd be good for the job, any specific plans, variants, or details you would personally like to implement and why

Interested mentors

Mentor name

Contact information, why you'd be good for the job, any specific plans, variants, or details you would personally like to implement and why

Other interested parties

Name

Contact information, what your interest is