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This project showcases the intersection of various electrical engineering domains, including artificial neural networks, satellite communication systems, and acoustic technologies. Focused on solving practical issues, we delve into optimizing transducer performance, acoustic output, and RF engineering challenges. Key explorations include the conceptual verification of products, usability, and advancements in MOSFET fabrication. Through design and technical updates, we demonstrate methods for generating high-quality sound output while ensuring a compact and efficient engineering approach.
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iRoq Chad, Jamal, Ryan
Chad Ostrowski Electrical Engineering & Engineering Science Coursework/Interests Artificial Neural Networks & Learning Machines Analytical Modeling Usability
Jamal Spearmon Electrical Engineering Coursework/Interests Satellite Comm. Systems RF Engineering Comm. Networks
Ryan Clothier Electrical Engineering Coursework/Interests Industry Quality Engineering Product Realization MOSFET Semiconductor Fabrication Lab Optics
Problems Finding Transducers that operate in desired range Finding components that sample at the rate needed Generating the desired output Parts are cost prohibitive
Technical Update Conceptual Verification from Product Realization Use of Tweeters as opposed to Transducers Eliminated V/F ~ F/V block in design Stereo Signal Output produced by Matlab
Tech Specs Tweeters- 70 [W] RMS per channel Rated @ 8 Ω ± 0.1% Signal to Noise Ratio – 99 dB Overall Frequency Response – 25 Hz to 40 KHz Input signal from soundcard - 175 mV
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)
Summary High directivity of sound Frequency shifted signal to hear beat freq Offering privacy in a congested world iRoq