ELEC 320, Fall 2006
Profs. Wismer & Kozick
Laboratory 7: Design Project
The next several weeks in lab will be primarily devoted to
the design and development of a project related
to signals and systems.
You are free to choose the topic for your project.
Some suggested topics are listed on this page,
and some web links are provided.
You will have the opportunity to give
an oral presentation/demonstration of your project on
December 4 (both lab sections will
meet on this day),
and you will submit a written report.
For October 25 and 30: Please list some potential project ideas,
and identify your lab partners for the project.
Also, please finish items from Lab 6,
Be sure you can use the FFT on the oscilloscope, and that you know
how to use the Keithley A/D, D/A card from Matlab.
For November 1 and 6: Please submit an abstract that describes
your lab design project. Include the
title, the names of the participants, and a brief description of what
you plan to do. You may refine your plans as you work over the coming
weeks, but do your best to write an abstract based on your current
understanding of your project.
You should begin writing the abstract during the lab sessions on
October 25 and 30.
Design Project Overview
You can work on the project individually, or in groups of
two or three students.
You must work with students in the same lab session.
Projects from larger groups should be more ambitious.
Be creative, and choose something that interests you!
Your project can be a purely analog system, a digital signal
processing system, or a combination of analog and digital.
The A/D and D/A cards are available to facilitate
data acquisition and real-time implementation of your project.
You can sample data with the A/D card and process it in Matlab,
It is also possible for your project to be more of a
research paper than an implementation. However, if you choose
this type of topic, I would like you to try to implement
(or simulate in Matlab) some aspect of the topic.
Digital filtering is one application of digital signal processing.
A digital filter has a similar objective as an analog filter,
namely to accentuate certain frequencies while attenuating
The digital filter is actually a computer program that processes
the sampled data.
The Keithley cards will allow you to do real-time digital filtering,
but at a limited sample rate.
Some Project Ideas
Some suggestions for projects are listed below.
Selected projects from 1994 and 1995 are summarized in the paper
or, in HTML format,
Some projects from 1998 are listed at
and projects from 2004 are listed at
You are free (and encouraged!) to pursue a project that
are in-line with your interests!
Professors Wismer and Kozick
will be happy to discuss project ideas with you.
- Analog communication system to transfer analog signals
such as speech and music.
The system can be implemented with analog components,
or the modulation/demodulation can be performed digitally
We will discuss amplitude modulation (AM) in class,
so you will get an understanding of how this works.
- Digital communication system to transfer bits (0's and 1's).
Implement the system in real-time by generating waveforms in Matlab,
sending them into a channel (a circuit) with the D/A card, and then
sampling the output of the channel with the A/D card.
Try to recover the bits.
- Digital speech processing.
An example project is to recognize speech and build a device
that turns a motor or a light ON and OFF based on voice commands.
- Audio signal processing.
Examples include a digital equalizer system, and special
effects such as
delays, echos, and reverberation.
You might also design and build an analog equalizer.
- Telephone touch-tone dialing: generation and detection
of DTMF tones.
Try to dial a phone, and detect the tones from an actual
Investigate alternative approaches to identifying the frequencies
that can be more efficient than band-pass filters.
(I can provide you with articles on this.)
- Spectral analysis with the fast Fourier transform (FFT).
Interesting projects can be considered to detect signals
that are buried in noise, or to remove interference signals.
- Time-domain system identification of RC circuit parameters.
We have developed an algorithm that determines the time constant
of a first-order system from experimental measurements.
The algorithm is "recursive", in that it begins with an initial
estimate, and then updates that estimate with each new measured
For more information, see
, or in HTML format at
- Frequency-domain identification of RLC circuit parameters.
See the following links for more information:
and MATLAB program
Using this approach, you can estimate the values of R, L, and C
in a circuit with as few as three measurements!
You can automate the procedure so that the measurements are
- Encryption/decryption (or scrambling/unscrambling) of speech
signals for security.
- Acoustics localization of objects using an
array of microphones.
Try to estimate the location of the
object by processing the sound signals measured at each microphone.
- An electronic guitar tuner
(may be done with analog filters, or digitally).
- Digital synthesis of acoustic guitar and other musical
- Digital image processing, including image deblurring,
noise removal, etc.
- Deconvolution: Try to recover the input signal to a system
by observing the output of the system.
If the impulse (or frequency) response of the system is known, then
this is not too hard.
Many times the system response is not known, and this leads to
- An adaptive notch filter to remove sinusoidal interference from
The filter automatically adjusts itself if the frequency of the
- Any application of analog and/or digital filters.