CourseworkInterests Artificial Neural Networks amp Learning Machines Analytical Modeling Usability Electrical Engineering amp Engineering Science Jamal Spearmon CourseworkInterests ID: 642545
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Slide1
iRoq
Chad, Jamal, RyanSlide2
Chad Ostrowski
Coursework/Interests
Artificial Neural Networks & Learning MachinesAnalytical ModelingUsability
Electrical Engineering & Engineering ScienceSlide3
Jamal Spearmon
Coursework/Interests
Satellite Comm. SystemsRF EngineeringComm. Networks
Electrical EngineeringSlide4
Ryan Clothier
Coursework/Interests
Industry Quality Engineering Product Realization MOSFET Semiconductor Fabrication Lab
Optics
Electrical EngineeringSlide5
Ultrasonic Directional SpeakersSlide6
Problems
Finding Transducers that operate in desired range
Finding components that sample at the rate needed
Generating the desired outputParts are cost prohibitiveSlide7
Technical Update
Conceptual Verification from Product Realization
Use of Tweeters as opposed to Transducers
Eliminated V/F ~ F/V block in designStereo Signal Output produced by MatlabSlide8
Tech Specs
Tweeters-
70 [W] RMS per channel
Rated @ 8 Ω ± 0.1%Signal to Noise Ratio – 99 dBOverall Frequency Response – 25 Hz to 40 KHz
Input signal from soundcard - 175 mV Slide9
We Can Hear Ultrasound Beat Frequencies!Slide10
Matlab
function this=noise(
SecsOfPlay,FreqOfPlayLeft,FreqOfPlayRight
) if nargin==2
FreqOfPlayRight
=
FreqOfPlayLeft
;
end
Fs=
FreqOfPlayLeft
/.05;
bits=
SecsOfPlay
*Fs;
NumWavesLeft
=.05*bits;
NumWavesRight
=
FreqOfPlayRight
*
SecsOfPlay
;
t=
linspace
(0,bits,bits);
y=zeros(bits,2);
y(:,1)=sin(2*pi*
NumWavesLeft
*t);
y(:,2)=sin(2*pi*
NumWavesRight
*t);
sound(
y,Fs
)Slide11
Right Channel @ 18880 HzSlide12
Left Channel @ 18000 HzSlide13
SummaryHigh directivity of sound
Frequency shifted signal to hear beat freq
Offering privacy in a congested world
iRoq