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2 total messages Started by Stan Reeves Wed, 29 Jul 1992 19:04
teaching DSP with matlab
#155
Author: Stan Reeves
Date: Wed, 29 Jul 1992 19:04
12 lines
891 bytes
I would like to use Matlab in teaching a DSP course.  I was wondering if
anyone else out there has used Matlab for this purpose and would be
willing to share tutorial info, problem sets, and/or m-files with me.
Also, if anyone knows of a book that would have this kind of info, I'd
appreciate a reference.  Thanks.


--
Stan Reeves
Auburn University, Department of Electrical Engineering, Auburn, AL  36849
INTERNET: sjreeves@eng.auburn.edu
Re: teaching DSP with matlab
#158
Author: Dr. Robin Lake
Date: Wed, 29 Jul 1992 20:30
46 lines
2446 bytes
In article <sjreeves.920729140430@fourier.ee.eng.auburn.edu> sjreeves@eng.auburn.edu (Stan Reeves) writes:
>
>I would like to use Matlab in teaching a DSP course.  I was wondering if
>anyone else out there has used Matlab for this purpose and would be
>willing to share tutorial info, problem sets, and/or m-files with me.
>Also, if anyone knows of a book that would have this kind of info, I'd
>appreciate a reference.  Thanks.
>
>
>--
>Stan Reeves
>Auburn University, Department of Electrical Engineering, Auburn, AL  36849
>INTERNET: sjreeves@eng.auburn.edu


There is a Signal Processing Toolbox available from The Math Works.  It
claims:
	Digital and analog filter design
	Spectrum analysis
	Convolution, correlations, and FFT analysis
	1-D and 2-D signal processing.

Costs $295.  Consists of a set of m-files and a reasonable set of
documentation, certainly NOT tutorial in nature.

Students would need to learn some MatLab in order to import the data and
perform the DSP analyses.  Not too bad a task.  Could be done in 2 class/lab
sessions.

There are other Toolboxes available from The Math Works.  Call Peter
Tarbox at 508-653-1415.

There is a Higher Order Spectra Toolbox (expensive) from United Signals
and Systems, Inc.  A set of lecture notes is available, but this is truly
at an advanced graduate level, IMHO.

We are using the Signal and System Identification Toolboxes for production
work on a Mac Quadra.  This is not a bad approach, particularly if you
have Excel plus a UNIX box networked in.  Lots of data manipulation gets
done and the MatLab tools produce the final results.  The graphs can be
captured and manipulated as PICTS with SuperPaint, then pasted into a 
Word document.  Not as nice nor as flexible as AVS, but the work pours out!

Rob Lake
BP Research
lake@rcwcl1.dnet.bp.com
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